Uchanganuzi wa Takwimu Jobs

I have a sizeable set of consumer-level data that needs to be examined with a clear, methodical approach. My priority is rigorous data analysis that turns raw records into well-supported insights I can act on right away. What I will provide • A cleaned CSV export and the associated data dictionary. • Context on how the data was collected and any known limitations. What I need from you • Exploratory and statistical analysis that highlights key patterns, correlations, and anomalies. • A concise written summary (PDF or Google Doc) explaining findings in plain English. • A set of reproducible notebooks or scripts (Python, R, or SQL—whatever you prefer) so I can rerun the analysis later. • Optional but welcome: clear, quick visual snapshots (charts ...

1. Task In this assignment, you work with similar scenario as in Exercise Overlay analysis: The city of Falun is known for the thousand-year-old mining operations in the Falu Mine, now a UNESCO World Heritage Site. It is estimated that there are ten million tons of mining waste in and around the city of Falun. As a result of the millennium-long mining activities, many square miles around the urban area contain high levels of metals, particularly lead. The map below shows areas where lead concentrations in the soil exceed 300 and 700 mg/kg TS, respectively. Considering the scenario above, you need to produce the following: a) Calculate the size of the area (in square kilometers), where lead concentrations exceed than 300 mg/kg TS b) Create a map showing the area of the city of Falun, where ...

# Project Requirement: Deep Learning Side-Channel Analysis Pipeline for 3DES Smartcards ## Project Overview We are seeking an experienced security engineer / machine learning specialist to update and correct an existing Deep Learning-based Side-Channel Analysis (SCA) pipeline for Triple-DES (3DES) smartcards. The current pipeline successfully recovers session keys from known-input traces but produces incorrect 3DES keys when applied to blind forensic traces, despite achieving 100% attack success rate. ## Background The existing pipeline implements a hypothesis-based profiling attack using Multi-Layer Perceptrons (MLP) to extract 3DES session keys (K_ENC, K_MAC, K_DEK) from electromagnetic traces. While the system achieves 100% recovery on standard datasets (Mastercard/Visa with...

I'm seeking medical research on the causes and risk factors of delirium and hearing loss, specifically in post-operative patients. Systematic review and Metaanalysis Key Focus Areas: - Investigate hearing loss as an independent risk factor for delirium ipatients. - Review existing literature and studies to compile relevant data - Systematic review and Metaanalysis. Ideal Skills and Experience: - Background in medical research, particularly in neurology or geriatrics. - Strong analytical and literature review skills. - Experience with research documentation and data compilation.

Our plant’s quality-control stage needs to become faster, leaner and more dependable without driving up cost. I’ve already gathered baseline data from the line; what’s missing is a structured process optimization effort focused squarely on the manufacturing side of operations. Here’s what I need: • A clear, data-backed diagnosis of the current QC workflow—where delays, rework or measurement errors are creeping in. • A redesigned process map that removes waste, simplifies hand-offs and embeds best-practice quality gates. • Practical recommendations on tools or statistical methods (SPC, Six Sigma, automated inspection, etc.) that fit our scale. • A concise implementation plan complete with target KPIs, owner responsibilities and a time...

I want do intraday and swing stock trading with 5000 rupees, I will invest ,the other person will analyse the market ,take the call and stop loss We will divide the total profit in 50- 50 %

I have already gathered purchase data on Bitcoin held by several non-financial companies and run an initial proof-of-concept in SAS Viya. Now I want to turn that raw work into a polished, competition-ready solution. Here is what I need: • A robust market-value model that tracks each company’s Bitcoin equity over time and converts it to USD so the dollar evolution is immediately visible. • A clear, publication-quality graph generated in SAS that illustrates that evolution. • Predictive components built in SAS: a time-series analysis to project future movements plus a complementary classification model that can flag significant shifts in market behaviour. Both should be oriented toward market trend analysis. • A concise technical report that explains the ...

