About
Entry-level Data Analyst with hands-on project experience in financial and data analytics. Experienced in transforming raw datasets into actionable insights using Python, SQL, Excel, and Power BI through data cleaning, exploratory analysis, KPI reporting, and dashboard development. Strong focus on translating analytical findings into business-relevant decisions.
Skills & Expertise (29)
Work Experience
Data Analyst – Project-Based Experience
Innomatics Research Labs
Aug 2025 - Present
Financial Risk Assessment Analysis: Data cleaning, transformation and analysis of 5,000+ financial records using Python and Pandas. Applied statistical imputation techniques to handle 12.4% missing values, improving the accuracy and completeness of the data set. 3.8% outliers were detected and treated in loan and asset variables to enhance data reliability. Conducted a correlation and risk analysis to identify relationships such as income - assets (0.72) and Credit score - loan amount (0.65) that support credit risk modeling. Energy Consumption Analysis: Data on energy consumption in 20+ countries analyzed using Python, SQL, and Excel. Evaluated electricity, oil, gas and coal usage that contributes to national energy profiles. Identified that top GDP countries contributed 60–70% of total global energy consumption. Observed that over 80% of emissions originated from non-renewable energy sources. Customer Churn Analysis: Analyzed customer behavior data containing 7,000+ records across billing and tenure features. Identified 25–30% higher churn among month-to-month customers compared to long-term contracts. Discovered that nearly 50% of churn occurred within the first 12 months. Estimated 20–25% potential revenue loss using KPI dashboards to support retention strategies.
Education
Master of Business Administration (Finance) - PSCMR College of Engineering and Technology
2023 - 2025 · Afghanistan
Bachelor of Business Administration (BBA) - Nalanda Degree College
2021 - 2023 · Afghanistan
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