ZIA UR REHMAN

Data analysis professional prepared to deliver impactful insights and drive business decisions. Adept in data visualization, statistical analysis, and database management, with strong focus on teamwork and adaptability. Known for reliability, analytical thinking, and results-driven approach. Skilled in Python, SQL, Power BI, and Excel, ensuring robust data solutions and strategic recommendations.

BLINKIT Outlets Sales Data Analysis

Cleaned and prepared raw data; handled missing values and standardized categories • Conducted EDA using Python and created data visualizations • Built summary tables and evaluated product and outlet performance. Then visualized the data in Power Bi with interactive dashboards.

Store Sales Forecasting using Prophet

Prepared time-series dataset with proper formatting • Built forecasting model predicting store sales for 100 days • Visualized results and validated model performance Cancer Diagnosis Prediction (Logistic Regression)

Cleaned dataset and converted categories to numeric form • Trained logistic regression model with 0.98 accuracy • Interpreted coefficients and performance metrics

Bank Profitability Panel Data Analysis • Cleaned and balanced multi-year panel dataset of banks • Ran Pooled OLS, Fixed Effects, and Random Effects models • Performed Hausman test and interpreted macroeconomic/financial drivers

Telecom Churn EDA • Preprocessed telecom customer dataset • Conducted EDA using seaborn/matplotlib • Identified churn predictors and customer behavior insights.Then visualized the data in Power Bi with interactive dashboards.

Netflix Movies Data Cleaning & EDA • Cleaned metadata fields and handled missing values • Identified genre, actor, and director performance trends • Explored budget/revenue patterns and top-performing films. Then visualized the data in Power Bi with interactive dashboards.

IELTS