More details: What specific tasks do you need help with in Economics? Homework assignments, Quizzes and tests, Research papers What specific tasks do you need help with in English? Homework assignments, Quizzes and tests, Research papers Do you require assistance with any particular topics in Economics? Microeconomics, Macroeconomics, Econometrics

I have a raw sales dataset and I want a clear, story-driven descriptive analysis that highlights how my revenue is trending, who is buying, and how each product is performing. You will start by cleaning and structuring the file, then explore it with whichever tools you prefer—Excel, SQL, Python (Pandas, Matplotlib, Seaborn) or a BI platform such as Power BI or Tableau—as long as the final insights are easy for a non-technical stakeholder like me to grasp. Statistical jargon is fine in the notebook or appendix, but the main findings need plain-English explanations. Deliverables I expect: • A short written report (PDF or slide deck) summarising revenue trends, customer demographics and product performance, supported by clear charts. • A reproducible working file...

I’m preparing to launch a line of men’s casual wear and need an evidence-based picture of the market before moving forward. My focus is strictly on T-shirts and polos, jeans and trousers, plus jackets and hoodies—nothing outside that scope for now. Here’s what I’m expecting: • A concise overview of current demand and growth trends for each of those product categories in the men’s segment. • Competitive mapping that highlights established players as well as emerging niche labels, with notes on positioning, price bands and brand voice. • Customer insights: target demographics, purchasing habits, preferred fabrics, fit and style details that motivate a buy. • Sales channels that show the relative weight of e-commerce, marketp...

I need urgent help to analyze my research data using and complete my report in two weeks. Ideal skills and experience: - Proficiency in - Experience with research data analysis - Ability to write and structure research reports

I’m in the final stretch of my aviation-engineering capstone and need a seasoned engineer to guide the research and analysis phase. The project is intentionally broad at this stage, so I’m looking for someone who can help me shape a solid mixed-methods approach, validate the technical assumptions I’ve made so far, and keep the work aligned with current industry standards. Here’s what I have and where I need you: • A preliminary problem statement and a rough outline of objectives. • Access to academic databases and recent regulatory documents, but I need help filtering the most relevant material for a robust literature review. • An initial plan for gathering both quantitative performance data and qualitative operational feedback; the methodology ...

I need a detailed two-dimensional hydraulic model to evaluate flood behaviour across a predominantly rural catchment. The model will be used exclusively for flood risk assessment, so accuracy in simulating overland flow paths, storage areas and channel–floodplain interaction is essential. I will supply topographic data, land-use information and historical flow records; you will assemble, calibrate and run the model in the 2-D module of a recognised engine such as HEC-RAS, TUFLOW, Iber, MIKE 21 or a comparable industry-standard package. Please let me know up front which platform you prefer and why, as I need to be able to review and possibly re-run scenarios later on. Deliverables • Geo-referenced flood extent maps for at least the 10-, 50- and 100-year events • Raster o...

I need a detailed analysis of financial, operational, and patient data for a hospital. The main objective is to increase operational efficiency. Key Requirements: - Financial Analysis: Review and analyze financial statements, budgets, and forecasts to identify areas for cost reduction and revenue enhancement. - Operational Analysis: Assess current operational workflows, resource allocation, and staff productivity to pinpoint inefficiencies. - Patient Data Analysis: Examine patient flow, admission, and discharge rates, along with treatment outcomes to identify bottlenecks in patient care. Ideal Skills and Experience: - Background in healthcare analytics - Strong financial acumen - Experience with data visualization tools - Ability to provide actionable insights and comprehensive reports ...

I would like to talk to someone about becoming someone we can build a commercial relationship and subcontract a few cheap and easy dashboards for local government to visualize and analyze community satisfaction focusing on public services quality. Key requirements include: - Visual representation of community satisfaction KPIs - Ability to filter data by locality and service type, and over time as needs - User-friendly interface for government officials Ideal skills and experience: - Proficiency in data visualization tools (e.g., Tableau, Power BI) - ideally something local governments will have - Experience in developing dashboards for government or public sector clients - Strong analytical skills to interpret community satisfaction data Looking for a freelancer who can deliver a comp...

