About
Results-driven Data Analyst with demonstrated expertise in SQL, Python, and Power BI, specializing in transforming complex datasets into actionable business intelligence. Proficient in end-to-end data pipeline management — from data extraction, cleaning, and transformation to visualization, dashboard development, and stakeholder reporting. Experienced in KPI tracking, exploratory data analysis (EDA), and data-driven decision-making. Strong analytical mindset with a track record of delivering insights that improve operational efficiency and support strategic growth. Adept at cross-functional collaboration and communicating data findings to both technical and non-technical audiences.
Skills & Expertise (29)
Work Experience
Data Analyst
Netflix
Jan 2024 - Jan 2024
Designed and executed a full-scale MySQL analytical project on a Netflix dataset to uncover content distribution trends and viewership patterns — directly applicable to content strategy and product decision-making. Authored 40+ production-quality SQL queries leveraging aggregations, GROUP BY, HAVING clauses, subqueries, JOINs, and window functions to extract multi-dimensional business insights. Identified top content-producing countries, genre performance benchmarks, year-over-year release trends, and content-type segmentation (Movies vs. TV Shows) to support data-driven programming strategy. Delivered actionable recommendations on content mix optimization based on historical performance data and audience demand signals.
Business Intelligence Analyst
E-Commerce
Jan 2024 - Jan 2024
Architected and deployed an interactive Power BI dashboard providing real-time visibility into sales performance, customer behavior, and profitability across multiple business dimensions. Tracked and visualized critical KPIs: Total Revenue ($438K), Total Orders (500), Net Profit ($37K), and Units Sold (5,615) — enabling executive-level performance monitoring. Developed advanced DAX measures for state-wise profit analysis, payment mode segmentation, top customer rankings, and monthly sales trend visualization. Enabled data-driven sales strategy and resource allocation through geographic and temporal performance breakdowns.
Data Scientist
E-Commerce
Jan 2024 - Jan 2024
Conducted comprehensive end-to-end exploratory data analysis (EDA) on an e-commerce dataset using Pandas, NumPy, Matplotlib, and Seaborn following data science best practices. Performed category-wise, region-wise, and monthly sales trend analysis to surface high-value business insights for strategic planning. Visualized sales-to-profit correlations and identified top-performing SKUs and high-growth regions to inform product and marketing decisions. Delivered reproducible, well-documented analysis in Jupyter Notebook suitable for stakeholder review and business reporting.
Education
Bachelor of Science (B.Sc) - Swami Vivekanand Sardar Dalip Singh College
- 2023 · Afghanistan
Certifications
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Skills (29)
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