Logo ya FreelancerJinsi inavyofanya KaziVinjari Kazi
Ingia Jisajili
Chapisha Mradi
Picha ya jalada la wasifu
Sasa unafuata
Hitilafu katika kufuata mtumiaji.
Mtumiaji huyu haruhusu watumiaji kumfuata.
Tayari unamfuata mtumiaji huyu.
Mpango wako wa uanachama unaruhusu tu ufautiliaji 0. Boresha hapa.
Umefaulu kuacha kufuata
Hitilafu wakati wa kuacha kumfuata mtumiaji.
Umefaulu kupendekeza
Hitilafu katika kumpendekeza mtumiaji
Hitilafu fulani imetokea. Tafadhali onyesha upya ukurasa na ujaribu tena.
Barua pepe imethibitishwa kwa ufanisi.
Picha ya Mtumiaji
$20 USD / saa
Bedera ya UNITED KINGDOM
newcastle upon tyne, united kingdom
$20 USD / saa
Ni saa 1:40 PM hapa
Alijiunga Oktoba 27, 2016
0 Mapendekezo

Manish V.

@manishkvaidya

 0.0 (0 hakiki)
0.0
0.0
0%
0%
$20 USD / saa
Bedera ya UNITED KINGDOM
newcastle upon tyne, united kingdom
$20 USD / saa
N/A
Kazi Zilizokamilika
N/A
Kwa Bajeti
N/A
Kwa wakati
N/A
Kiwango cha Kuajiriwa Tena

Data Analytics

A Business/Data Analytics from Indian School of Business, Hyderabad. Overall 6+ years of experience in IT industry, 2+ years in data analysis and data mining. Proficient in Data Analytics, Data Warehousing, Data Visualization and Mining. Bachelor's degree holder from Nagpur University, India
Freelancer Data Processing Executives United Kingdom
Angalia woteData Processing Executives in United Kingdom

Wasiliana na Manish V. kuhusu kazi yako

Ingia ili kujadili maelezo yoyote kwenye gumzo.

Portfolio

3300440
Reviews from Flipkart/Amazon, tweets from Twitter and articles/posts from Google news were extracted and processed(cleansing, stop words,punctuation). Sentiment analysis was carried out using polarity of reviews/tweets and algorithms like TFIDF. Word Clouds and Polarity charts were created to visualize the Social media response for the product launch.
Sentiment Analysis for iPhone6 launch
3300434
The recommendation engine responds to unstructured queries like ‘best pizza place in Hyderabad’ or ‘best dish at Paradise’. The response is in the form of a definite recommendation (high information content in question) or a ranked list of options (questions with low information content). Sentiment analysis was done on reviews to figure out their polarity and score them based on their extent of polarity. Also, a classifier was built using naive bayes to classify reviews as positive or negatives. For determining relation between reviews and making a sense out of it word2vec was used on all reviews. Tools and Techniques: •Python: standard NLP packages, NLTK, Stanford Core NLP, Numpy •Gensim: word2Vec model, Glove from Stanford. •Mallet, Classifiers, Sentiment analysis
Query based Recommendation System
3300429
My client wanted to figure out whether any action has taken place on the given 'Phrase'. I designed and implemented an algorithm that extracts information from a document pertaining to a given Phrase-Action pair. The algorithm determines if there is any relation between Phrase and Action emulating basic English grammar rules. Stanford Dependency parsers are used to tokenize the statements and a set of CFG were written to figure out if the Action is acting on the Phrase in question. Also, sentiment analysis of each report/journal was done.
Text Mining Healthcare Reports/Journals
3300440
Reviews from Flipkart/Amazon, tweets from Twitter and articles/posts from Google news were extracted and processed(cleansing, stop words,punctuation). Sentiment analysis was carried out using polarity of reviews/tweets and algorithms like TFIDF. Word Clouds and Polarity charts were created to visualize the Social media response for the product launch.
Sentiment Analysis for iPhone6 launch
3300434
The recommendation engine responds to unstructured queries like ‘best pizza place in Hyderabad’ or ‘best dish at Paradise’. The response is in the form of a definite recommendation (high information content in question) or a ranked list of options (questions with low information content). Sentiment analysis was done on reviews to figure out their polarity and score them based on their extent of polarity. Also, a classifier was built using naive bayes to classify reviews as positive or negatives. For determining relation between reviews and making a sense out of it word2vec was used on all reviews. Tools and Techniques: •Python: standard NLP packages, NLTK, Stanford Core NLP, Numpy •Gensim: word2Vec model, Glove from Stanford. •Mallet, Classifiers, Sentiment analysis
Query based Recommendation System
3300429
My client wanted to figure out whether any action has taken place on the given 'Phrase'. I designed and implemented an algorithm that extracts information from a document pertaining to a given Phrase-Action pair. The algorithm determines if there is any relation between Phrase and Action emulating basic English grammar rules. Stanford Dependency parsers are used to tokenize the statements and a set of CFG were written to figure out if the Action is acting on the Phrase in question. Also, sentiment analysis of each report/journal was done.
Text Mining Healthcare Reports/Journals

Kaguzi

Mabadiliko yamehifadhiwa
Hakuna maoni ya kuona hapa!

