Professional Overview
Results-driven Data Analyst with hands-on experience in SQL, Python, Excel, and data visualization tools. Skilled in collecting, cleaning, and analyzing data to uncover actionable insights that support business decision-making.
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.