Transforming raw data into clear, actionable insights. Specialising in statistical analysis, machine learning, and professional data storytelling across R, Python, SQL, Power BI, and Excel, across seven industries and over 2 million records analysed.
A data scientist and analyst with a strong foundation in statistical analysis, predictive modelling, machine learning, and business intelligence and a clear trajectory toward AI and ML engineering. Every project, certification, and line of code is part of a deliberate progression: from analyst to scientist to engineer.
The portfolio here spans seven completed projects across R, Python, SQL, Power BI, and Advanced Excel, covering retail, banking, HR, supply chain, clinical healthcare, and SaaS product analytics across more than 2 million records. Each project follows a rigorous, professional workflow, from data preprocessing and exploratory analysis through to machine learning, dashboard development, and clear business recommendations.
Currently pursuing the Google Data Analytics Certificate as the foundation of a structured certification pathway, leading through Google Advanced Data Analytics, the NIIT Certificate in Data Analytics, Andrew Ng's Machine Learning and Deep Learning Specializations, and ultimately the Microsoft DP-100 Azure Data Scientist Associate.
Actively seeking Junior Data Scientist roles, remote or hybrid, where analytical rigour, clear communication, and a genuine drive to build intelligent systems can deliver real business impact.
An end-to-end analytics investigation into regional spending patterns, customer demographics, and predictive modelling of purchase channel, customer age, and region across 80,000 transactions.
A six-theme business intelligence system covering customer segmentation, churn prediction, cross-sell recommendations, demand forecasting, inventory replenishment, and price optimisation across 524,878 transactions.
A seven-theme fraud intelligence report across 1,296,675 credit card transactions covering fraud risk by category, merchant, demographics, amount, geography, and time with full SQL analysis and executive recommendations.
A seven-theme HR analytics investigation across 1,470 employees covering attrition by department, role, compensation, satisfaction, overtime, tenure, and demographics, with a five-page interactive Power BI dashboard and executive recommendations.
A seven-theme supply chain investigation across 180,519 global orders covering sales by market, delivery performance, product profitability, discount impact, customer intelligence, shipping efficiency, and market loss exposure, with a structured Excel workbook and executive report.
An end-to-end clinical analytics project building and deploying a validated stroke prediction model across 5,109 patient records, covering feature selection, five classification models, hyperparameter tuning, and deployment via Vetiver API and Shiny.
A rigorous investigation into trial activation for a SaaS workforce management platform, analysing 966 trialling organisations across 28 behavioural activities, defining trial goals, building production-ready SQL data infrastructure, and surfacing critical product metrics.
Open to remote Junior Data Scientist and analyst opportunities globally. If you are looking for someone who delivers rigorous, professional, and clearly communicated analytical work, feel free to reach out.