Headline

Data Science | Commercial Pharma & Patients Analytics | Financial Risk Consulting | IITB | IISc | IIITB

About

Data Science leader with more than 10 years of experience in generating actionable insights and developing machine learning and deep learning models in Pharmaceutical Commercialization and Patient Analytics (Pharmaceutical domain) on structured as well as unstructured data (text, image and audio) & in development, validation and reporting activities of Market and Credit Risk Analytics (Financial Risk Domain) for international banks

Location

Mumbai

Work experience

Associate Director, Data Science at Axtria - Ingenious Insights, Nov 2023 - Present · 2 yrs 9 mos, Pune District, Maharashtra, India, • Leading & mentoring Data Scientists to execute ML, DL & Gen AI projects in pharma domain. • Enhanced and maintained the promotion recommendation engine for two blockbuster brands in US which is recommending personal promotions with insights and non-personal promotions with contents week on week basis to lift the NRx (new sales) and performing experiment on underlying DL models to improve performance and adding explainable AI to gain more trust and improve adaptability of sales force team. • Performed enhancements, deployments of market brands on product which computes omnichannel analytics for 100+ geographies and brands for giant pharma client to assess and track HCP engagement over a period • Lead Next Best Action (NBA) program measurement team for multiple geographies to measure lift in Rx to compute the impact of program in dollar value. • Developed Gen AI application to generate SQL query based on underlying Database as per user query using GPT4o model using Faiss library for efficient similarity vector search in LangChain framework with customized RAG approach on AWS on SQL DBs in Japan now enhancing and scaling for different data stores. • Developed Gen AI application with team having conversational capability to answer questions about stored documents or uploaded documents where we are experimenting on LLM & Embedding models available on AWS Bedrock, different RAG approaches like advanced and Modular RAG, Graph RAG; several vector search like Faiss, OpenSearch etc. and various frameworks like LangChain, Custom implementation across therapeutic areas in Germany. • Created PoV HCP segmentation & targeting, promotion engagement KPIs and Rx analytics metrics with voice input and output capabilities to train and prepare sales force team to have effective communication for doctor visit where we explored LLM models like Claude, GPT 4 turbo, Gemini and STT & TTS models / services like Azure AI speech,AWS Transcribe / Polly, Whisper etc. to make recommendations.

Data Scientist at Novartis, May 2020 - Nov 2023 · 3 yrs 7 mos, Hyderabad, Telangana, India, Part of Data Science and Digital team for pharma commercialisation and patient analytics Designed, developed and deployed promotion recommendation system for breast cancer drug to maximise TRx (Total prescriptions) by providing weekly personal and digital promotion channels like Call, Lunch & Learn, physical and virtual mails, samples, display etc. as a part of NGE Design Engine project using Dataiku and Databricks. Enhancing the current promotion recommendation system to improve performance and to achieve higher resource efficiency Worked on dashboard and reports for leadership to forecast demand supply gap and trend analysis for oncology brand Developed call monitoring framework and call scoring models for audio call between patient and agents to estimate performance of agent and evaluate patient experience. Developed disease progression models to target specific patients for better treatment Performed aspect based topic modeling on call notes and call recording to extract insights and improve patient experience for pharma brand Developed web scraping tool with NLP capabilities for Competitive Intelligence team for various American and European conferences Developed forecasting model for newly launched and matured pharma brands Worked on predictive models to predict whether the patient is going to be denied for pre-authorization apprival for specific drug treatment. Working on FRM benefits Analysis, so Field Agent can educate HCP office better. Worked promotion recommendation models for HCPs to enhance the prescriptions of particular pharma brand. Developing image to text and audio to text capabilities for automation purpose

Deputy Manager (Financial Risk Advisory) at Deloitte, Jul 2019 - May 2020 · 11 mos, Mumbai, Maharashtra, India, Development testing for Structured Product VaR model Performed Model Validation (AML, IRC, AIRB) for Swiss Bank Developed PoV and PoC Machine Learning Model Development / Validation of Climate change risk models for sales pitching purposes

Senior Consultant (FSRM) at EY, Oct 2018 - Jul 2019 · 10 mos, Mumbai, Maharashtra, India, Worked on building XOI model to quantify climate change risk for Swiss Bank using Bayesian Network methodology. Designed dashboard in Power BI for Enterprise Strategic Risk team Prepared Machine Learning Models for Personal Loans and Mortgage Loans portfolios Adhoc Scenario Analytics for CCR, Mortgage Risk and Market Risk using ML models

Consultant (FSRM) at EY, Sep 2017 - Sep 2018 · 1 yr 1 mo, Mumbai, Maharashtra, India, Consulted to Risk Methodologies team of German Bank. RNIV (Risk not in VaR)Deep Dive Parameter Calibration (Distressed Debt and Idiosyncratic Correlation for Bond and CDS for CCA and RCV ) Stress Period Calibration RNIV Materiality Assessment Economic Capital Models Hadoop prototyping for liquidity horizons

Analytics Specialist at CARE Risk Solutions Pvt. Ltd. (A subsidiary of CARE Ratings), Oct 2015 - Sep 2017 · 2 yrs, Mumbai Area, India, Part of Market Risk Product Implementation Involved in making product on Credit, Market and Operational Risk mathematically superior. Involved in Lifetime, PIT & TTC PD Modelling for IFRS 9 Wrote code in R to perform Historical,Monte-Carlo Simulation to calculate VaR

Education

Bachelor's degree, Aerospace Engineering, Indian Institute of Technology, Bombay

Master of Engineering (M.E.), Aerospace Engineering (Combustion), Indian Institute of Science (IISc)