ANNA SEN

Experienced data scientist with graduate-level academic training in econometrics, seeks a senior data scientist opportunity to collaborate with business stakeholders and generate actionable insights using data and machine learning. Excited to resume a career in machine learning after a hiatus for family reasons, particularly during a time when the field is increasingly vital for informed business decision-making.

US Citizen

• Built ML media mix optimization models (MMO) to shape the overall retail media strategy for MarketShare's consulting business
• Built ML predictive models for Charles Schwab's direct mail campaigns by identifying clients who are most likely to generate business. The direct mail campaigns generated statistically significant 'lift' in client response.
• Built ML predictive models for alert-response optimization. The alert-response optimization generates greater efficiency for Charles Schwab's sales team.
• Built ML time-series forecasting models to guide the overall retail corporate planning at Charles Schwab.
• Conducted statistical evaluation of business programs. These are customer response analyses for testing the business impact of product launches/strategy. These analyses are used to determine the continuity of business programs at Charles Schwab.
• Built client segmentation models using ML clustering techniques. These models determine the signal from the noise in client behavior, and generated actionable insights to help design business strategy at Charles Schwab.

Currently pursuing Post Graduate Program for ML and AI from University of Texas, Austin