Oyindamola Babatunde

Oyindamola Babatunde ï www.linkedin.com/in/oyindamola-babatunde-/ § github.com/Oyindams RESEARCH INTERESTS Data Analysis — Computer Vision — Machine Learning — Human-Computer Interaction — Multimodal Behaviour Learning —Social Signal Processing EDUCATION McPherson University Oct. 2022 – July 2026 Bachelor of Science in Computer Science CGPA: 4.43/5.0 Relevant Coursework: Introduction to Problem-solving, Statistics, Data Structures & Algorithm, Discrete Structures, Operating systems,Human-Computer Interaction. EXPERIENCE Huawei Technologies, Nigeria March, 2025 - August, 2025 Undergraduate Internship Lekki, Lagos • Collaborated with radio frequency (RF) engineers to support nationwide spectrum optimization and network quality improvement for over 30 States in Nigeria. • Configured and optimized 30+ new and existing cellular sites under the Configuration team, improving network readiness and reliability. • Coordinated MTN RF optimization, assigning tasks to multiple drive test engineers, validating results, and producing post-drive test reports used for executive decision-making. • Planned and implemented 50+ neighbor relations to ensure seamless handovers, reducing dropped calls rate. Teltwine Networks Limited July, 2024 - October, 2024 Network Operation Centre Intern Ajah, Lagos • Worked in a team environment to manage and monitor 100+ client networks, also assisted in the configuration of clients’ network systems, ensuring seamless and efficient internet service. • Monitored client networks in real time, identifying and troubleshooting issues related to outages,latency and disruptions contributing to a 90% uptime across services.. • Coordinated with internal teams to resolve network outages swiftly, ensuring minimal downtime and high clients. PROJECTS Traffic Prediction Model | Python, Machine Learning Algorithms June, 2024 • Built a machine learning model to predict traffic patterns suing historical data, by engineeriime-based features. • Compared Linear regression, Random Forest and KNN to evaluate predictive performance. Heart Diseases Prediction Model | Python, Machine Learning Algorithms September, 2024 • Evaluated ensemble classifiers (Random Forest, LightGBM, CatBoost) on a dataset of 7,300 patients to predict the likelihood of heart disease. • Implemented feature selection (age, cholesterol,etc.) and fine-tuned hyperparameters, achieving high accuracy on imbalanced data Language Translation Model | Python, Machine Learning, Neural Networks October, 2024 • Created a mT5 English–Yoruba machine translation model using simpleTransformer architecture. • Evaluated performance using sacreBLEU to ensure translation accuracy and generalization across validation/test sets. Loan Creditworthiness Prediction Model | Python, Machine Learning Algorithms November, 2024 • Developed a machine learning model to assess loan creditworthiness and achieving an accuracy of 83%. • Developed end-to-end ML pipeline through ensemble methods and hyperparameter optimization. • Integrated SHAP (SHapley Additive exPlanations) values to provide feature importance analysis and model transparency for stakeholder communication. Retrieval Augmented Generation Model | Python, Machine Learning Algorithms October, 2025 • Built a RAG pipeline using using LangChain, FAISS, and Sentence Transformers for Nigerian Tax Law. • Integrated Hugging face open-source LLM (Mistral-7B) to generate accurate responses grounded in the tax documents. CONFERENCES / WORKSHOPS ATTENDED • • • • • • Rakuten Technology Conference AWS Community Builder PyCon Nigeria GITEX Africa, Nigeria The Open Source Community Africa (OSCA) Festival The Data Science Nigeria (DSN) AI Bootcamp November, October, October, September, August, October, - SKILLS Programming Languages: Python, C, HTML/CSS, SQL Developer Tools: VS Code, Jupyter Notebook, Google Colab, Kaggle Technologies/Frameworks: SciPy, scikit-learn, TensorFlow, GitHub, PyTorch Specialties: Machine Learning, Generative AI, Microsoft Azure Soft Skills: Teamwork and Collaboration, Effective Communication, Strategic planning, Strong Analytical Ability, Problem Solving, Attentiveness to details LEADERSHIP / EXTRACURRICULAR DSN AI Community November, 2024 – Present Campus Lead McPherson University • Led the organization of 5+ webinars and meetups featuring top tech professionals. • Motivate members to actively participate in hackathons and building projects and sharing knowledge. • Worked with members to aim towards goals that improve and promote community service, academics, and unity. College of Computing November, 2023 – Feburary, 2024 Academic Tutor McPherson University • Mentored 7 junior computer science students through one-on-one guidance, leading significant improvement in their grades and confidence. • Assisted 4 first-year students with understanding course materials, and offering guidance on assignments. AWARDS & RECOGNITION • • • • Data Science Nigeria (DSN): First Place Winner, In-house Bootcamp Hackathon 2024 Data Science Nigeria (DSN): Best Female Award, Bootcamp Qualification Hackathon 2024 McPherson University: Dean’s Roll of Honor Award, x2 2024 METI Japan AI/IT Internship: Selected as a funded attendee. (One of 50 selected out of 14,000 applicants). Currently on a six-week training in Japan. 2025