August 2019 - September 2021

Toulouse, France

Université Toulouse Capitole

Masters in Econometrics & Statistics

• Graduated with Highest Distinction (16/20, Summa Cum Laude).

• Earned the prestigious Eiffel Excellence Scholarship (2020) and Charpak AME Scholarship (2019).

• Served as an elected Student Representative to improve curriculum and student welfare.

Coursework:

Intermediate Econometrics,
Game Theory, Industrial Organization, Spatial Econometrics, Marketing Analytics

Jadavpur University

Bachelors of Arts in Economics

July 2016 - July 2019

Kolkata, India

• Graduated with Highest Distinction (9.53/10 CGPA, Summa Cum Laude), ranking in the top 1% of graduating class.

• Led academic initiatives as Student Representative, organizing impactful seminars and workshops to enhance peer learning.

Macroeconomics, Microeconomics, Environmental Economics, Trade and International Relations, Public Economics

Data Science Associate

Université Toulouse Capitole

• Reduced manual data collection from 2 months to 4 days (by 96%) by building automated Python workflows with SQL-based data extraction (complex joins across 5+ tables, window functions for time-series analysis) and validation checks across 500+ financial variables from 1,200+ companies, increasing research output by 5x while maintaining 99%+ data accuracy

• Secured C200K in follow-on research funding by converting qualitative political research into quantitative insights through interactive Tableau dashboards mapping real-time search behavior and consumption patterns across 18 regions in France

• Led research initiatives for the book “France According to Google Searches”, analyzing online search behaviors linked to consumption, politics, and societal trends, and designed interactive performance dashboards to track voter behavior

• Analyzed technology adoption patterns across 10K+ global desalination facilities (1950-2015) using difference-in-differences methodology to quantify public vs. private sector sustainability trade-offs across 150+ countries, contributing geospatial analysis and data infrastructure to research published in Academy of Management Proceedings 2024

Summer Intern

Led a study analyzing investor reactions to the death of musicians by examining abnormal stock returns of record companies holding the rights to their music catalogues and exploring factors influencing investor expectations

April 2020 - December 2022

Fontainebleau, France

Data Scientist (Consultant)

• Led experimentation and impact analysis across 1,170+ user households to optimize intervention programs, conducting A/B tests using difference-in-differences methodology to measure key engagement metrics (OECs) including adoption lift (+20% consumption growth), behavioral change (+35% credit access), and user retention. Communicated insights to senior cross-functional stakeholders (World Bank, WFP, Government of Rwanda) to inform product strategy and investment decisions.Analyzed intervention impacts and synthesized findings in reports for stakeholders

• Built and maintained 12+ automated BI dashboards tracking customer lifecycle metrics and cohort performance across five markets, translating complex user behavior analysis into executive-ready insights presented in 20+ leadership briefings that directly informed product roadmap prioritization and resource allocation.

• Analyzed transportation and market-access networks across 500+ rural villages to identify routing bottlenecks reducing market efficiency by 20–35%, revealing barriers affecting 50K+ households and informing a $5M infrastructure investment strategy

• Designed and deployed automated ETL pipelines on AWS processing 10K+ user records and 2M+ behavioral data points monthly in production, implementing data quality protocols and monitoring dashboards that reduced reporting lag by 75% and enabled self-service analytics for distributed teams, improving decision velocity across product, operations, and marketing stakeholders.

January 2023 - June 2025

Washington D.C., US

Graduate Student: MS Business Analytics

Advanced Machine Learning, Genarative AI, Optimization, Advanced Corporate Finance, Pricing and Demand Analytics, Unsupervised Learning, Investment Theory, Analytics for Unstructured Data

Coursework:

July 2025 - Present

Austin, US

Coursework:

Jan 2026 - Present

Austin, US

Machine Learning and AI Intern

• Developing agentic AI recommendation system for Cisco Secure Access that autonomously learns from cross-customer deployment patterns and adapts policy configurations in real-time, integrating LLM-based interpretation module using RAG and prompt engineering to translate natural language security requirements into technical configurations with minimal human intervention

• Designing customer segmentation framework using collaborative filtering and clustering algorithms to identify similar organizational profiles, enabling policy recommendations based on industry vertical, deployment size, usage patterns, and security posture