Data Analyst with less than a year in Data Science & Business Intelligence
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Assessing your cultural and operational fit
Data Science undergraduate with hands-on experience across healthcare, finance, and automation domains. Skilled in Python, SQL, machine learning, and BI dashboards, with a track record of delivering data-driven solutions through 3 internships and multiple end-to-end ML projects.
NED University of Engineering & Technology
B.E. Computer Science · Data Science
August 1, 2022 – June 30, 2026
Usman Public Secondary and Higher Secondary School System
Intermediate · Pre Engineering
June 1, 2020 – May 31, 2022
Habib Bank Limited
Data Analyst Intern
January 1, 2026 – February 1, 2026
India
Aga Khan University & Hospital
Data Analyst Intern
July 1, 2025 – August 1, 2025
India
Karachi Development Authority
Data Analyst Intern
March 1, 2025 – April 1, 2025
India
Salary Prediction for Developers
June 21, 2026 – Present
ML pipeline on 20,000+ Stack Overflow survey responses; XGBoost/Random Forest models achieving R² of 0.74. Deployed Streamlit UI for real-time predictions and Power BI dashboard for exploratory analysis.
Digital Media Analytics System
June 21, 2026 – Present
YouTube analytics platform using Python, NLP, LSTM, XGBoost - delivered 75% sentiment accuracy and engagement prediction. Graph analytics on 50,000+ comments to model creator-audience relationships.
Real-Time Smart Fraud Detection System
June 21, 2026 – Present
Hybrid deep learning fraud detection (anomaly + supervised classification) achieving 85% precision on imbalanced data. Deployed via FastAPI and Streamlit for real-time transaction monitoring and alert generation.
Google AI Professional Certificate
Coursera
June 1, 2026 – Present
Google Data Analytics Professional Certificate
Coursera
June 1, 2026 – Present
Microsoft Power BI
Coursera
June 1, 2026 – Present
ZTM Machine Learning & Data Science
Unknown
June 1, 2026 – Present
AI Essentials
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio (digital media, fraud detection, salary prediction) and internship experiences across different sectors (finance, healthcare, government) suggest adaptability and a broad interest in applying data science to various problems. This indicates a good potential for cultural fit in dynamic environments that value versatility and continuous learning. The pursuit of multiple certifications also highlights a self-driven learning approach.
Soft Skills & Operational Fit
The candidate demonstrates a proactive attitude through self-initiated projects and certifications. The internship experiences, though short, indicate an ability to work within organizational structures and contribute to data-driven decision-making. The focus on reducing manual effort and improving accuracy suggests an operational mindset. However, the short duration of internships (1-2 months each) might indicate limited exposure to long-term project cycles or complex team dynamics.