About
Detail-oriented Business Data Analyst with a strong foundation in data analysis, visualization, and business intelligence. Proficient in Excel, MySQL, Power BI, Python, and Tableau, with hands-on experience building interactive dashboards and analyzing complex business datasets. Completed end-to-end analytics projects spanning E-Commerce, Healthcare, and HR domains — translating raw data into actionable insights that drive strategic decisions. Passionate about leveraging data to improve business performance and enable data-driven growth.
Skills & Expertise (39)
Work Experience
Data Analyst
E-Commerce
Present - Present
Analyzed multi-region e-commerce sales data to identify revenue gaps, underperforming product categories, and seasonal demand trends that impacted overall profitability. Built an end-to-end Power BI dashboard by integrating cleaned Excel data with MySQL-backed product and order tables; applied DAX measures to compute dynamic KPIs including revenue, profit margin, and return rate. Identified top 3 underperforming regions contributing to 35% of losses, enabling targeted corrective strategies; dashboard reduced ad-hoc reporting time by providing a self-service analytics layer.
Data Analyst
Healthcare
Present - Present
Hospital management needed visibility into patient admission trends, departmental load, and average length-of-stay to optimize resource allocation and reduce patient wait times. Designed an interactive Power BI dashboard consolidating patient admission records, departmental data, and discharge summaries; built time-intelligence DAX measures to track monthly and quarterly trends. Uncovered peak admission periods and overloaded departments, enabling data-backed staffing decisions; dashboard provided at-a-glance KPIs that reduced manual report generation from days to minutes.
Data Analyst
HR
Present - Present
HR leadership lacked a consolidated view of employee attrition, tenure distribution, and department-level headcount, making it difficult to proactively retain talent and plan workforce needs. Developed an HR analytics dashboard in Power BI using employee records from MySQL; applied segmentation by department, tenure band, age group, and gender to surface attrition drivers and diversity metrics. Pinpointed that employees with 1–2 years of tenure in the Sales department had a 40% higher attrition rate, prompting targeted retention initiatives; dashboard became a monthly HR review tool for leadership.
Data Analyst
Retail Business
Present - Present
A retail business needed to understand distinct customer buying behaviours to personalize marketing campaigns, improve customer retention, and optimize inventory for high-value segments. Applied K-Means clustering on retail transaction data using Scikit-learn after feature engineering RFM (Recency, Frequency, Monetary) metrics with Pandas; visualized cluster profiles using Seaborn and Matplotlib. Segmented customers into 4 actionable groups (Champions, Loyal, At-Risk, Lost Customers); insights enabled targeted re-engagement campaigns and helped prioritize inventory planning for the top 20% of customers driving 60% of revenue.
Education
Bachelor of Commerce (B.Com) - Periyar University
- 2025 · Afghanistan
Certifications
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Skills (39)
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