Wajiha Babar

Junior Data Scientist and Machine Learning enthusiast with hands-on experience in building classification models, forecasting pipelines, EDA notebooks, and interactive analytics dashboards. Skilled in Python, SQL, scikit-learn, Power BI, Excel, Streamlit, feature engineering, model evaluation, and dashboard deployment. Experienced in real-world projects including customer churn prediction, credit risk analysis, AQI forecasting, healthcare reporting, sales analytics, and deep-learning image classification.

Data Science Intern - Developers Hub Corporation - Remote

(2026-04)

• Completed internship projects in Iris EDA, Credit Risk Prediction, and Customer Churn Prediction with clean notebooks, documentation, and GitHub repositories.
• Built reproducible ML workflows covering data cleaning, EDA, categorical encoding, feature engineering, model training, evaluation, and deployment-ready outputs.
• Created Streamlit dashboards with KPI cards, prediction forms, batch CSV prediction, feature importance visuals, and downloadable reports.

Software / Data Science Intern - 10Pearls - Remote

(2025-12 - 2026-03)

• Supported data cleaning, validation, reporting, backend tasks, API-based integrations, and project documentation in a real-world software environment.
• Worked with Git/GitHub, agile collaboration, code-review practices, and team coordination to strengthen production-focused development habits.

BS - Software Engineering - Government College University Faisalabad (2022 - 2026)