Manish V. Profile

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$20 USD / hora

newcastle upon tyne,

united kingdom

$20 USD / hora

Aquí son las 12:52 p. m.

Se unió el octubre 27, 2016

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Manish V.

@manishkvaidya

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(0 comentarios)

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$20 USD / hora

newcastle upon tyne,

united kingdom

$20 USD / hora

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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

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Portafolio

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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

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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

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

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Sentiment Analysis for iPhone6 launch

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Query based Recommendation System

Text Mining Healthcare Reports/Journals

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Experiencia

Tieto India Ltd

jul 2015 - sept 2016 (1 año, 2 meses)

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

TSYS Software Ltd

may 2013 - may 2014 (1 año)

•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

Tech Mahindra Ltd

ago 2010 - may 2013 (2 años, 9 meses)

•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.