Experience
Business Analytics Associate
UBS | Jan 2024 -- Present
• Analyzed high-volume transactional datasets using SQL and Python to support monetization, revenue assurance, and risk-related decisions across payment systems.
• Developed and maintained fraud and anomaly detection analytics, reducing duplicate and high-risk transactions by 50% and improving system reliability.
• Performed exploratory data analysis to identify behavioral patterns impacting transaction success rates and key business KPIs.
• Designed, built, and maintained executive dashboards in Power BI and Tableau to track operational performance, trends, and exceptions for senior stakeholders.
• Partnered closely with product, engineering, and business teams to scope analytical problems, define metrics, and deliver data-backed recommendations.
Analytics Engineer – Payments System
Credit Suisse | Nov 2021 -- Dec 2023
• Supported analytics across the end-to-end payments lifecycle, enabling improved throughput, stability, and accuracy of revenue reporting.
• Designed and implemented a risk-scoring vendor compliance framework, reducing manual review time by 40% while maintaining regulatory standards.
• Optimized, and maintained complex SQL pipelines on large datasets, reducing processing latency by 30% and improving data availability.
• Conducted root-cause analysis to identify operational bottlenecks impacting payment success and downstream revenue.
• Led Agile sprints, performed code reviews, and mentored junior team members on analytics best practices.
Skills
Python, Pandas, NumPy
Power BI, Tableau, Looker
SQL, Excel, MySQL, Oracle ERP
Data Analysis, EDA, A/B Testing
Cloud Computing, ML, PySpark
Product Analytics, Statistics & Modeling
Agile, Jira, Git, Confluence
Payments & FinTech Domain Knowledge
Revenue & Fraud Analytics
ETL, Automation
Collaboration & Mentorship
Stakeholder Management