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Data Analyst with 1+ years in SQL, Python & Data Visualization
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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
Bachelor of Engineering · Information Technology
April 1, 2020 – April 1, 2024
CRIF
Data Analyst / Oracle Database Developer
February 1, 2025 – Present
Pune, Maharashtra, India
LTC - Data Deduplication & Entity Linkage Analysis
June 18, 2026 – Present
• 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.
SHERLOCK – Fraud Detection Analysis Engine
June 18, 2026 – Present
• 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.
Python Programming - Pandas, NumPy, Data Analysis
Unknown
June 1, 2026 – Present
Cyber Security & Data Awareness Training
Unknown
June 1, 2026 – Present
Google Data Analytics
June 1, 2026 – Present
SQL & Database Management
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project experience in fraud detection and data deduplication, particularly within financial systems, aligns well with roles requiring high data integrity and analytical rigor. Their certifications in Google Data Analytics, SQL, and Python show a commitment to continuous learning and skill development. The breadth of skills across data analysis, visualization, and automation suggests adaptability and a proactive approach to problem-solving.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, attention to detail, and cross-functional collaboration skills, which are essential for a Data Analyst role. Their experience in leading technical aspects for regulatory audits and presenting findings to stakeholders indicates good operational fit and responsibility.