About
Detail-oriented Data Analyst with a B.Sc. in Mathematics and 2+ years of experience in data verification, reconciliation, and MIS reporting in the financial services sector. Skilled in SQL, Python (Pandas, NumPy), Power BI, and Advanced Excel for data cleaning, exploratory data analysis, and dashboard development. Experienced in identifying trends, discrepancies, and risk indicators across large datasets to support accurate, data-driven reporting. Seeking to apply strong analytical, reconciliation, and reporting skills to a Data Analyst, Junior Data Analyst, MIS Analyst, Reporting Analyst, or BI Analyst role.
Experience2
Audit Officer — Internal Audit
Jun 2025 — Oct 2025Satya Micro Capital Ltd
Audited and reconciled large transactional datasets cross-verifying loan disbursement and collection records. Analyzed overdue accounts, PAR, and NPA metrics to identify risk trends. Reconciled cash books, ledgers, and banking transactions for variance root-cause analysis. Prepared MIS reports and tracked corrective actions using Advanced Excel.
Audit Officer — Internal Audit
Aug 2023 — Jun 2025Fusion Finance Ltd
Conducted branch-level data audits validating compliance, loan files, and internal control registers. Maintained audit-observation records and applied tabular data analysis supporting risk mitigation. Partnered with operations to streamline verification workflows ensuring regulatory compliance.
Projects4
Employee Management System
Designed a normalized relational database schema to manage employee records, attendance, and performance data. Wrote SQL queries using joins, subqueries, and aggregation functions to analyze department-wise headcount and attendance trends. Implemented data-validation rules to reduce manual entry errors and improve data accuracy.
- SQL
- Python
- Relational Database Design
Customer Management System
Built a centralized relational database to organize customer demographics, purchase history, and interaction records. Wrote SQL queries to analyze customer purchase behavior and produced summary reporting tables for business decisions. Applied schema constraints and validation logic to eliminate duplicate records and ensure data consistency.
- SQL
- Python
- Data Modeling
Amazon Review Sentiment Analysis
Cleaned and preprocessed unstructured review data using tokenization, lowercasing, and stop-word removal. Built an NLP classification workflow to categorize customer feedback as positive, negative, or neutral. Visualized sentiment distribution and rating trends to surface customer satisfaction insights.
- Python
- Pandas
- NLP
- Matplotlib
Drowsiness & Face Detection System
Built computer-vision models to process video-frame data using thresholding and feature-extraction techniques. Evaluated model performance using accuracy, precision, and recall to improve detection reliability.
- Python
- OpenCV
- Machine Learning
Education4
B.Sc.
2019 — 2019B.R.A. Bihar University, Muzaffarpur
Mathematics
Diploma
2022 — 2022Nettur Technical Training Foundation (NTTF), Chennai
Manufacturing Technology
Higher Secondary Certificate (HSC)
2015 — 2015L.S. College, Muzaffarpur, Bihar
Secondary School Leaving Certificate (SSLC)
2013 — 2013R.K.D. High School, Rajepur, Bihar