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Data Scientist & Machine Learning Engineer
๐ MSc Data Science @ University of Roehampton, London
๐ Building intelligent systems with Python, ML & Big Data
๐ผ 2+ years experience | 87.3% model accuracy | 500K+ data points
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Building data-driven solutions across cybersecurity, IoT, and community leadership
Engineered advanced statistical anomaly detection pipelines for 1M+ daily security events using Splunk and SIEM, achieving 68% improvement in threat identification. Developed predictive risk-scoring models reducing MTTD by 30%.
Redesigned IoT data pipeline processing 50,000+ daily sensor events with 35% performance improvement. Built time-series forecasting model with 82% accuracy for parking occupancy prediction.
Organized 12+ data science hackathons and technical workshops on Deep Learning, NLP, and MLOps. Drove 45% increase in community engagement through mentorship and event programming.
End-to-end data science and machine learning expertise
Production-grade ML solutions with measurable business impact
Distributed big data pipeline processing 500,000+ customer transactions with 70% faster processing. Customer segmentation identifying high-value segments.
Binary classification system predicting attrition with 87.3% accuracy and 0.89 ROC-AUC. Ensemble modeling with hyperparameter optimization.
Multivariate regression on 25,000+ vehicle listings achieving Rยฒ = 0.91. Interactive Tableau dashboard for pricing intelligence.
Deep learning image classifier using EfficientNetB0 on Oxford Flowers dataset. Achieved 88.82% accuracy with data augmentation.
Research on algorithmic bias in hiring, healthcare, and facial recognition. Presented fairness-aware ML techniques and mitigation strategies.
Statistical testing framework for Gender Pay Gap and HR analytics. Implemented hypothesis testing and confidence intervals.
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Building expertise through formal education and continuous learning
Strong academic performance in Term 1. Core modules: Machine Learning, Big Data Analytics, Statistical Modelling, Deep Learning. Focus on predictive modelling and MLOps.
GPA: 3.70/4.00. Specialization in Business Intelligence & Data Analytics. Achieved up to 15% model performance improvement through advanced techniques.
CGPA: 9.1/10 (First Class with Distinction). Coursework: Data Structures, DBMS, OOP, Computer Networks.
Industry-validated expertise across data science, ML, and cybersecurity
Available for data science opportunities in the UK | Response within 24 hours