AI Engineer & Data Analytics Consultant

Delivered ML and analytics solutions for small businesses across a 6-month engagement. Built sales forecasting and customer behaviour models using Python and Excel to support business planning and operational decision-making. Conducted financial and operational risk analysis — defining modelling assumptions, uncertainty drivers, and validation criteria — to ensure outputs were reliable and defensible. Produced client-facing reports and dashboards used by executives to track performance and guide strategy. Translated complex analytical findings into clear recommendations and authored technical documentation for knowledge transfer and long-term maintainability.

Machine Learning Engineering Intern

Researched, built, and evaluated classification models end-to-end using Python, pandas, and scikit-learn — working across the full pipeline from data preprocessing and feature engineering through to model training, cross-validation, and performance optimisation. Conducted applied ML research and translated findings into structured technical documentation covering datasets, modelling approaches, evaluation metrics, and results — ensuring clarity for internal review, stakeholder communication, and project handover.

Data Analyst

Worked on internal operational and customer data spanning over a million records. Built ETL pipelines using Python and SQL to move data from the company database into departmental reporting systems, and designed Power BI dashboards to track billing KPIs and operational performance for management teams. Performed risk analysis on billing and consumption patterns to identify anomalies — meter tampering, illegal connections, and billing errors — and built anomaly detection models that directly contributed to recovering revenue. Collaborated with the software development team to build an internal tool for tracking customer site visits and automating report uploads, bridging the gap between field operations and data reporting.