Rigorous with data. Human with the results.
I’ve never been particularly good at choosing just one thing to be interested in. In Computer Science, that has turned out to be useful.I’ve found myself moving between machine learning, software development, data, artificial intelligence, and research. Sometimes I do this because I have a problem I want to solve, and sometimes simply because I want to understand how something works.I love the process of going from “I wonder if this is possible” to actually building it and finding out.
Alongside my studies at the University of Nigeria, Nsukka, I’ve taught quantitative subjects to primary school pupils, led financial-literacy outreach as a Cowrywise Student Ambassador, and facilitated ML workshops for Women Techmakers Nsukka. Explaining complex ideas to different audiences is, I think, half the job, and honestly the part I enjoy most.
Experience & community
Where the work has happened.
2026
Student Ambassador
Championing financial technology literacy across university student communities.
2026
ML Workshop Facilitator
Hands-on machine learning workshops
- Ran hands-on ML workshops at International Women’s Day events
Oct 2024 – Jan 2025
Part-Time Teacher, Quantitative & Science
Translated complex quantitative concepts into clear, structured explanations for young learners.
2026
Volunteer
Supported event operations for one of south-east Nigeria’s largest tech gatherings.
Education & honours
Expected 2028
B.Sc. Computer Science
Coursework: Data Structures & Algorithms, Applied Statistics, Linear Algebra, Database Management Systems, Artificial Intelligence, Systems Engineering.
Certified
Certified Data Scientist with Python
Professional certification covering data modeling and statistical analysis in Python.
2025
Data Science Track, Cohort 3 Graduate (CareerEx)
Completed an intensive data science program, ranking 14th of over 1,000 learners.
2025
NSK.AI Bootcamp Graduate
Built and deployed RAG systems during training; hackathon project HomeTown Atlas placed 3rd overall.
2024
Regional Semifinalist, Technovation Girls Challenge
Developed AuthentiCheck MVP, a counterfeit detection concept.
2026
Slingshot Challenge 2026 - Honorable Mention
Awarded an Honorable Mention in the Slingshot Challenge for an innovative solution with real-world impact
- Co-built Project E-link to sensitize and empower students on the dangers of electronic waste
2026
Winner of Build with Gemma Hackathon
Co-built C.A.R.S a multimodal copilot engineered for crisis environment using Gemma 4 to triage disaster incidents and coordinate local rescue
2026
Fundamentals of Data Science in Precision Medicine and Cloud Computing
A foundational programme exploring data science, machine learning, statistical analysis, and cloud computing for precision medicine and biomedical research, with an emphasis on applying computational methods to healthcare and biomedical data.
- Successfully completed an introductory programme on Data Science, Precision Medicine and Cloud Computing with Stanford Medicine on Stanford Data Ocean
Toolkit
An inventory of instruments currently in use.
Languages & Querying
- LaTeX
- SQL
- Python
- NumPy · Pandas · Scikit-learn
Modeling & ML
- Hypothesis Testing
- Chi-Square
- SHAP Explainability
- Hyperparameter Tuning
- GridSearchCV
- Random Forests
- Gradient Boosting
- Logistic Regression
AI & Vector Systems
- LangChain
- Hybrid Search
- BM25 + Cross-Encoder reranking
- Vector Databases
- Pinecone · FAISS
- Retrieval-Augmented Generation
- HyDE
Deployment & Tools
- Render
- MongoDB
- Git & GitHub
- Streamlit
- Flask
- Gunicorn
- FastAPI
Want the short version?
My résumé and inbox are both open; reach out about roles, research or collaborations.