🎓 BS Software Engineering | CGPA 3.76/4.00 💼 Machine Learning Intern @ National Grid Company Pakistan Limited 📊 5+ End-to-End Machine Learning Projects 🚀 Machine Learning • NLP • Predictive Analytics • Streamlit 🌍 Open to AI Research & ML Opportunities
I'm Rizwan Ahmed, a Software Engineering student at IBA Sukkur (CGPA 3.76/4.00), currently working as a Machine Learning Intern at National Grid Company Pakistan Limited (NGC).
I build production-oriented ML systems end-to-end — data collection, cleaning, exploratory analysis, feature engineering, model development, evaluation, and deployment. Each project in my portfolio ships as a working, deployed application rather than a static notebook.
My core interests are Machine Learning, Deep Learning, NLP, and MLOps, and I'm working toward a career as a Machine Learning Engineer alongside a longer-term interest in graduate-level AI research.
🏛️ IBA Sukkur BS Software Engineering CGPA 3.76/4.00 | Expected Graduation May 2027
Research Interests: Machine Learning Deep Learning NLP MLOps Explainable AI Predictive Analytics
Machine Learning Intern — National Grid Company Pakistan Limited (NGC) July 2026 – Present
• Analyze operational datasets for predictive modeling
• Develop Scikit-Learn models for real-world power sector use cases
• Perform feature engineering and model evaluation
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Problem: HR teams lack an early signal for declining employee satisfaction. Solution: Scikit-Learn classification model trained on workplace survey data to flag at-risk satisfaction levels.
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Problem: Lenders need a fast, consistent way to assess borrower risk. Solution: Classification model trained on financial/credit history data, deployed as an interactive scoring app.
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Problem: Manually reading customer reviews doesn't scale. Solution: NLP pipeline that extracts sentiment and key themes, surfaced through an interactive Streamlit dashboard.
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Problem: Early risk detection can meaningfully change patient outcomes. Solution: Classification model on patient health metrics for early-detection screening, deployed as a live app.
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Problem: Healthcare datasets use inconsistent field names across systems, making integration slow and error-prone. Solution: AI-powered tool that semantically matches schema fields across datasets using sentence embeddings and fuzzy matching, deployed as an interactive Streamlit app.
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Problem: A brand needed a fast, modern web presence. Solution: Responsive landing page built with clean UI/UX principles, deployed on Vercel.
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Programming Languages
Machine Learning
Natural Language Processing
Data Analysis
Deployment
Version Control
Development Tools
- 💼 Machine Learning Intern @ National Grid Company Pakistan Limited
- 🛠️ Built 6+ end-to-end Machine Learning projects, each taken from raw data to deployed application
- 🚀 Deployed live ML applications on Streamlit and Vercel
- 🎖️ Introduction to Data Science — Cisco
- 🎖️ Intermediate Machine Learning — Kaggle
- 🎓 CGPA 3.76 / 4.00 in BS Software Engineering at IBA Sukkur
Machine Learning Engineering AI Research Natural Language Processing Predictive Analytics Open Source Contributions
I build Machine Learning systems that turn data into reliable, real-world decisions. Open to Machine Learning internships, research collaborations, and engineering opportunities.
Always learning. Always building. Always improving.
© 2026 Rizwan Ahmed