Manish V. Profile

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$20 USD / ώρα

newcastle upon tyne,

united kingdom

$20 USD / ώρα

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Έγινε μέλος Οκτωβρίου 27, 2016

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Manish V.

@manishkvaidya

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(0 αξιολογήσεις)

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$20 USD / ώρα

newcastle upon tyne,

united kingdom

$20 USD / ώρα

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Ολοκληρωμένες Δουλειές

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Εντός Προϋπολογισμού

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Εντός Χρόνου

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Βαθμός Επανάληψης Πρόσληψης

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

Προβολή όλων Data Processing Executives σε United Kingdom

Επικοινώνησε με τον/την Manish V. για τη δουλειά σου

Συνδέσου για να συζητήσεις τις λεπτομέρειες μέσω τις συνομιλίας.

Πορτφόλιο

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

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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

3300440

Sentiment Analysis for iPhone6 launch

3300434

Query based Recommendation System

Text Mining Healthcare Reports/Journals

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Εμπειρία

Tieto India Ltd

Ιουλ 2015 - Σεπ 2016 (1 χρόνο, 2 μήνες)

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

Μαΐ 2013 - Μαΐ 2014 (1 χρόνο)

•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

Αυγ 2010 - Μαΐ 2013 (2 χρόνια, 9 μήνες)

•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.