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Data Analyst with 1+ years in SQL, Power BI & ETL Automation
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Data Analyst with 1+ years of professional experience at TCS, specializing in SQL based analysis of large-scale transactional datasets (100M+ records), Power BI dashboard development, and ETL automation in core banking environments. Proven ability to surface actionable insights including identifying an 18% archival data growth trend that informed capacity planning. Proficient in Python, Oracle 19c, and ad-hoc stakeholder reporting.
Mumbai University
B.E. · Computer Science & Engineering (Data Science)
N/A – June 30, 2024
Tata Consultancy Services (TCS)
Data Analyst (Assistant System Engineer)
April 1, 2025 – Present
India
Prodigy Infotech Pvt. Ltd.
Data Science Intern
January 1, 2024 – December 31, 2024
India
Banking Transaction & System Monitoring Analytics
June 17, 2026 – Present
Designed & developed a simulated core banking database (100K+ records) using Python, data modeling & analysis. Generated synthetic data using Python to model channel usage, peak loads, and failure scenarios. Developed complex SQL queries (CTEs, window functions) for data extraction, transformation, and analysis. Created Power BI dashboards to track transaction trends, channel performance, and replication lag. Identified peak load (~20K/hour) and lag spikes (>40 sec) indicating system bottlenecks.
View ProjectCultural Fit Analysis
The candidate's experience in a large organization like TCS and a personal project involving a simulated banking database indicates an interest in structured environments and complex data challenges. The blend of academic background in Data Science and practical application in banking analytics suggests a good fit for roles requiring both theoretical knowledge and real-world problem-solving. The project diversity, though limited to banking, shows depth in a critical industry.
Soft Skills & Operational Fit
The candidate's experience in automating reporting and identifying system bottlenecks suggests a proactive approach to problem-solving and efficiency. The ability to translate complex data into actionable insights for capacity planning indicates strong analytical and business acumen. The project work on banking transaction analytics further highlights an understanding of critical operational data.