Trisha Ghosh – Associate Data Scientist

About Me

Designed and implemented customer segmentation frameworks (VAP, RFM, K-Means clustering) to identify high-value cohorts, improving campaign targeting precision and audience relevance. Built and deployed ML models (Logist…

Experience

Associate Data Scientist

Epsilon, Bengaluru, India · Bengaluru , Karnataka , India

Aug 2024 - Apr 2026 · 1 year 8 months

Developed and operationalized customer segmentation frameworks using VAP and RFM, enhanced with K-Means clustering, improving targeting effectiveness by 15–20% across multiple campaign cohorts. Built and deployed predictive models (Logistic Regression, Random Forest) for customer conversion and engagement, delivering 10–15% uplift in campaign ROI compared to baseline targeting approaches. Designed and executed A/B experiments with statistical validation and causal analysis, increasing engagement rates by 8–12% across targeted segments. Engineered and optimized data pipelines using SQL, SAS, and Databricks to process large-scale datasets (millions of records), improving processing efficiency by 25%+. Led end-to-end ML workflows, including feature engineering, model training, cross-validation, and performance evaluation (AUC, precision-recall). Worked closely with cross-functional stakeholders to translate complex business requirements into scalable data science solutions, enabling informed decision-making and measurable business impact.

Skills

Python SQL SAS A/B Testing Hypothesis Testing Customer Segmentation RFM Forecasting Logistic Regression Random Forest K-Means Regression Gradient Boosting Pandas NumPy Scikit-learn Databricks Tableau Power BI AWS S3 EC2 AUC Precision-Recall Cross-Validation IBM-Cognos Analytics

Education

Vellore Institute of Technology

Chartered Financial Analyst — Technology

Completion Year - 2024