I’m working in Excel and need the statistical side of my workbook tightened up. The raw data is already organised; what’s missing are well-structured formulas that turn those numbers into clear insights. Tasks include setting up the right functions for descriptive statistics, variance, correlation, and any other tests that will help me spot trends quickly. The finished file should meet these points: • All formulas entered directly in-cell (no VBA). • Functions must calculate correctly when new rows are added. • Brief, in-sheet comments explaining what each statistical formula does. If you also know your way around WordPress, let me know—future stages may involve presenting these results online, but today’s focus is purely the Excel logic.

I have an extensive set of financial records attached to an 86-million-dollar portfolio and need them transformed into clear, defensible investment insights. The core purpose is to evaluate current and prospective opportunities, not merely spot trends or forecast performance. Expect to dig into raw transactional data, balance sheets, and market feeds, then surface the strengths, weaknesses, and hidden potential of each holding. You are free to work in Python (Pandas, NumPy, SciPy), R, SQL, Excel Power Query, or any other toolkit you trust, so long as the outcome is reproducible. I will provide the data in CSV and relational-database dumps; secure transfer protocols are already in place. Deliverables • Cleaned and well-documented dataset (with transformation scripts) • Analy...

I'm seeking a detailed trend analysis on the impact of technology on student performance in primary schools. The focus is on educational software and online learning platforms. Key Requirements: - Analyze the impact of educational technology on student performance. - Focus on primary school level. - Concentrate on educational software and online learning platforms. - Provide comprehensive data and insights. Ideal Skills: - Experience in educational research. - Strong analytical skills. - Familiarity with educational technology. - Ability to present data in a clear, concise manner. Please provide relevant experience and approach.

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Hi, I am a PhD student currently completing my dissertation research, and I would be genuinely grateful for your participation. Key Details: The whole session takes about ~25 minutes. You’ll receive a fixed payment of $10 on completion, with a chance to get an additional performance-based bonus from the task. ALL participants who finish the survey and pass the quality checks will receive the full $10 payment. I can only pay $10 per survey. As an extra thank-you, you can opt into a lottery for AI-related gift cards or cash. Survey link: After completing the survey, you will see a survey code. Please paste that code here, and that will count as your entry. We are looking to hire a large number of participants, so many slots are available. All responses are anonymized; any ident...

I have a large collection of raw text documents and images that I need turned into clear, actionable insights. The job centres on exploratory data analysis rather than predictive modelling: I want to understand patterns, themes and relationships hidden inside both formats. Here is what I expect at the end of the engagement: • A well-commented Python (or R) notebook that walks through preprocessing, cleaning and exploratory techniques applied to the text and image sets. • Concise visual summaries—charts for the text, heat-maps or feature plots for the images—exported in high-resolution formats I can drop straight into presentations. • A short written report (PDF or Markdown) highlighting key findings, unusual correlations and any recommendations that emerge...

I need an expert in food safety and quality to conduct quality control tests on packaged foods. The goal is to ensure that all products meet safety standards and quality benchmarks. Key tasks include: - Developing and implementing quality control protocols - Conducting tests and inspections on packaged food products - Analyzing results and reporting on quality metrics - Collaborating with production teams to address any quality issues Ideal Candidates Should Have: - Background in food science, specifically in food safety and quality - Experience with quality control processes in the food industry - Strong analytical skills and attention to detail - Ability to create comprehensive reports Looking forward to your proposals!

