About
Data Analyst with an M.Sc. in Statistics and hands-on experience in MySQL, Power BI, Python (Pandas, NumPy) and Advanced Excel. Skilled in data cleaning, ETL, exploratory data analysis, dashboard development and KPI reporting. Built end-to-end analytics pipelines and interactive dashboards that turn raw data into actionable business insights, including a classification model with 96.67% test accuracy.
Experience1
Statistical Data Analysis Intern
May 2026 — Jun 2026Maharashtra State Road Transport Corporation (MSRTC)
Analyzed operational data using descriptive statistics, correlation, regression, hypothesis testing and ANOVA to derive insights. Collected, organized, and structured datasets in Excel to support accurate analysis. Prepared tabular and graphical reports and supported report writing to communicate findings to stakeholders.
Projects2
Built an end-to-end Python and Pandas pipeline to ingest, validate and cleanse 3,900 consumer purchase records, imputing 37 missing ratings using category-specific medians. Used MySQL joins and aggregations for customer segmentation; found male customers generated over 2x the transaction value of female customers ($157,890 vs. $75,191). Developed an interactive Power BI dashboard (DAX) with cross-filtering to monitor KPIs across customer demographics.
- Python
- Pandas
- MySQL
- Power BI
- DAX
Cleaned raw survey data using Regex and performed EDA and statistical validation on risk indicators across 300 households. Built Random Forest, SVM and Logistic Regression classifiers, achieving 96.67% test accuracy. Deployed an interactive Streamlit dashboard enabling stakeholders to explore risk scenarios and support decisions.
- Python
- Scikit-learn
- Streamlit
- Regex
Education2
M.Sc.
2024 — 2026Vivekanand College, Kolhapur
Statistics
B.Sc.
2021 — 2024Shivaji University, Kolhapur
Statistics