About
Finance Data Analyst specializing in credit risk analytics and financial dashboards. Built end-to-end solutions using Power BI, MySQL, and Python across banking — 50,000+ customer records — and retail domains — 143 weeks, 45 stores. Targeting Finance DA roles in fintech or banking to deliver credit risk and financial analytics solutions.
Skills & Expertise (24)
Work Experience
Credit Risk Analysis Dashboard Developer
Banking
Apr 2026 - Apr 2026
Built an end-to-end credit risk analytics solution using MySQL and Power BI on 50,000+ customer records, performing SQL analysis to identify high-risk customers based on credit score, income, and debt-to-income ratio. Developed a risk categorization model (High / Medium / Low) and an interactive Power BI dashboard visualizing loan distribution, customer risk segments, and employment-based credit risk patterns.
Weekly Sales Forecasting Model Developer
Walmart
Feb 2026 - Feb 2026
Built a predictive model using Random Forest to forecast weekly store sales on 6,400+ records, achieving RMSE of 5,229.93; performed EDA using Pandas and NumPy to identify key drivers including holiday flags and temperature trends. Applied feature selection to improve model accuracy and evaluated performance using MAE and RMSE metrics, demonstrating how predictive analytics supports demand planning in retail.
Sales Performance Dashboard Developer
Walmart
Jan 2026 - Feb 2026
Built an interactive Power BI dashboard analyzing weekly sales across 45 stores and 99 departments (143 weeks of data), developing 10+ DAX measures for KPIs including total sales, store rankings, and department comparisons. Cleaned and preprocessed raw retail data using Python (Pandas) and identified seasonal sales spikes and top-performing departments to support data-driven merchandising decisions.
Education
Bachelor of Computer Applications (BCA) - D. Y. Patil University
2022 - 2025 · Afghanistan
Certifications
Python for Data Science
IBM · 2025
Data Analysis with Python
IBM · 2025
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Skills (24)
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