Key requirements include: - Familiarity with LLM integration for code completion -Biology experience (Neuroscience and Immunology a plus) -Not too much coding and LLM experience required but asking for a learner that is good at organizing thoughts and data and taking initiative -Willingness to have live chats at least every couple of weeks in English Ideal skills and experience: - Strong background in R -Experience with mathematical modeling -Experience with biological research - Prior experience using language models for coding tasks

I have a set of finance-related CSV files that need to be explored, cleaned, and summarised. The goal is strictly descriptive analysis—think clear statistics, trends, and visual snapshots—without venturing into predictive modelling or prescriptive optimisation. All raw data will arrive as comma-separated files. You are free to use Python (pandas, NumPy, Matplotlib, Seaborn), R, Excel Power Query, or a comparable toolkit, as long as the workflow is reproducible and well-documented. Deliverables: • A concise cleaning script or notebook that imports each CSV, handles missing or inconsistent entries, and outputs a tidy dataset • A written summary (PDF or Markdown) of key descriptive metrics—averages, distributions, correlations, outliers—tailored to a fina...

I’ll hand over three raw datasets—sales transactions, customer demographics, and product inventory—spanning several stores. Your task is to stitch them together, clean inconsistencies, and delve into them with Python. Using Pandas, NumPy, and Matplotlib (feel free to add Seaborn or Plotly if that speeds insight), uncover how buying behaviour shifts: • weekday versus weekend • month by month I’m interested in concrete, data-backed stories: which products spike on Saturdays, whether certain customer segments shop more mid-week, seasonal category swings, ticket size trends, and anything else you spot that helps me fine-tune promotions and staffing. Deliverables • A merged, tidy dataset ready for future modelling • A well-commented Jupyter n...

I have an existing secondary dataset and need a clear, defensible quantitative study built around it. The core tasks involve cleaning the data, running the appropriate statistical tests, and presenting the findings in a concise, publication-ready format that includes both tables and visualisations. Because the dataset is already collected, the emphasis is on rigorous analysis rather than data gathering. You will decide on the most suitable techniques—descriptive statistics, correlation, regression, or other inferential methods—justify each choice, and document every step so the work is fully reproducible (SPSS). Deliverables: • A short methodological write-up outlining the analytical approach and assumptions • Annotated code or syntax file that can be rerun end-to...

I am working on a graduate-level project that involves mixed data types and I need one-on-one guidance to reinforce my skills—especially in data cleaning and preprocessing with Python. The focus will be on the practical, step-by-step application of Pandas, NumPy and Matplotlib while staying fully compliant with academic integrity guidelines; no AI-generated work is permitted. My most urgent challenges include: • Handling missing values • Removing duplicates • Dealing with outliers Beyond cleaning, I will also ask for advice on choosing suitable descriptive statistics, selecting the right statistical tests, and presenting results clearly. Expect questions on relationship analysis and time-series concepts as the project evolves. What I’m hoping for: cl...

I manage the finance function of a medium-sized company and need a data-savvy accountant to turn our historical numbers into clear, forward-looking insight. All raw data—from the general ledger and trial balance to recent expense spreadsheets—will be provided in Excel and CSV formats. Your core assignment is to build a robust financial-forecasting model that projects cash flow, revenue, and key cost drivers over the next 12–24 months. I’m open to the tools you prefer—whether that’s advanced Excel formulas, Power BI dashboards, Python with pandas, or a mix—so long as the output is easy for non-technical leadership to interpret. Deliverables I must see: • A dynamic forecast workbook or script with clearly labeled input cells and assumptions ...

I need a well-argued, graduate-level essay on a Business topic. Please structure it to meet standard academic conventions—clear thesis, logical flow, evidence-based analysis, and proper citation in the style you are most comfortable with (APA, MLA, or Chicago are all fine as long as you stay consistent). Deliverable: a polished Word or Google Docs file ready for submission, fully proofread and referenced. I'm studying for my MBA at Walden University and have about 30 assignments to get through. They're all in APA format, need to be 100% original (no plagiarism), written in natural human-like English, and good enough to pass with decent grades. I'm looking for a professional academic writer who can help me out with these – someone reliable and experienced in bus...

