Building in AI x Life sciences

Deep Learning | Algorithms

• Individually responsible for ML and Deep Learning models for efficiency and automation• Planned, built, and deployed a two-stage model for Optical Character Recognition to automate digitizing receipts

• Responsible for building Machine Learning capabilities on AWS systems to identify opportunities to maximize revenue and automate tasks• Developing scanned document naming algorithm employing Optical Character Recognition (OCR) and text classification

• Visualized customer journey using Sankey diagram to capture behavior from pathways using digital kiosks data• Derived kiosk utilization performance metrics for evaluating and improving the effectiveness of on-screen advertisements• Implemented Forecasting models to generate maintenance alarm by comparing actual vs expected kiosks utilization• Developed Poisson Regression model to identify the number of kiosks required for a mall

Taught 6 courses for 100+ HoursBusiness Analytics | Python Programming | Analyzing Unstructured DataPredictive Analytics | Computing for Analytics | Data Mining

• Built Linear Mixed Effect Market Mix Model to analyze drivers of sales to evaluate and predict ROI of media vehicles• Designed and developed media ROI Simulator based on response curves derived from the MMM models for short term returns and long-term equity estimation – scaled it to 40 brands across 10 countries• Ideated and headed the development of deck automation data pipeline using Python; saved 350+ man-hours• Ran marketing spend optimization scenarios for estimating optimal media mix to maximize Net Revenue • Derived and presented key insights focused on campaign effectiveness and market spend re-allocation, to Media managers and Zone Vice Presidents in Asia Pacific Zone