🎓 Masters of Science in Data Science (Distinction), King's College London | 📍 London, UK
💻 Python | SQL | ML | AWS | Power BI | PySpark | NLP | TensorFlow | Docker
🔍 I’m a data professional with hands-on experience in predictive modeling, data visualization, ML engineering, and large-scale data processing.
🛠 From deploying machine learning solutions in industry to building insightful dashboards and publishing research, I thrive on solving real-world problems with data.
🚀 Currently exploring projects in privacy-preserving ML, network analysis, and NLP, while staying sharp with tools like scikit-learn, TensorFlow, Power BI, and Streamlit.
🧠 Always learning, always building.
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📈 AImigo - The AI Wisher
Designed and deployed a full-stack LLM web app (React, Node/Express, MongoDB) delivering personalized AI-generated greetings with one-click WhatsApp sharing -
📈 Mechanic Centre Revenue Prediction
Built machine learning models to predict future revenues for a mechanic centre, improving financial forecasting accuracy with regression modeling and hyperparameter tuning. -
📈 Enhancing Tree-Based Generative Modelling with Differential Privacy
Developed a novel approach to enhance Generative Tree-Based Models with Differential Privacy, enabling synthetic data generation with strong privacy guarantees. Applied Laplace and Exponential mechanisms and validated results on real datasets. -
📊 Olympics Medal Analysis
Visualized trends in medal distribution across nations using Python, Seaborn & Matplotlib. -
🔗 Facebook Ego Network Analysis
Used NetworkX to uncover key nodes and clusters in social networks. -
🧾 APA Award Recipients NLP
NLP techniques applied to Wikipedia data using spaCy and NLTK. -
🛠 Remote Machine Condition Monitoring
Award-winning real-time dashboard and monitoring system. Published in IJARCCE.
📌 Let’s connect and collaborate on meaningful data projects. I'm open to roles in data science, analytics, or ML across the UK and beyond.