Artificial Intelligence Lead
Led AI-powered workflow automations, GPT-based assistants, and chatbots embedded into client web platforms.
Impact
~4 hrs saved per product-upload cycle
Data Scientist · BI · AI Automation
I am a Data Scientist and BI builder with hands-on experience across Python ML, Excel, Power BI, and AI-agent automation. I bridge analytics and engineering to ship insights teams actually use.

Zindi rank
32/307
Sites shipped
10+
01 — Data Science Projects
End-to-end data science and AI engineering focused on actionable insight, automation, and measurable outcomes.
A human-in-the-loop AI agent that reads competition briefs, analyses datasets, trains models, and ships submissions on approval — driven from Telegram.
Extracts market data from CoinPaprika, transforms with Pandas, loads into PostgreSQL via SQLAlchemy, and reports through Power BI.
Star-schema model and DAX-driven Power BI dashboard tracking stock, expiries, prescription volume, and supplier performance.
Production-style Scikit-learn pipeline — encoding, imputation, Ridge regression — predicting apartment prices across five merged datasets.
Cleaned and explored Brazilian listing data to surface pricing, geographic, and feature relationships through Plotly and Seaborn.
Cleaned and aggregated Jumia-style ecommerce data into pivot-driven dashboards covering segments, revenue, and purchase frequency.
02 — Work Experience
Selected roles and work that was shipped and the impact caused.
Led AI-powered workflow automations, GPT-based assistants, and chatbots embedded into client web platforms.
Impact
~4 hrs saved per product-upload cycle
Shipped event, ecommerce, and organisational platforms end-to-end — including the GGAA Conference registration system with Pesapal payments.
Impact
~1,500 registrations · 1,000+ tickets processed
Built and maintained the organisation's WordPress presence, hosting, domain email, and security infrastructure.
Impact
10+ production sites shipped & maintained
03 — Technical Articles
04 — Skills
The toolkit, grouped by where it lives in the data lifecycle.
05 — Contact