Uzoefu

Senior Software Engineer

Tieto India Ltd
Jul 2015 - Sep 2016 (1 year, 2 months)
Overall responsibilities of Analytics project and PoC in Energy Components project. •Developed statistical model for predicting equipment failures in oil facilities. •Designed and developed an integrated Forecast Manager screen. •Feature improvements for a leading Hydro Carbon Accounting product called 'Energy Components'. •Responsible for training and development on technical skills & Agile methodologies to team

Database Developer/Administrator

TSYS Software Ltd
Mei 2013 - Mei 2014 (1 year)
•Overall responsibilities of Analytics project and PoC in Energy Components project. •Developed statistical model for predicting equipment failures in oil facilities. •Designed and developed an integrated Forecast Manager screen. •Feature improvements for a leading Hydro Carbon Accounting product called 'Energy Components'. •Responsible for training and development on technical skills & Agile methodologies to team

Technical Associate

Tech Mahindra Ltd
Ago 2010 - Mei 2013 (2 years, 9 months)
•Key role in design and implementation of the Product Catalogue features for TransIT. •SQL query optimization and performance test for reporting queries. •Credit card transaction’s data analysis for business insights. •Development of VISA checkout feature for TransIT. •Creation/Modification of procedures, packages, triggers and other PL/SQL blocks. •Carrying out light DBA activities on various Databases & Environments.

Elimu

Business Analytics

Indian School of Business, India 2016 - 2017
(1 year)

Bachelor in Engineering

Nagpur University, India 2006 - 2010
(4 years)

Wasiliana na Manish V. kuhusu kazi yako

Ingia ili kujadili maelezo yoyote kwenye gumzo.

Udhibitisho

Wafanyakazi Huru Wanaopendelewa
Amedhibitishwa Kiutambulisho
Amedhibitishwa Kimalipo
Amedhibitishwa Kisimu
Amedhibitishwa Kibarua pepe
Facebook Imeunganishwa

Ujuzi wa Juu

Data Processing
Excel
Powerpoint
Statistics
Word

Angalia Wafanyakazi Huru sawia:

Data Processing Executives in United Kingdom
Data Processing Executives
Excel Experts
PowerPoint Designers

Pitia Onyesho Sawia

Data Processing
Excel
Powerpoint
Statistics
Mtumiaji wa zamani Mtumiaji Mwingine
Mwaliko umetumwa kwa mafanikio
Asante! Tumekutumia kiungo cha kudai mkopo wako bila malipo kwa barua pepe.
Hitilafu fulani imetokea wakati wa kutuma barua pepe yako. Tafadhali jaribu tena.
Logo ya Freelancer Kenya / Kiswahili Huduma na Usaidizi Mfanyakazi Huru Kategoria Miradi Mashindano Wafanyakazi Huru Enterprise Uanachama Mpango wa Mfanyakazi Huru Anayependelewa Usimamizi wa Mradi Kazi Mtaani Photo Anywhere Maonyesho API ya Wasanidi Programu Thibitishwa Programu ya Kompyuta Kuhusu Kutuhusu Inavyofanya Kazi Usalama Mwekezaji Ramani ya tovuti Hadithi Habari Timu Tuzo Matoleo kwa Vyombo vya Habari Kazi Sheria Sera ya Faragha Sheria na Masharti Sera ya Hakimiliki Kanuni ya Maadili Malipo na Ada WashirikaEscrow.comLoadshiftWarrior Forum VitufeNembo ya Programu ya Duka la AppleLogo ya Google Play
Imeshindwa kunakili kwenye ubao wa kunakili, tafadhali jaribu tena baada ya kurekebisha ruhusa zako.
Imenakiliwa kwenye ubao wa kunakili.
Watumiaji Waliosajiliwa Jumla ya Kazi Zilizochapishwa
Freelancer ® is a registered Trademark of Freelancer Technology Pty Limited (ACN 142 189 759)
Copyright © 2024 Freelancer Technology Pty Limited (ACN 142 189 759)
Onyesho la kukagua linapakia
Ruhusa imetolewa kwa Uwekaji wa Kijiografia.
Muda wako wa kuingia umeisha na umetoka nje. Tafadhali ingia tena.