About
Data Analyst with hands-on experience in SQL, Python, Power BI, Excel, and MySQL, delivering data cleaning, EDA, dashboard development, and predictive modeling across internship and academic projects. Built end-to-end analytics pipelines processing 250K+ records and machine learning models across churn prediction and classification tasks. Strong problem-solving foundation with a track record of translating raw data into actionable business insights.
Skills & Expertise (27)
Work Experience
Data Science Consultant Intern
Rubixe Technologies Pvt. Ltd.
Present - Present
Extracted and analyzed 243,553 telecom customer records via live MySQL integration, identifying a 20% baseline churn rate. Engineered an end-to-end churn pipeline: data cleaning, categorical encoding, and feature engineering across demographic, usage, and billing attributes. Built and benchmarked 5 classification models (Logistic Regression, Decision Tree, Random Forest, Gradient Boosting, XGBoost), evaluating with precision, recall, F1, and ROC-AUC to account for class imbalance rather than relying on accuracy alone. Tuned a Random Forest model via GridSearchCV with 5-fold cross-validation, achieving stable 80% CV accuracy across folds. Identified usage volume, account balance, and call frequency as the top churn predictors via feature importance analysis, generating a churn-probability scoring flag (CHURN FLAG) to support proactive retention targeting.
Education
Bachelor of Engineering (B.E.) in Computer Science and Engineering - BLDEA’s V.P. Dr. P.G. Halakatti College of Engineering and Technology
2021 - 2025 · Afghanistan
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Skills (27)
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