A certified Data Scientist and Analyst with 7+ years of retail and FMCG experience. I combine machine learning, statistical modelling, and business intelligence to turn complex data into smarter decisions — using Python, SQL, Power BI, and scikit-learn.
If you're wondering…
I'm a DataCamp-certified Associate Data Scientist and Microsoft-certified (PL-300) Data Analyst with 7+ years of experience in fast-paced retail and FMCG environments. My journey spans managing a Sainsbury's store in Scotland — leading a team of 40, driving 24% year-on-year sales growth, and generating £945K+ monthly revenue — to executing trade marketing across 1,000+ outlets at ITC Limited in India.
Today, I combine that domain expertise with machine learning, statistical modelling, and data visualisation — building predictive models, customer segmentation pipelines, and interactive dashboards using Python, scikit-learn, SQL, and Power BI that don't just look good — they drive action.
Certifications & Credentials
By the Numbers
I'll let my work do the talking…
An end-to-end machine learning project predicting diabetes using Random Forest with GridSearchCV tuning, SHAP explainability, and model persistence.
A Power BI dashboard analysing Spotify performance across 2023–2024, uncovering listener trends, top artists, and song popularity to optimise promotion strategies.
A Power BI dashboard covering every IPL season from 2008–2022. Connected to MS SQL Server & PostgreSQL, with advanced DAX and time intelligence.
A Power BI dashboard built from 3,900 retail transactions across 50 locations, exploring customer shopping behaviour for loyalty, marketing, and subscription strategy.
An interactive Power BI dashboard analysing 8,500+ retail item records across outlet formats and locations for executive decision-making.
Built an interactive Power BI dashboard comparing YTD vs PYTD sales, gross profit, and quantity with instant metric toggling.
Advanced SQL on a multi-table retail dataset to extract purchase patterns, segment loyalty members, and track retention with Python visualisations.
A complete data pipeline in PostgreSQL — database creation, EDA, KPI calculation, and customer/product segmentation for business-ready reports.
Explored how developer compensation, satisfaction, and tech preferences vary by age, role, and geography using the Stack Overflow Survey.
Designed a relational database for library operations — book rentals, returns, stock management, and staff performance tracking.
I'd love to hear from you…
Whether you're looking for a data analyst, want to collaborate on a project, or just want to talk analytics and retail — my inbox is always open.
