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Amna Soomro
Data Analyst - Tableau & Power BI Dashboard Specialist
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Islamabad, Pakistan
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Islamabad, Pakistan
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Skill Gap Analysis Tool (ML) Problem: Recruiters and training teams often struggle to pinpoint exactly which skills a candidate or intern is missing versus what a role requires. What I built: A skill gap analysis model comparing candidate profiles against role requirements. Result: Turns vague "needs improvement" feedback into a specific, actionable skill gap breakdown. Tags: Machine Learning, Recruitment Analytics, Python, Talent Development
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Sentiment Analysis for Intern Feedback (ML) Problem: Companies collect intern/employee feedback but rarely analyze it systematically to catch dissatisfaction early. What I built: A machine learning sentiment analysis model to classify feedback and flag negative sentiment patterns. Result: Enables HR teams to catch morale or engagement issues before they escalate. Tags: Machine Learning, NLP, HR Analytics, Python
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Customer Behavior Dashboard (Power BI) Problem: 3,900 raw customer transactions needed to be turned into a full analytics project, not just a chart. What I built: Cleaned and engineered features in Python, wrote business-focused SQL queries in PostgreSQL, then built an interactive Power BI dashboard covering subscription status, revenue and sales by category, and revenue/sales by age group. Result: Surfaced insights like male customers driving nearly double the revenue of female customers, a clear loyalty gap among repeat non-subscribers, and pricing issues on discount-dependent products. Tags: Python, SQL, Power BI, Customer Analytics, Business Intelligence
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E-commerce Executive Dashboard (Tableau) Problem: A UK online retailer's sales data was scattered across transactions with no clear view of revenue trends, top products, or customer value. What I built: An executive dashboard in Tableau covering revenue trends, top-performing products, country-level sales via map view, customer value segments, and cancellation patterns. Result: Gave stakeholders a single view to spot revenue leaks and high-value customer segments at a glance.
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