Open to opportunities

Nisha Roy

@nisharoy

Data Scientist specializing in financial fraud detection and risk management, turning transaction signals into compliant action.

India

Message

What I'm looking for

I’m looking for a team that prioritizes compliance and results, where I can use transaction monitoring, fraud/risk analytics, and real-time decisioning to reduce losses, improve accuracy, and collaborate to adapt quickly to emerging fraud patterns.

I’m a results-driven Data Scientist focused on transaction monitoring and compliance, with 4+ years of expertise in data analysis and risk management. I analyze transaction data to identify suspicious activities and compliance risks across e-commerce and fintech payment channels (promotion abuse, payment fraud, synthetic identity, ATO) for a dedicated large-scale Swiss payments client.

I build and maintain fraud rulesets and real-time fraud decisioning frameworks (Allow / Step-up / Block), investigate distributed fraud attacks with root-cause analyses, and deploy remediations to reduce loss and improve decision quality. I leverage SQL, Python (Pandas, scikit-learn), PySpark, and AI tooling (OpenAI, Claude) to drive insights and produce Power BI & Tableau dashboards, and I strongly value collaboration, documentation, and continuous process improvement—whether through A/B testing precision/recall evaluation or scalable ETL and forecasting work.

Experience

Work history, roles, and key accomplishments

Transaction Monitoring Analyst

TAD International Business Services

Jan 2024 - May 2026 (2 years 4 months)

Analyzed transaction data to identify suspicious activity and compliance risks across e-commerce and fintech payment channels, conducting complex investigations for a large Swiss payments client over 2+ years. Built fraud rulesets and real-time decisioning (Allow/Step-up/Block), reducing false positives by 20% via A/B testing and optimizing remediations for distributed fraud attacks.

Data Analyst, R&D

Swell Well Minchem Private Limited

Jun 2023 - Dec 2023 (6 months)

Developed SQL/Python and NLP analytics to uncover root causes, maintained Tableau and Google Analytics dashboards, and drove a 30% increase in export sales plus 20% improvement in customer sentiment. Built scalable ETL workflows and forecasting models (ARIMA, Random Forest, regression) to enable data-driven process improvements.

SQL Python NLP Tableau Google Analytics ETL Processes KPI Tracking Root Cause Analysis

Financial Analyst Intern

Deloitte Touche Tohmatsu LLP

Jul 2022 - Sep 2022 (2 months)

Investigated potential market manipulation by analyzing capital market and post-trade transaction data with ML models (ARIMA, Decision Trees, Random Forest, classification) and prepared executive summaries for management and regulatory review. Published ML research at National Conference '22 and communicated investigation outcomes to non-specialist audiences.