Closely working with Business and their requirements. - Extraction of relevant Phrases from Chats & Calls from Customers. - Summarization(Extractive & Abstractive. - Intent Classification - Building Phrase classification Model- Closely working with Business and their requirements. - Extraction of relevant Phrases from Chats & Calls from Customers. - Summarization(Extractive & Abstractive. - Intent Classification - Building Phrase Classification Model Skills: Natural Language Processing (NLP) · Python (Programming Language) · Machine Learning

• Lucy: Worked on building and enhancing the performance of cognitive companion for marketers, i.e. LUCY. Tech Stack: Python, Machine Learning, Java, ElasticSearch, NLP ,NLU, Word2Vec, Sentiment Analysis, Message Resonance, IBM Watson Services, CouchDB, Deep Learning, TensorFlow, Keras • Lucy Research: Implemented service using NLP to extract features from asked Question. Implemented service using ElasticSearch and IBM Watson Discovery to analyze the data and to get answers for the question. Text Mining. Structured/Unstructured Data. • Lucy Media Plan: Implemented Machine Learning models to predict future profits and trade-off models (cost cutting information using Pareto Analysis). Predictive Modeling. Supervise/Unsupervised Learning. • Lucy Message Resonance and Personality Insights: Implemented Message Resonance where module would give tagline suggestions and the analysis of brands among audiences. Used Word2Vec model to find best alternative synonyms to suggest changes for the original tagline which would get liked by users.

• WittyParrot: In house product, WittyParrot, is a Cloud-based content delivery platform that helps companies to speak with one voice. Tech Stack: Python, Machine Learning, Information Retrieval, ElasticSearch, Java, Neo4J (Graph DB), NLP. • Feedback Learning and Search: To learn user behavior on search result and apply learning mechanism(Machine Learning and Feature Importance) to provide better personalised search experience to User based on historic preferences and for search recommendation. • User Reports and Analytics: Implemented a module which shows the User-Analytics and activities at the Enterprise level/ individual level with downloadable feature. • Recommendation Engine: Implemented the module would collect User Activity data from various sources and then form a Vector describing the User's affinity towards certain activities.

Worked on SMS platform (WhizSMS) for sending sms to multiple(millions) customers(single/multiple messages) in less amount of time.

Devising strategies for projects on priorities of jobs as per the schedule.  Coordinating with the team members, developing the progress reports and delivering the assigned projects to the clients.  Consulting with the customer and team for preparing agenda & finalising their designs and deliverables.

Devising strategies for projects on priorities of jobs as per the schedule.

Master of Technology, Information and Communication Technology

IIT Roorkee, Data Science