About
Analytical and detail-oriented data analyst with hands-on experience in Python, SQL, Excel, and Power BI. Skilled in data cleaning, EDA, ETL workflows, statistical analysis, and dashboard development. Demonstrated ability to work with large datasets (50K+ records), perform RFM segmentation, and translate business problems into structured analytical workflows. Strong communicator who can present findings to both technical and non-technical audiences.
Skills & Expertise (24)
Work Experience
Data Analyst
OLA
Present - Present
Executed an end-to-end data analytics pipeline using SQL, Excel, and Power BI to extract, clean, and visualize ride booking data. Queried and cleaned large relational datasets using SQL, handling missing values and inconsistent records to ensure data quality. Built an interactive Power BI dashboard summarizing key booking trends and KPIs, enabling data-driven decisions for stakeholders.
Data Analyst
E-Commerce
Present - Present
Analysed 50,000+ transactional records using Python (Pandas, NumPy) and SQL to uncover revenue trends and top-performing products. Performed RFM (Recency, Frequency, Monetary) customer segmentation, identifying high-value customer cohorts contributing the majority of revenue. Developed an interactive Power BI / Tableau dashboard to visualize KPIs including revenue, profit margin, and customer retention rates.
Data Analyst
Netflix
Present - Present
Conducted exploratory data analysis (EDA) on 7,000+ titles using Python (Pandas, Matplotlib, Seaborn) to identify trends in genres, release years, and content type. Integrated IMDb ratings data to analyse correlation between content quality scores and viewer popularity metrics. Built visual dashboards and predictive insights to support content strategy decision-making.
Education
Bachelor of Technology – Computer Science and Engineering - Sri Indu College of Engineering and Technology
2021 - 2025 · Afghanistan
Certifications
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Skills (24)
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