I'm Adediran Adeyemi, Freelance Data Scientist & AI/ML Engineer
I help e-commerce and retail businesses turn their data into decisions that generate measurable revenue. Based in Nigeria, working remotely worldwide.
My Story
Most e-commerce and retail businesses aren't short on data, they're short on the clarity that data should produce. I became a data scientist because I kept watching businesses sit on gold mines of customer and transaction data, making gut-feel decisions that cost them revenue, customers, and growth.
Over the past five years, I've built machine learning systems that predict customer churn 60 days before it happens, identified $500K in annual cart abandonment losses for online stores, and built Power BI dashboards that leadership teams open every single morning. The common thread isn't the technology, it's that every project starts with a business question, not a model choice.
My work spans the full data science stack: from scraping and cleaning raw data, to building and deploying predictive models, to visualizing insights in interactive dashboards. I've worked across industries, e-commerce, retail, fintech, real estate, and EdTech, and I've learned that the fundamentals are always the same: understand the business, understand the data, and build something that changes a decision.
Beyond client work, I build for domains I care about. My Yoruba-English translation model is a small contribution to the growing ecosystem of African language NLP. My Nigerian used car pricing model exists because most Nigerians buy used cars but have no reliable pricing reference. My Chicken Republic location analysis started as curiosity about how a Nigerian brand expands, and became one of the most-read pieces I've written.
I'm based in Nigeria and work remotely with clients worldwide. If you have data and a revenue problem you can't solve, I'd like to hear about it.
What I Specialize In
Four deep areas of expertise built over five years of e-commerce, retail, and fintech analytics work.
Business Intelligence & Power BI
Building dashboards that connect messy multi-source data into a single view your team actually opens every day. DAX, Power Query, data modeling, star schemas.
Predictive ML & Churn Prediction
Production machine learning models, churn prediction, lead scoring, price prediction, demand forecasting, that run in real environments, not just Jupyter notebooks.
NLP & Text Analytics
Multi-label classification, sentiment analysis, RAG systems, and language model fine-tuning, including low-resource African language NLP.
Customer Analytics & Segmentation
RFM analysis, cohort analysis, customer lifetime value modeling, and behavioral segmentation, turning transaction history into strategic customer intelligence.
Technical Skills
Machine Learning & AI
- Python (NumPy, Pandas, Scikit-learn)
- LightGBM, XGBoost, CatBoost
- PyTorch & Hugging Face Transformers
- LangChain & RAG Systems
- Sentence Transformers & Embeddings
- SHAP & Model Explainability
Business Intelligence
- Power BI Desktop & Service
- DAX, Complex Measures
- Power Query (M Language)
- Star Schema Data Modeling
- SQL (MySQL, PostgreSQL)
- Google Analytics Integration
Deployment & Infrastructure
- Flask & FastAPI
- Docker & Docker Compose
- Hugging Face Spaces
- Streamlit
- Zilliz / Milvus Vector DB
- Web Scraping (Beautiful Soup)
How I Think About Data Science
Start with the Business Question
The model choice is always secondary. Understanding what decision the analysis needs to support, and for whom, determines everything else. I spend more time on scoping than on coding.
Ship Working Solutions, Not Perfect Ones
A deployed model with 80% accuracy that runs in production generates more value than a 95% accuracy model living in a Jupyter notebook. Iteration beats perfection every time.
Explain Everything
If a business team can't understand why the model is recommending what it recommends, they won't trust it, and they'll be right not to. Explainability isn't a nice-to-have, it's a requirement.
Never Lock Clients In
Every project I deliver includes documentation so thorough that you never need to come back to me unless you want to. Self-sufficiency for the client is a success metric, not a threat to my business.
Beyond the Work
African Language NLP
I believe African languages deserve the same quality of language technology as English and French. My Yoruba-English translation model is part of a broader personal commitment to building for underrepresented languages.
Writing & Analysis
I publish data-driven analyses on Medium, from the Chicken Republic expansion strategy to customer retention frameworks. Writing forces clarity of thinking that makes the data science better.
Nigerian Market Intelligence
Nigeria is one of Africa's most complex and most under-analyzed markets. I build projects specifically for Nigerian data, used car pricing, restaurant expansion, fintech, because local market intelligence matters.
Let's Turn Your Data into Revenue
If you have a data problem in your e-commerce or retail business, I'd like to hear about it. First conversation is free, no pitch, no obligation.