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Senior Data Analysis with 5+ years in banking & finance, proficient in SQL, Python & Power BI.
Analytical Data Professional with 5 years of comprehensive experience in the banking and finance sector. Expert at bridging the gap between operational workflows and technical data solutions. Proficient in SQL, Python, Power BI, and Excel, with a proven ability to manage high-volume datasets, conduct deep exploratory data analysis (EDA), and build interactive dashboards. Leverages deep domain knowledge in mortgage and merchant services to translate complex financial data into actionable intelligence that drives strategic decision-making and process optimization.
University of Madras
Master of Commerce
N/A – Present
A.M. Jain College
Bachelor of Commerce
N/A – Present
Tata Consultancy Service
Senior Analyst – Managed Merchant Accounts
October 1, 2022 – July 1, 2025
India
Accenture Private Ltd
Direct Delivery to Client - Banking Operation Associated
October 1, 2019 – September 1, 2022
India
Price Analysis and Prediction of Second-Hand Cars
June 30, 2026 – Present
Engineered robust data preprocessing pipelines using Python to clean large-scale datasets, enabling the accurate identification of key variables affecting resale vehicle valuations. Performed comprehensive statistical analysis on critical market drivers, including vehicle age, fuel type, mileage, and ownership history, to quantify their impact on depreciation. Architected a dynamic Power BI dashboard to visualize depreciation trends and shifting customer preferences, centralizing complex market data into an intuitive interface. Derived strategic business insights that informed optimized pricing strategies and strengthened overall market analysis capabilities.
View ProjectSnitch Fashion Sales
June 30, 2026 – Present
Spearheaded end-to-end data cleansing using Excel and Power BI to transform raw sales records into high-quality datasets for deeper analysis. Identified high-growth product categories by analyzing historical performance metrics, providing actionable insights that supported strategic revenue-driving initiatives. Developed interactive Power BI dashboards to visualize monthly sales performance, enabling stakeholders to monitor key performance indicators (KPIs) in real-time. Uncovered seasonal demand volatility through statistical analysis, which directly optimized inventory planning decisions and improved supply chain responsiveness.
View ProjectAI Driven Data Analytics - Illinois Tech
Illinois Tech
October 1, 2025 – February 1, 2026
AI Driven Data Analytics - Entri Elevate
Entri Elevate
October 1, 2025 – February 1, 2026
Cultural Fit Analysis
The candidate's project diversity, focusing on sales and pricing, aligns well with typical data analysis challenges. The experience in banking operations, while not directly data analysis, shows exposure to large organizational structures and financial data, which could be a good fit for companies in the FinTech or banking sector. However, the lack of collaborative project descriptions or team-based achievements makes it difficult to fully assess cultural fit beyond individual contributions.
Soft Skills & Operational Fit
The candidate highlights strong communication, problem-solving, and time management skills. Project descriptions indicate an ability to work end-to-end on data initiatives, from cleansing to visualization and insight generation. The banking operations experience suggests familiarity with structured environments and process adherence, which is beneficial for operational fit.