Mohammad Abbas
Data Analyst skilled in Python, SQL, Power BI
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Title: University Admissions Trend Prediction
Tags: Python, Machine Learning, Scikit-learn
Description: Built a predictive model to forecast university admission outcomes based on academic and demographic features. Performed feature engineering, model selection, and produced a performance report with accuracy metrics.
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Description: Analyzed performance trends of Pakistan's top mutual funds using historical NAV data. Built visualizations comparing fund categories, return rates, and risk metrics — giving investors a data-driven view of fund behavior over time.
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Tittle: Customer Shopping Behavior Analysis
Tools : Python, PostgreSQL, Power BI, EDA
Description: Explored 3,900+ retail transactions to uncover buying patterns, peak sales periods, and high-value customer segments. Delivered a Power BI dashboard and SQL-backed data model for business decision support.
Link : https://github.com/iabbaszaidi/Customer_data_analysis
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