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Professional Overview
Cleaned and pre-processed large datasets (95% reduction in data errors) to ensure high-quality data for analysis. • Utilized statistical tools and software (Python, SQL, Excel) to analyze datasets with up to 100,000 records and extracted actionable insights (resulting in 25% increase in process efficiency). • Created visualizations and dashboards using tool like Power BI. Assisted in developing predictive models (boosting model accuracy by 15%).
Areas of Expertise
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
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.