I’m finalising my dissertation and need focused writing support on the Methodology chapter, specifically the Research Design. The topic and overall objectives are already set; what’s missing is a clear, academically sound plan that links my questions to appropriate philosophical stance, sampling strategy, and data-gathering approach. Here’s what I need from you: • A concise yet rigorous Research Design section (roughly 2,000 words) aligned with current academic standards in my field • Justification of paradigm, method, and sample size, complete with recent citations in Harvard style • Clear explanation of reliability, validity/trustworthiness, and ethical considerations • Smooth integration with the rest of my draft so the narrative reads as one...

To complete this assessment, a tutor must be able to work step-by-step as follows: first, import and clean the Excel dataset in Python (using Pandas), select six appropriate stocks, and compute monthly returns; second, calculate and interpret mean returns, standard deviations, Sharpe ratios (using the 0.1% monthly risk-free rate), and construct the covariance and correlation matrices; third, systematically generate all feasible long-only portfolio weight combinations (weights between 0 and 1 summing to 1), then compute each portfolio’s expected return, standard deviation (using matrix algebra , and Sharpe ratio, and plot the feasible set; fourth, identify and explain the minimum variance portfolio and maximum Sharpe ratio portfolio, and demonstrate how to mix the optimal risky portf...

I need an LLM to assist with code completion in R, specifically for mathematical modeling tasks. Key requirements include: - Familiarity with LLM integration for code completion -Biology experience -Not too much coding and LLM experience required but asking for a learner that is good at organizing thoughts and data and taking initiative Ideal skills and experience: - Strong background in R -experience with mathematical modeling -experience with biological research - Prior experience using language models for coding tasks

Preciso de uma pesquisa na internet focada em dados e estatísticas atualizadas sobre negócios e economia. Quero informações confiáveis que possam embasar relatórios internos e orientar tomadas de decisão. Escopo principal • Levantar métricas de mercado, tendências de crescimento, tamanho de indústria e indicadores financeiros. • Localizar fontes primárias (instituições governamentais, organismos internacionais, relatórios de consultorias reconhecidas). • Validar a credibilidade de cada fonte e registrar data de publicação. • Organizar tudo em uma planilha clara, com colunas para dado, ano, país/região, e link direto para a fonte. Entre...

Preciso de uma pesquisa na internet focada em dados e estatísticas atualizadas sobre negócios e economia. Quero informações confiáveis que possam embasar relatórios internos e orientar tomadas de decisão. Escopo principal • Levantar métricas de mercado, tendências de crescimento, tamanho de indústria e indicadores financeiros. • Localizar fontes primárias (instituições governamentais, organismos internacionais, relatórios de consultorias reconhecidas). • Validar a credibilidade de cada fonte e registrar data de publicação. • Organizar tudo em uma planilha clara, com colunas para dado, ano, país/região, e link direto para a fonte. Entre...

I manage the finance function of a medium-sized company and need a data-savvy accountant to turn our historical numbers into clear, forward-looking insight. All raw data—from the general ledger and trial balance to recent expense spreadsheets—will be provided in Excel and CSV formats. Your core assignment is to build a robust financial-forecasting model that projects cash flow, revenue, and key cost drivers over the next 12–24 months. I’m open to the tools you prefer—whether that’s advanced Excel formulas, Power BI dashboards, Python with pandas, or a mix—so long as the output is easy for non-technical leadership to interpret. Deliverables I must see: • A dynamic forecast workbook or script with clearly labeled input cells and assumptions ...

I’m about to launch an experimental study in the public-health sphere and want a research partner who can take the project from protocol design right through to a publication-ready report. The work starts with refining the research question and crafting a rigorous experimental design that satisfies ethical standards and can pass IRB review. From there, I’ll need a complete data-collection plan, including randomisation procedures, sample-size calculations, and a field-ready set of instruments. If you prefer R, Python, or SPSS for statistical workflows, that flexibility is welcome as long as the analysis plan is reproducible and well-documented. Once data collection is complete, you’ll handle cleaning, statistical testing, visualisation, and interpretation, culminating ...

