M
Malik Abubakar
About
Detail
Rawalpindi, Punjab, Pakistan
Résumé
Jobs
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Machine Learning InternArch TechnologiesJul 2026 - Current (3 months)• Built end-to-end machine learning pipelines including data cleaning, feature engineering, model evaluation, and deployment.
• Compared multiple machine learning models to identify the best-performing solution using evaluation metrics.
• Developed scalable prediction workflows using Python, Scikit-learn, and real-world datasets.- Machine Learning InternDevSphereJun 2026 - Current (4 months)• Developed supervised and unsupervised machine learning models using Python and Scikit-learn.
• Performed data preprocessing, feature engineering, and model evaluation on structured datasets.
• Applied classification, regression, and clustering techniques to solve predictive analytics problems.
Education
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- Bachelor of Science in Computer Science (Artificial Intelligence)Barani Institute of Information TechnologyJan 2024 - Current (2 years 9 months)CGPA: 3.86
5th Semester - Intermediate in Computer Science (ICS)Punjab CollegeJan 2021 - Jan 2023 (2 years 1 month)
Projects (professional or personal)
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- Loan Approval Prediction SystemPersonal ProjectJan 2025Built an end-to-end Loan Approval Prediction System with data preprocessing, feature engineering, and machine learning model training using Python and Scikit-learn. Compared multiple machine learning models to identify the best-performing approach and developed a Streamlit-based web application for real-time loan approval predictions.
- Telecom Customer Churn PredictionPersonal ProjectJan 2025Developed a Customer Churn Prediction System using supervised machine learning techniques. Performed data preprocessing, feature engineering, and model evaluation, and deployed the solution with Streamlit for real-time customer churn prediction.
- Email Spam ClassifierPersonal ProjectJan 2025Developed an email spam classifier using natural language processing and machine learning. Trained and evaluated classification models to accurately distinguish spam from legitimate emails. Deployed the application with a live web interface for real-time spam prediction.
- Customer Segmentation using K-Means ClusteringPersonal ProjectJan 2025Applied K-Means clustering to segment customers based on behavioral data. Identified 5 customer segments through clustering and exploratory data analysis. Generated insights to support customer targeting and business decision-making.
- Placement Prediction SystemPersonal ProjectJan 2025Built an end-to-end Placement Prediction System with data preprocessing, feature engineering, and machine learning model training. Compared multiple machine learning models to identify the best-performing approach and deployed the solution using Streamlit for real-time placement predictions.
Awards
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- SSpeed Programming CompetitionNov 2025