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Data Analyst with 1+ years in SQL & Python
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Assessing your cultural and operational fit
Detail-oriented Data Analyst with hands-on experience in SQL, Python, and data pipeline development, working with datasets exceeding 4 billion records in production environments. Skilled in collecting, analyzing, and interpreting complex data to identify trends, patterns, and growth opportunities. Experienced in building analytical reports, automating data validation utilities, and supporting data-driven decision-making for enterprise financial systems. Strong analytical and problem-solving skills with a commitment to data accuracy and quality.
Sinhgad College of Engineering, Pune
Bachelor of Engineering · Information Technology
April 1, 2020 – April 1, 2024
CRIF
Data Analyst / Oracle Database Developer
February 1, 2025 – Present
Pune, Maharashtra, India
SHERLOCK – Fraud Detection Analysis Engine
February 1, 2025 – June 1, 2026
• Designed and maintained data pipelines analyzing 400+ crore (4+ billion) historical records to detect fraud anomalies and support business intelligence reporting. • Built Python-based automated reporting scripts that extracted fraud insights from Oracle DB and generated structured analytical reports for business stakeholders. • Served as technical lead for RBI regulatory audits; developed data validation utilities to ensure data accuracy and schema integrity across compliance datasets. • Optimized data retrieval procedures (Bulk Collect, FORALL) to reduce query execution time and meet strict analytical SLAs.
LTC - Data Deduplication & Entity Linkage Analysis
February 1, 2025 – June 1, 2026
• Designed the data orchestration and analysis layer for an enterprise-grade deduplication system, collecting, cleansing, matching, and clustering massive datasets across business units. • Developed a dual-phase automated batch pipeline for data ingestion, cleansing, and pattern matching - producing analytical outputs used for business decision-making. • Identified data quality issues and bottlenecks through deep analysis; resolved critical memory and performance problems to ensure accurate and timely reporting.
Google Data Analytics (Preferred by Polluxa JD)
June 1, 2026 – Present
SQL & Database Management
Unknown
June 1, 2026 – Present
Python Programming - Pandas, NumPy, Data Analysis
Unknown
June 1, 2026 – Present
Cyber Security & Data Awareness Training
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience in financial services (AML, fraud detection) and involvement in RBI regulatory audits suggests a good fit for roles requiring high attention to detail, compliance, and robust data governance. Their project diversity, including fraud detection and data deduplication, shows adaptability to different data challenges. The explicit mention of cross-functional collaboration indicates a team-oriented approach. The candidate's skills align well with a data-driven culture that values accuracy and actionable insights.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, attention to detail, and cross-functional collaboration skills through their project descriptions and professional experience. Their work on fraud detection and data deduplication systems highlights a commitment to data accuracy and problem-solving. The experience in RBI regulatory audits also indicates an understanding of compliance and operational rigor. The candidate's ability to present findings clearly to stakeholders suggests good communication skills for operational fit.