I’m putting together a modern-science project that zeroes in on Environmental Science, with a specific emphasis on air-pollution issues. The broad goal is to investigate today’s most pressing urban air contaminants, trace their sources, and evaluate evidence-based mitigation strategies drawn from the latest research. Here’s what I need help with: • Locating and curating recent peer-reviewed studies (preferably published within the last five years) on particulate matter, NOx, SO₂, ozone, and related health impacts. • Extracting or compiling open-source data sets that illustrate current trends—think PM2.5/PM10 measurements from reliable monitoring networks. • Running a concise analysis in Excel, R, or Python (your choice) to highlight key pattern...

I'm looking for an expert to help me build effective AI prompts for numerical data analysis. The AI will assist with: - Data Visualization: Creating insightful graphs and charts. - Predictive Analytics: Forecasting trends and outcomes. - Statistical Analysis: Performing complex statistical calculations. Ideal skills and experience: - Proficiency in AI tools and prompt engineering. - Strong background in data analysis, especially with numerical data. - Experience in data visualization tools (e.g., Tableau, Power BI). - Knowledge of statistical methods and predictive modeling. Your assistance will help streamline these tasks and enhance accuracy.

I have a time-sensitive batch of NMR, mass spectrometry and IR spectra that must be interpreted accurately. Each sample contains several unknowns; I need both a confident structural identification for every component and a reliable quantitative breakdown of their relative abundances. The raw data have already been exported in common formats, so you can work in MestReNova, TopSpin, MassLynx, OpenChrom, MATLAB, Python (e.g., nmrglue, pymzML) or any comparable toolset you prefer, provided the final results are fully traceable back to the original spectra. Turnaround is critical: an initial draft report within 48 hours, with a short feedback cycle, then finalised results no later than five days from acceptance. Please show specific experience handling combined NMR–MS–IR workflow...

I’m looking for focused help with data consulting—specifically data analysis. I have raw information in hand but need an experienced mind to walk me through the best way to clean, explore, and interpret it so that I can make confident business decisions afterward. Here is what I have in mind: • Quick review of the dataset’s structure and quality • A live or recorded walkthrough of recommended analytical steps (tool-agnostic, though I’m comfortable with Excel, Python-pandas, or Power BI if you’d like to demonstrate) • A concise summary of key findings and next-step suggestions I can action immediately Please let me know your approach, typical turnaround for an initial consultation, and any examples of similar work you’ve guided. I&...

I’m looking for a curious, data-driven analyst who can carry out rigorous market research with one clear purpose: pinpoint emerging trends and untapped opportunities. This project isn’t about compiling a generic industry overview; I want actionable insight that can guide product and go-to-market decisions. Here’s how I picture the workflow: • You’ll help me define the exact market segment we should interrogate, drawing on preliminary signals and any early hypotheses I share. • Using publicly available datasets, reputable industry reports, social-listening tools, and news/API scraping where appropriate, you’ll build a fact-base that shows where demand is growing, which customer needs are still underserved, and what macro forces are driving change. ...

I have a research paper in development and want to elevate it to publication-ready quality. I’ll provide you with the current manuscript, my notes, and any supporting data; what I need back is a version that reads clearly, is backed by up-to-date sources, and meets the formatting and citation standards of high-impact journals.

I need a freelancer who can handle the full cycle of financial analysis for my Guesty account. The first step is technical: use Guesty’s public API to pull the raw booking and payout data, then post that data to a secure web page or dashboard that I can access in real time. Once the data is flowing, I want meaningful financial analysis built on top—profitability, liquidity, and efficiency ratios are the primary focus, but I’m open to additional KPIs you believe will help me steer the business more effectively. You should be comfortable with API integration, data cleaning, and whichever analytics stack you prefer (Python + Pandas, Power BI, Tableau, etc.) as long as the end result is a clear, drill-down view of performance. Please outline your approach for connecting...

