Innovative Decision Scientist experienced in using data-driven solutions to drive strategic business decisions and improve operational efficiency. Proven track record of effectively communicating complex findings. Successfully enhanced decision-making processes, business performance, and profitability.
Client - Google (GPay App) - Product Analytics
Tools Used: SQL, Plx Dashboard, Plx Trix, Looker Studio, Python
1. Enhanced business growth for Credit Card and Personal Loan services by analyzing and optimizing the user flow funnel journey.
2. Cleaned and manipulated raw data, identifying patterns through exploratory data analysis using Python.
3. Created effective dashboards for tracking application funnel metrics and financial risk within GPay's financial services.
4. Conducted ad-hoc and deep dive analyses for multiple verticals, including Cost of Rejection, Risk Assessment, User Segmentation, Spending Patterns, and New Lender Application Flow Debugging.
5. Analyzed the impact of A/B testing on the user application flow journey.
6. Developed efficient one-stop tracking tools to monitor and estimate metrics for financial products, resulting in a significant reduction of tracking time for xfns.
1. Collaborated with various departments to establish and monitor key performance indicators (KPIs) using innovative and interactive methods, delivering real-time statistical insights to senior leadership.
2. Led end-to-end supply chain management and vendor development programs for pharmaceutical and capital products.
3. Developed strategic sourcing initiatives to drive down costs and enhance process efficiency.