Hritika Bhavsar

·Modeled 7+ KPIs to monitor forest health using statistical modeling and analysis on Google Earth Engine data, facilitating future sustainability and conservation planning · Built 10+ visualizations to track time series changes in the metrics using Matplotlib and plotly, generating risk alerts and quality degradation insights

· Conducted research on network segmentation strategies within cybersecurity, synthesizing findings into best-practice guidelines that supported implementation in simulated organizational environments.

· Built linear regression model to measure Customer Lifetime Value using pandas and numpy, providing customer purchase behavior insights · Increased Customer Lifetime Value by 12% by analyzing Online Transaction data using SQL, informing investment allocation strategies · Built retention rate dashboard in Tableau to monitor site performance, improving site visits and retention

· Achieved $19K incremental revenue by building financial planning framework using Excel and Python, enabling optimal spend allocation across regions · Improved Campaign ROI by 7% by developing Forecasting and optimization models using scikit-llearn and pandas, guiding future investment and allocation decisions · Achieved $1.2M incremental revenue by conducting market research, competitor analyses and A/B Test on sponsorship events, identifying revenue drivers and uplift patterns

· Utilized Binary Neural Networks(BNN) to optimize the accuracy of the model, resulting in a 10% increase in overall performance metrics.

· Led process optimization for imagery forecasting, reducing data processing turnaround time by 75% while ensuring consistent and accurate data tracking.