Highlights:

Skills:Data Analysis, SQL, Python, Spark, Machine Learning, AWS, Business Intelligence, MS Office, Hypothesis Testing

Business Analyst 12/2023 - current
Amazon, Hyderabad, Telengana India
Industry: IT
Business Analyst with over 2 years of experience in risk and compliance management, anti-money laundering, data analysis, and machine learning, delivering $13.6M in total savings through KYC/AML risk prevention and fraud detection initiatives.
• Product owner for Canada marketplace and member of 1st Line of Defence Team (1-LOD): deployed ETL-based rules for transaction monitoring and KYC/AML risk prevention, saving $6.7M CAD by managing 7,000+ seller accounts in the Canada marketplace. • Performed statistical analysis testing to validate risk models, improving model precision by 12% and reducing false positives in by 10%. • Automated dashboard generation, using Agentic AI, for KPI tracking and Monthly Business Reviews - saving 100+ hours of manual dashboard creation and increasing efficiency by 30%. • Created three Machine Learning models for rule enhancement, saving 200+ hours of manual investigation: - Weighted logistic regression Sensitivity model by combining weights, improving risk probability assessment for fraud detection by 15%. - CART decision tree model with a depth of up to 20, enabling analysis of the best features for rule optimization, enhancing the true positive rate by 25%. - Regressor-based model for below-the-line testing, reducing false positives in risk detection by 10%. • Led cross-functional projects, utilizing SQL & data analysis: - Identified non-delivered fraud patterns, achieving a 3% reduction and $4.2M in revenue. - Investigated low-value item abuse schemes in the US marketplace, leading to $1.3M in recovered revenue. - Uncovered high-value fraud via IP patterns in the UK marketplace, saving $1.6M.--
SPS Associate Mentor 04/2021 - 12/2023
Amazon, Kolkata, West Bengal India
Industry: IT
Skilled in leveraging ML, SQL, Python, and AWS-based tools to extract insights, optimize processes with a 30% efficiency increase via Agentic AI-driven automation, and mitigate risks. Experienced in building data visualization dashboards that improved decision-making by 30% and implementing process automation strategies that eliminated 300+ hours of manual work—driving strategic decisions in high-pressure, fast-paced environments.
• Performed risk monitoring and data analysis on seller accounts, reducing quality defects by 120 points by Q3 2023. • Implemented Six Sigma Kaizens with Hypothesis Testing: - Reduced non-compliant product listings by 80 points. - Improved contact handling time by 32 points via a multi-check mechanism. • Updated SOPs via JIRA, reducing risky account creation by 300 points and fraud defects by 70 points.--

University of Engineering and Management, Kolkata 08/2015 - 05/2019
Kolkata, West Bengal, India
Degree: Bachelor's Degree
Major:Civil Engineering
Bronze Medallist, 3rd in class, with 8.66/10 GPA.

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