Head of Data Science, Vice President, Exp 14 Years in Data Science Worked in almost all areas of Machine learning, Deep Learning, NLP, Computer visions, Generative AI.
Overall responsibility on Data Science
1. Gen AI: 8 PoC & Enabling full organisation
2. Team: Setup BU from 1 digit to 3 digit
3. Data Science: Start to end responsibility
4. Delivery excellence (+- 5% variance)
5. Revenue management (+- 10% variance)
6. High performance team: Result oriented
Start to end ownership of Data Science projects, including Products and Captive solutions using NLP and Computer vision.
Built GenAI use cases including Custom NER.
Built GenAI use cases including Summarization of news.
Built GenAI use cases including Translation.
Built GenAI use cases including Regulatory impact.
Built GenAI use cases including News classification.
Built GenAI use cases including Chemical entity extraction.
Built GenAI use cases including Bill of Lading extraction.
Built GenAI use cases including Sentiment.
Built on public data.
Led a team of 50.
Worked on enterprise analytics solutions for a leading investment bank in USA.
Built the next generation NBA (Next Best Action) solution by transforming existing 6000 NBA algorithms to 600 across 73 teams.
Worked on enterprise analytics solution design and implementation for a leading credit card provider in USA.
Built analytics models for anomaly detection and prediction.
Built analytics models for segmentation of customers across geography.
Built analytics models for prediction of availability of applications.
Built analytics models for prediction of incoming requests.
Built analytics models for RCA of errors going beyond tolerance.
Built analytics models for sentiment of customer behavior.
Built analytics models for cross-sell and up-sell products.
Built analytics models for merchant/coupon analytics.
Built risk and fraud scoring for merchant.
Identified vendors and clients from social media data.
Mapped probable threats with all concern entities.
Built a live dashboard of word cloud.
Worked on fraud analytics for Income Tax (Govt of India) to identify frauds.
Built fraud score prediction models.
Built risk score models for taxpayers.
Built risk score models for various entities.
Built credit score models for each taxpayer.
Built prediction models for outcome of tax filing.
Performed sentiment analysis of taxpayers.
Performed text mining of call center records.
Built prediction models for tax collection for all categories.
Built prediction models for call center incoming calls.
Analyzed trend of refund/demand.
Worked on horizontal projects including analytics consultancy for a second largest bank.
Worked on ATM cash forecasting and maintenance forecasting for a 3rd largest ATM service provider.
Performed pattern discovery for a largest coupon aggregator in India.
Built prediction models for a largest cable operator in India for call center call volumes.
Completed RFP response for client Income Tax.
Built analytics solution for a life insurance client for cross-sell, up-sell, recommendation system and market basket analysis.
Built retail analytics solution for a largest garment retailer using RFM, Pareto and market basket analysis.
Built NLP search by typing of few texts for a retail giant in USA.
Performed A/B testing of campaign on total sales metric using statistics and EDA.
Led team sizes ranging from 7 to 18 across projects.
Worked in financial software solutions.
Held the designation of Project Manager, PMP.
Worked in IT industry.
Last designation was Project manager.
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