Anwesha Das
@anweshadas4
Senior data science analyst turning production risk signals into scalable ML solutions.
What I'm looking for
I’m a data science professional with 2.5+ years at American Express, where I work at the intersection of risk analytics, model implementation, and decision support. I diagnose production model gaps using segmented analysis, PSI monitoring, and data quality reporting to deliver timely corrective actions.
I build and operationalize machine learning and automated detection pipelines to improve capture on emerging fraud themes. From feature engineering and XGBoost/logistic regression to end-to-end pipeline delivery, I’ve improved model capture by 30% and contributed to projected annual revenue loss prevention of $20M+—while also supporting global decision workflows with a custom GPT for a 500+ member team.
I also strengthen risk processes through proactive frameworks and performance tracking, including revamped proactive limit increase logic and automated monthly/quarterly MIS decks for leadership benchmarking. I’ve partnered cross-functionally on a $155M+ international product launch and mentored team members to raise onboarding and execution quality.
Experience
Work history, roles, and key accomplishments
Diagnosed critical gaps in production model implementation using segmented analysis, economics, PSI monitoring, and data QC reports to deliver timely corrective solutions. Architected and deployed a custom GPT for a 500+ member Global Decision Science team and improved fraud capture using XGBoost and logistic regression-based detection pipelines.
Implemented a revamped Proactive Limit Increase framework for key international markets and improved limit increase strategies by globalizing system logic. Automated post-launch performance tracking and built monthly/quarterly MIS decks to benchmark actual earnings against forecasted PTI.
Led a $155M+ international product launch by collaborating with product, tech, and local risk teams to design limit assignment and limit increase strategies for Amex POT cards in Mexico. Built automated monthly and quarterly MIS decks and monitored the POT portfolio to deliver actionable insights to leadership.
Surveyor
The World Bank
Jan 2023 - Present (3 years 7 months)
Coordinated end-to-end placement processes by onboarding recruiters and supporting DCAC calls and internship fair coordination. Conducted phone surveys with 100+ beneficiaries and used SurveyCTO to document responses and support data quality checks.
Intern
Mecon Limited
Jan 2022 - Present (4 years 7 months)
Analyzed SIAM and CRISIL data on the Indian automotive sector and published a research report with strategic recommendations. Forecasted 10-year automotive steel intensity demand using a GPT end-use approach and CAGR methodology.
Education
Degrees, certifications, and relevant coursework
Delhi School of Economics, University of Delhi
Master of Arts, Economics
Grade: 7.59/10
Completed an M.A. in Economics at Delhi School of Economics, University of Delhi, graduating in 2023 with a grade of 7.59/10.
Delhi College of Arts and Commerce, University of Delhi
Bachelor of Arts, Economics
Grade: 9.08/10
Completed a B.A. (Hons) in Economics at Delhi College of Arts and Commerce, University of Delhi, graduating in 2021 with a grade of 9.08/10.
Delhi Public School, Ranchi
Class XII, Academics
Grade: 93.6%
Completed Class XII at Delhi Public School, Ranchi in 2018, scoring 93.6%.
Delhi Public School, Ranchi
Class X, Academics
Grade: 10/10
Completed Class X at Delhi Public School, Ranchi in 2016, scoring 10/10.
Availability
Location
Authorized to work in
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