Muhammad Abdulrehman
Data Analyst turning messy spreadsheets into clean insights.
New to Contra
Muhammad is ready for their next project!
Built a real-time ride-sharing Android app in Java with a Firebase backend. Implemented rider and driver modules with live GPS tracking, Google Maps route drawing (Directions API), and automatic fare calculation (base fare + per-km rate). Used Firebase Realtime Database to sync ride status instantly between rider and driver — from request, to acceptance, to completion.
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5
Built a Python-based analytics system to uncover patterns in retail product data. Used Decision Tree Classifier for product trend analysis, K-Means clustering for customer segmentation, and the Apriori algorithm for market basket analysis (association rule mining). Included data cleaning/preprocessing and visualization of key insights using Pandas, NumPy, and Scikit-learn.
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10
E-Commerce Order Data Analysis — DecodeLabs Internship
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24
Cleaned a messy e-commerce order dataset — fixed inconsistent text formatting, removed duplicates, and handled missing values. Applied the IQR (Interquartile Range) method to statistically detect price outliers, flagging 2 anomalous orders out of 14 for review. Calculated Q1, Q3, and outlier bounds directly in Excel to support accurate, defensible data quality decisions.
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39