Professional Overview
I'm a junior Data Scientist and AI Engineer based in Lomé, Togo. I build data pipelines, dashboards and retrieval (RAG) systems in Python, and I measure what I build. I can help you with: • Data cleaning, SQL analysis and dashboards (Streamlit, Plotly) • Data pipelines and warehouses (BigQuery, dbt) • Document Q&A / RAG prototypes with citations and evaluation • NLP tasks: text classification, sentiment analysis • Python automation scripts What I've built: • Stablecoin Intelligence Warehouse: a BigQuery + dbt warehouse tracking USDC, USDT and DAI flows, with a Streamlit/Plotly dashboard and automated runs via GitHub Actions. • Hybrid Search RAG: document Q&A combining a Chroma vector index, BM25 and cross-encoder re-ranking, with answers cited by file and page. On my test set, Recall@1 went from 0.80 (vector-only) to 1.00. • Graph RAG: multi-hop Q&A over a Neo4j knowledge graph, with read-only Cypher and source passages attached to every answer. • ML internship (Future Interns): sales forecasting, IT ticket classification (86.2% accuracy) and an explainable candidate-screening model (P@5 = 0.92). • SentimentScope: sentiment analysis with transformers on IMDB reviews.
Areas of Expertise
Data Science & Analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
