Pandas Jobs

I have a flow of numerical data arriving on a regular basis and I want the entire predictive-analysis cycle handled automatically in Python. The goal is a script or small pipeline that can pull the fresh data, clean and transform it, train or update a predictive model, and then return the forecasts (plus standard performance metrics) without manual intervention. I expect you to choose the appropriate Python libraries—think pandas for wrangling, scikit-learn or a comparable framework for modelling, and perhaps joblib or pickle for model persistence—and stitch them together in a way that lets me trigger everything with a single command or scheduled job. Clear, well-commented code and a short README that shows how to run the automation are part of the deliverable. If you can set ...

I need a Python expert to help automate data processing tasks. The data is primarily numeric. Key Tasks: - Write scripts to automate data processing. - Handle large datasets efficiently. - Ensure accuracy and reliability in automation. Ideal Skills and Experience: - Proficiency in Python, especially in scripting and automation. - Experience with libraries like Pandas, NumPy. - Strong problem-solving skills. - Ability to work with large numeric datasets. Looking forward to your bids!

I need a clean, modern portfolio site that presents me as a Machine-Learning Engineer and lets visitors quickly explore my work. The core of the site is a Project Showcase where each project has its own page with screenshots, a short problem–solution narrative, tech-stack tags, and links to the live demo or GitHub repo. Although a full blog section is not required for the initial release, the design should leave room for a future technology-focused blog so the navigation and folder structure remain extensible. Responsive behaviour, fast loading times, and solid SEO markup are priorities because most recruiters will be viewing the site on mobile first. Please build with a modern front-end framework you are comfortable with (React, , Vue, or a lightweight static-site generator are ...

I need a freelancer to perform exploratory data analysis on a large, structured dataset (CSV or Excel). The primary goal is to summarize the main characteristics of the data. Key requirements: - Summarize dataset characteristics - Work with large structured datasets - Deliver insights quickly Ideal skills: - Proficiency in data analysis tools (e.g., Python, R, Pandas) - Experience with large datasets - Strong statistical knowledge - Ability to meet tight deadlines Please provide examples of previous similar work.

I need a small-to-mid-size Python 3.x project entirely centred on data processing. The script (or self-contained package) should be able to ingest a raw dataset from a file path or stream, apply a clear transformation pipeline that I can modify later, and write the cleaned, structured results back out. The exact data format is still flexible—I’ll provide sample files once we start—so please write modular code that separates the I/O layer from the core transformation logic. Pandas, NumPy, or similar libraries are welcome as long as they are the right tool for the job and you keep external dependencies to a minimum. My priorities are: • Readable, well-commented code that follows PEP 8 • A concise README explaining setup, usage, and how to extend or swap ...

I already run this multi-layer intraday trend-and-momentum strategy live on TradingView, and it behaves exactly as intended there. Now I need the same logic translated to a Python algo that talks to Zerodha’s Kite API so it can place and manage real NSE/BSE orders automatically. All of the trading logic is ready in Pine Script: dual-timeframe directional scoring, twin SuperTrend confirmation, jump/flip pattern triggers, momentum state scoring, ATR-managed exits, dynamic stop-losses, a trend filter, and strict intraday time gating. The job here is to reproduce that behaviour faithfully in Python, keep it modular for easy parameter tweaks, and wire it for live execution. I want you to build on familiar tools—Pandas for data handling, TA-Lib for indicator parity, and Backtrader ...

I need a freelancer to perform exploratory data analysis on a large, structured dataset (CSV or Excel). The primary goal is to summarize the main characteristics of the data. Key requirements: - Summarize dataset characteristics - Work with large structured datasets - Deliver insights quickly Ideal skills: - Proficiency in data analysis tools (e.g., Python, R, Pandas) - Experience with large datasets - Strong statistical knowledge - Ability to meet tight deadlines Please provide examples of previous similar work.

The project combines two key activities: crafting a well-structured health article and backing it with clear data analysis. I’ll supply the core topic and any background materials I already have; your task is to deepen the research, analyse relevant public datasets or peer-reviewed studies, and weave those findings into an engaging, evidence-based article suitable for a general audience. The writing should follow standard article conventions—compelling introduction, logical flow, and a concise conclusion—while the analytical portion should highlight the numbers that matter, presented through easy-to-grasp commentary and, where helpful, simple visuals such as tables or charts created with familiar tools (Excel, Google Sheets, or Python libraries like pandas/matplotlib). ...

Title: Data Analysis Project Using Python (NumPy & Pandas) – Soccer Dataset Description I am a motivated data analyst and engineering student with hands-on experience in Python-based data analysis. I recently completed a comprehensive data analysis project focused on a real-world soccer dataset, applying powerful libraries such as NumPy and Pandas. In this project, I performed: * Data cleaning and preprocessing (handling missing values, correcting data types) * Exploratory Data Analysis (EDA) to uncover patterns and trends * Statistical analysis to answer key business and performance questions * Data visualization to present insights clearly and effectively * Structured reporting following professional data analysis standards This project demonstrates my ability to transform ...