Professional Overview
Machine Learning enthusiast with practical experience in building end-to-end ML projects using Python, Scikit-Learn, XGBoost, and FastAPI. Skilled in data analysis, feature engineering, predictive modeling, model evaluation, and explainable AI. Passionate about solving business problems through data-driven solutions and continuously improving techn
Areas of Expertise
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
Data Science & Analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
MLOps & AI Infrastructure
Architect scalable ML infrastructure — CI/CD for ML, model versioning, experiment tracking, monitoring, and cloud deployment on AWS, GCP, or Azure.
