Data Analyst with 2+ years in data analysis, visualization & ETL processes.
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Assessing your cultural and operational fit
A dedicated Data Analyst with over 2.1 years of experience in collecting, cleaning, and analysing data to help businesses make better decisions. Skilled in building and maintaining data pipelines and ETL processes. Proficient in writing SQL queries for PLsql/MySQL databases and using Python tools like Pandas, NumPy and Beautiful Soup for data analysis and visualizations. Experienced in creating clear and interactive dashboards with Power BI. Confident in testing and validating APIs to ensure accurate and consistent data. Committed to using data to solve problems and support business goals.
Gennba Sopanrao Moze College
MBA In Business Analytics · Business Analytics
August 1, 2025 – June 30, 2027
MS Bidve Engineering College
Bachelor of Engineering · Electronics Engineering
August 1, 2021 – June 30, 2024
Vishweshwarayya Abhiyantriki Padvika Mahavidyalaya
Diploma · Computer Technology
August 1, 2017 – June 30, 2021
JPD Data Science Private Limited
Data Analyst
January 1, 2024 – Present
Pune, Maharashtra, India
Credit Risk Analysis Using Exploratory Data Analysis (EDA)
June 15, 2026 – Present
Explored loan data to find important factors that cause loan defaults. Studied customer details, credit history, and loan records to see patterns in repayments. Used Python (Pandas, NumPy, Matplotlib) to clean data, find errors, and do calculations. Made charts and graphs to better understand the data and help with decisions. Found risky loan applicants, helping the company reduce money loss. Provided useful insights to help in loan approval decisions.
Loan Data Analysis Using Python & EDA
June 15, 2026 – Present
Analyzed loan data to find important trends in overdue payments and interest amounts. Used Python (Pandas, Pandas) to create clear visualizations like charts and graphs. Created scatter plots, bar charts, and histograms to show patterns in loan defaults. Cleaned and processed large datasets to make sure the data was correct. Built ETL pipelines to manage and organize data automatically. Created reports to help in making better financial decisions.
Monthly Loan Disbursement Report
June 15, 2026 – Present
Developed a monthly loan disbursement tracking system to monitor approved and released loans Analyzed zone-wise and region-wise loan distribution trends Used Python (Pandas, NumPy, Matplotlib) to clean data, identify errors, and summarize financial data Created visual dashboards and reports to highlight key performance metrics Performed daily and monthly monitoring of loan disbursement activities Delivered actionable insights to support effective loan disbursement decisions
Cultural Fit Analysis
The candidate's projects are primarily focused on financial data analysis, specifically loans, which shows a focused interest. The current role as a Data Analyst aligns well with the target role. However, the project diversity is somewhat limited to a single domain (loan data), and the breadth of technologies used, while solid for core data analysis, could be expanded to include more advanced tools or different data sources to demonstrate broader adaptability. The candidate is pursuing an MBA in Business Analytics, which indicates a commitment to continuous learning and professional development.
Soft Skills & Operational Fit
The candidate's resume highlights a commitment to using data to solve problems and support business goals, indicating a results-oriented approach. The descriptions of project work suggest an ability to translate technical analysis into actionable insights. However, without specific psychometric test results, a deeper assessment of logical reasoning, work attitude, stress handling, and team collaboration is not possible.