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Data Scientist focused on practical AI and data-driven systems. 📍 Islamabad, Pakistan |
Workflow: |
Building a stronger research foundation in: AI · ML · NLP · LLMs · Multi-Agent Systems Interested in reproducible experiments, practical AI applications, and research-driven development. |
◈ DATA • MODELS • INTELLIGENCE ◈
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I'm a Data Scientist focused on building practical solutions across:
I enjoy taking a problem from raw data → exploration → modeling → evaluation → application. Current direction: strengthening my research foundation in AI, ML, NLP, LLMs and multi-agent systems while building reproducible, portfolio-ready projects. |
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Selected projects across Machine Learning · Deep Learning · NLP · Computer Vision · Data Science
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MobileNetV2 Transfer Learning Five-class flower image classification using a pretrained MobileNetV2 backbone. CV · TensorFlow · Transfer Learning |
Emotion-Aware Movie Recommendation Movie recommendation combining sentiment and emotion analysis with explainability. NLP · Recommenders · Explainable AI |
Image Classification Deep-learning study covering CNN-based image classification and evaluation. CNN · TensorFlow · Computer Vision |
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End-to-End ML Application Machine-learning workflow from data preparation and modeling to Flask API deployment. ML · Feature Engineering · Flask |
Landing Prediction Data-science capstone covering data collection, SQL, EDA, visualization and ML. SQL · EDA · ML · Visualization |
Employee Attrition Prediction People-analytics project exploring employee attrition with predictive modeling. EDA · Classification · Predictive Modeling |
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Percentage basis: technology percentages are portfolio-coverage figures across the 12 public project repositories currently on the profile. GitHub's Linguist can classify Jupyter notebooks separately from the Python code inside them, so the notebook row explicitly reports Python / Jupyter = 100% rather than using the misleading Jupyter-only language classification.
Data Scientist — SleepLiveWell
October 2024 – March 2025
- Analyzed sleep-related datasets for predictive modeling.
- Developed AI-agent solutions using TensorFlow and NLP.
- Performed feature engineering to improve model quality.
- Collaborated on data-driven sleep-health solutions.
- Worked with YAML and LLM concepts for deployable AI-agent workflows.
Bachelor of Science in Computer Science
Abasyn University, Peshawar
- IBM Data Science professional learning
- IBM Machine Learning professional learning
- Undergraduate project: Genre-Specific Movie Recommendation System Using Sentiment and Emotion Analysis
- University final-year project / thesis open-defense winner
Updated automatically every 12 hours by GitHub Actions.
Building practical AI systems from data, one project at a time.