Headline

Director of Product Management at HealthPlix Technologies Private Limited

Location

Bengaluru

AI stack

claude

ChatGPT

Work experience

Director of Product Management at HealthPlix, Apr 2024 - Present · 2 yrs 7 mos, Bengaluru, Karnataka, India

Senior Product Manager at HealthPlix, Jan 2023 - Mar 2024 · 1 yr 3 mos

Product Manager at HealthPlix, Jul 2021 - May 2023 · 1 yr 11 mos, Bengaluru, Karnataka, India

Technical Product Manager at HealthPlix, Dec 2019 - Jul 2021 · 1 y 7 mo, Bangalore

Assistant Manager at WNS - Research & Analytics (Marketics), May 2019 - Dec 2019 · 8 mos, Bangalore, Working as an Assistant Manager in Data Science as part of Research & Analytics Group. Client: Large SA based Retailer • Created a framework to identify & analyze unique customers and historical transactions • Performed Exploratory Data Analysis to identify different use cases based on triangulating the customers • Used a combination of design thinking methodologies and graph theory to develop a unique customer identifier system • Successfully attributed 2 Billion in revenue to VIP customer segment and provided improvement of 30% increase in trackable transactions

Aparentice Lead at Mu Sigma Inc., Jan 2019 - May 2019 · 5 mos, Bangaon, West Bengal, India, Pre-Sales & Solutions Support • Supported sales teams with POVs, Analytical Solutions and responses to RFPs and RFIs • Interacted with customers and internal stakeholders to identify & articulate the key problem areas, designed and presented the analytical solutions for problem statements

Decision Scientist at Mu Sigma Inc., Aug 2017 - Dec 2018 · 1 yr 5 mos, India, Worked as a Decision Scientist and Solution Architect for multiple customers across several Data Science and Analytics Projects. Client: Fortune 500 US based Automobile Manufacturer • Provided Recommendations to increase revenue; built a multinomial logistic regression model to understand the effect of price on the sale of wheels • Provided price increase recommendations which led to an impact of 4 Million USD in revenues • Built Apriori algorithms to identify the features which are sold together and provided recommendations to bundle them together • Provided Price elasticity scores for all aftermarket service parts; built clustering models to cluster all similar parts together, used the difference in price point in a cluster as a proxy to calculate price elasticity • Provided price change recommendation for 17 parts which would create a total impact of 4.5 Million USD • Supported building an end-to-end roadmap for identifying areas of improvement; identified Gaps and created detailed business process flow identifying the current process followed for any analytical decision • Created a classification model to identify a customer’s propensity towards an offer • Create insights for different segment of customers based on their behavior which advisors can leverage during the call

Trainee Decision Scientist at Mu Sigma Inc., Aug 2015 - Aug 2017 · 2 yrs 1 mo, India, Client: Fortune 500 US based Retailer: Pharma Business • Developed an Analytics & Insights platform to provide a holistic view of Rx re-imbursements and drug performance • Created a comprehensive view for Rx drug performance – market share, category performance, sales, profitability, discounts and rebates • Designed SAP HANA based data mart and handled the data ingestion, data transformations and data engineering workloads; optimized the SQL queries to reduce query run times • Built a Framework to calculate the True Cost of a drug; provided a heuristic solution to arrive at the true cost of the drug • Built a solution to Forecast sales of branded drugs post patent expiration; created a time-series model (ARIMA/ ARIMAX) to forecast the sales of the branded drug and its generic equivalent with 80% accuracy • Tools used: Alteryx, SAP HANA, Teradata, R

Education

Bachelor's Degree, Mechanical Engineering, MSRIT

10TH GRADE, Hill top School