I need help carrying out a focused nutrition-status study that brings together three data streams and merges them into one clear report. Deliverables • Anthropometry: please measure and record BMI, waist-hip ratio for adults, and weight-for-age plus height-for-age for the children in the sample. • Diet: collect one precise 24-hour dietary recall per participant, following the multiple-pass method, and organise the entries in a nutrient-analysis spreadsheet. • Clinical signs: document observable vitamin or mineral deficiency indicators and note physical signs linked to obesity or metabolic syndrome. Once collection is complete, analyse the figures (Excel, SPSS, or R are all fine), generate summary tables and graphs, interpret the findings against accepted reference valu...

I’d like a data-savvy partner who can dive into our raw inventory history and surface clear, actionable trends. The sole objective is to analyze historical data—specifically inventory data—so our team can understand how stock levels have moved over time and where the pressure points sit. Here’s what I have: several years of SKU-level records housed in a SQL database, plus a few CSV extracts. I need you to pull and clean the data, run robust trend analysis in Python (Pandas, NumPy, preferably some Matplotlib or Seaborn visuals), and package the insights so they are easy for our planners to act on. Time-series forecasting or demand planning frameworks aren’t required right now, but please structure the code so we could layer those in later if needed. Deliverab...

I need a comprehensive systematic review on the efficacy of Laser-Activated New Attachment Procedure (LNAP) with Scaling and Root Planing (SRP) versus open flap debridement in treating periodontal defects. Key Requirements: - Include studies from PubMed, Cochrane Library, and Google Scholar. - Perform statistical comparisons and meta-analysis. Ideal Skills and Experience: - Expertise in systematic reviews and meta-analysis. - Strong background in periodontal research. - Proficient in statistical analysis software. - Familiarity with the specified databases. Please provide relevant credentials and experience in your bids.

I need a seasoned statistician who can move comfortably between classical regression techniques and modern Convolutional Neural Networks. The project centres on predictive analytics: you will build, compare and explain regression-based models, explore where a CNN adds value, and present the insights through clear, publication-ready visualisations created in Python (think pandas, scikit-learn, TensorFlow/Keras, matplotlib, seaborn or Plotly—use what fits best). We will begin with a brief video call so I can walk you through the dataset, the business question and the success metrics. After that, you will take full ownership of data preparation, model selection, training, validation and visual storytelling. Expect to hand back clean, well-commented notebooks and graphics that a non-tec...

Proposal using CRISP-DM (not coding): •Describe problem, data, prep, modeling, evaluation •When doing Data analysis, add before and after measurement per company •Use this survey to extract the data structures and the data lookup: •Generate random dataset with 1000 records for the form shown at open-dma link above. Strictly from what the form offers!!! Generate Before and then a After dataset (a separate one with improved results). Save it to excel as and •Process the data in python •Create a function in python that will generate individual reports (word or PDF format) – sample 5 reports (for delivery), not 1000 and produce them as files. •Create visuals for the web report or individual reports as needed. •Elaborate any correlation between ...

I need an academically rigorous thesis that investigates water-pollution violations across the United States, combining robust data analysis with vivid, well-documented case studies. The core objective is to pinpoint patterns of non-compliance, highlight enforcement gaps, and propose policy-oriented solutions grounded in empirical evidence. Scope • National coverage: federal statutes (e.g., Clean Water Act) as the legal backbone, with state-level comparisons where relevant. • Case-study driven: at least three documented incidents—ideally spanning different industries and regions—to illustrate systemic issues and the real-world impact on ecosystems and public health. • Mixed-methods approach: quantitative analysis of EPA violation databases plus qualitati...

I have several large RNA-seq datasets from TCGA covering multiple cancer types, and I need a focused survival analysis that links gene-level and gene-set activity to overall and progression-free survival. All raw counts, FPKM tables and the matched clinical files are already in place; what I require is the analytical workflow and an interpretable report. Here is the workflow I would like you to follow: • Pre-process and normalise the RNA-seq count data, matching each sample unambiguously to its clinical record. • Build Kaplan-Meier curves and multivariable Cox proportional-hazards models to identify genes whose expression significantly associates with survival outcomes, adjusting for key covariates (age, stage, subtype, etc.). • Run GSEA (Gene Set Enrichment Analysis) ...