I'm a Data Scientist who turns raw data into data-driven and AI-powered solutions.
2+ years transforming complex datasets into clear business decisions β across telecom, finance, operations, sales, education policy, and AI-powered solutions.
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I build high-accuracy machine learning models that do more than just process dataβthey predict trends. Whether it's customer churn in telecom or sentiment analysis in AI, I develop robust solutions that help you stay ahead of the curve.
Raw data is useless if you can't read it. I transform complex datasets into interactive, executive-level dashboards. I help you see the "why" behind the numbers so you can make confident, data-driven decisions in real-time.
With experience managing data across dozens of districts and diverse sectors, I help organizations streamline their operations. I identify bottlenecks and provide actionable recommendations to improve performance and policy outcomes.
I help organizations turn data into decisions.
2+ years building dashboards, predictive models, and AI-powered systems across telecom, education, and research. Ranked top 1% of my MS batch at Bahria University.
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95% Proficiency Β· DAX Expert
CGPA 3.75 Β· Bahria University
Real-world Data Science & Analytics projects spanning ML deployment, Power BI dashboards, Python analytics, and ETL engineering.
Built a real-time AI system that detects human emotions (happy, sad, angry, neutral, calm) from audio using deep learning. Supports both live recording and file upload.
End-to-end Telecom Business Analysis using Power BI with advanced DAX measures and ArcGIS map visuals to identify top 5 highest-risk cities and churn patterns.
Analyzed customer spending behavior by income, gender, and card type. Revealed high-income men spent 3Γ more; Blue cards generated 46Γ more revenue than other types.
Reach out for Data Science, Analytics, Power BI, or AI/ML opportunities
Let's connect and explore how we can work together on your next data challenge.
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