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Batbaina/README.md

👋 Hi, I'm Batbaina Guikoura

Computer Scientist | Junior Data Scientist | AI for Impact

I'm passionate about applying machine learning, data science, and software engineering to solve real-world problems—especially those impacting Africa’s development. With hands-on experience in ML algorithms, data analysis, and generative AI, I combine strong technical foundations with a commitment to innovation and community.

🚀 Skills & Technologies

  • Languages: Python, Java
  • Libraries: Pandas, PyTorch, Scikit-learn
  • Tools: Mlflow, Docker, Airflow, PowerBI, GitHub, Postman, MySQL, Flask, AWS, ODK
  • Competencies: Machine Learning, Data Science, Optimization, Software Engineering (Apps/Web/APIs), Generative AI
  • Languages Spoken: English, French

🌱 Education

  • Master’s in Applied Mathematics (Data Science) (AIMS Cameroon, Aug 2023–Feb 2025)
  • Master’s in Computer Science (University of Ngaoundéré, Feb 2023)
  • Bachelor’s in Computer Science & Mathematics (University of Ngaoundéré, Jun 2020)

🛠️ Projects & Research

  • Autoencoder-based Plant Disease Detection
    Developed a model for early detection of abnormal plant leaves—improving agricultural diagnostics.
  • Optimizing Crop Rotation Profit Margin
    Modeled and optimized agricultural resource allocation using genetic algorithms.
  • Diool Transaction Analysis API
    Designed ML models and RESTful middleware to analyze user trends for financial services.
  • Limbe Municipality App
    Built an application to improve public services in Cameroon.

🏆 Achievements & Certifications

  • Winner, Indaba X Chad Hackathon (Rice Disease Detection, 2024)
  • Postman API Fundamentals Student Expert (2024)
  • Mastercard Foundation Scholar (AIMS Cameroon)
  • Excellence Prize, Chad’s Best Baccalaureate Graduates
  • EO College Certificate: ML for Earth Observation

📚 Conferences & Community

  • Attendee: Harnessing Data Science & AI for Sustainable Development (AIMS, 2024)
  • Advanced ML for Earth Observation (EO College, 2024)
  • Volunteer: Orphanage assistance, Limbe Municipality public services app

💬 Connect with Me

⚽ Hobbies

Reading, Football, Basketball, Music

“In Africa’s Youth, the Future of Science.”
Dedicated to using technology for positive social impact.

Popular repositories Loading

  1. Comparaison-of-differents-types-of-Naive-Bayes- Comparaison-of-differents-types-of-Naive-Bayes- Public

    This project present the differents types of Naive Bayes algorithm, which is a probabilistic machine learning algorithm based on Bayes’ theorem by making also the comparison between the different t…

    Python

  2. Optimizing-Drug-Delivery-in-Biomedical-Engineering Optimizing-Drug-Delivery-in-Biomedical-Engineering Public

    This project consist of using optimization method to tacles the problem of Drug delivery. The objective of optimizing drug delivery systems is to maximize drug concentration at the target site whil…

    Jupyter Notebook

  3. Exploratory-data-analysis-EDA-and-the-development-of-classification-models-for-predicting-obesity Exploratory-data-analysis-EDA-and-the-development-of-classification-models-for-predicting-obesity Public

    This work focuses on exploratory data analysis (EDA) and the development of classification models for predicting obesity. The primary objective is to gain insights from the data through EDA and the…

    Jupyter Notebook

  4. ONE-FACTORS-EXPERIMENTS-DESIGN-ON-HEALTH-AND-AGRICULTURE-DATASET-CRD-RBD-LSD- ONE-FACTORS-EXPERIMENTS-DESIGN-ON-HEALTH-AND-AGRICULTURE-DATASET-CRD-RBD-LSD- Public

    This work consists of applying ONE FACTORS EXPERIMENTS DESIGN on the Health and Agriculture data set taking an account the Completely Randomized Design (CRD), Randomized Block Design (RBD) and Lati…

    Jupyter Notebook

  5. Artifical-Neural-network-from-scratch-on-calo-shower-data Artifical-Neural-network-from-scratch-on-calo-shower-data Public

    This work consists of the implementation of the Artificial Neural Network (ANN) from scrath on calo shower data related to particule physic.

    Jupyter Notebook

  6. Convolutional-neural-network-CNN-for-images-classification-into-RealWaste-data-set Convolutional-neural-network-CNN-for-images-classification-into-RealWaste-data-set Public

    In this work we will explore Classification of images using Convolutional neural network (CNN).

    Jupyter Notebook