About
Aspiring Data Analyst with hands-on experience in SQL, Python, Excel, Power BI, and data visualization. Skilled in data cleaning, data analysis, SQL querying, dashboard development, and generating meaningful insights from datasets. Experienced in using Python for data manipulation and exploratory analysis and Excel for reporting, validation, and data organization. Strong analytical and problem-solving skills with the ability to communicate insights clearly and support data-driven business decisions.
Skills & Expertise (39)
Work Experience
Retail Sales Analysis Dashboard
DMart
Present - Present
Analyzed 1,000,000 retail transactions to identify sales trends, customer behavior, product performance, and time-based revenue patterns. Cleaned and transformed large datasets using Python Pandas and NumPy, performing checks for missing values, duplicates, data types, and data consistency. Used MySQL to write SQL queries involving joins, aggregations, conditional logic, and business calculations for retail analysis. Performed exploratory and comparative analysis across customer types, product categories, quantities, revenue, and monthly sales. Developed an interactive Power BI dashboard with KPI cards, filters, charts, and visualizations to communicate business insights.
5-Year Financial Analysis
HDFC Bank
Present - Present
Collected and analyzed five years of HDFC Bank financial data covering profitability, advances, deposits, asset quality, efficiency, capital strength, and cash flow. Cleaned, validated, and reconciled financial data using Excel and Python, checking missing values, duplicates, data types, reporting periods, and source consistency. Used SQL and Excel to perform KPI calculations, comparisons, and year-over-year trend analysis across financial metrics. Used Pandas and NumPy for financial data manipulation and exploratory analysis to identify changes and performance patterns. Built an interactive Power BI dashboard with KPI cards, trend analysis, comparisons, and data visualizations for financial reporting.
Dashboard
Credit Risk Analysis
Present - Present
Analyzed 31,522 borrower records to identify patterns across loan purpose, loan grade, home ownership, previous defaults, income, and loan-to-income ratios. Performed data cleaning and validation using Python Pandas, identifying missing values, duplicates, unrealistic records, and data-type inconsistencies. Used SQL aggregations, conditional analysis, and segmentation to compare borrower characteristics and credit-risk indicators. Applied exploratory and statistical analysis to identify patterns across borrower attributes, loan characteristics, and risk metrics. Developed a Power BI dashboard with DAX-based KPIs, data relationships, filters, segmentation, and interactive visualizations.
Analytics
2027 ODI World Cup
Present - Present
Analyzed tournament datasets using Python to identify team performance, venue characteristics, match-level trends, and comparative patterns. Used Pandas and NumPy for data manipulation, transformation, aggregation, and exploratory analysis. Created analytical visualizations using Matplotlib to compare team performance, venue characteristics, and tournament metrics. Performed comparative analysis to identify performance patterns and summarize findings across teams and venues. Developed a Power BI dashboard to present KPIs, trends, comparisons, and interactive tournament insights.
Education
Master of Computer Applications (MCA) - Vels University
2024 - 2026 · Afghanistan
Bachelor of Commerce in Accounting & Finance - Guru Nanak College (Autonomous)
2021 - 2024 · Afghanistan
Certifications
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Skills (39)
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