Software Engineer
Email: mcmillianopondo@gmail.com
2021 - 2025: Degree in Software Engineering, Kisii University
2016 - 2020: High School, Agoro Sare High School
2007 - 2015: Primary School, MT Carmel School
Description: Designed and developed a cutting-edge Disease Prediction System, utilizing advanced machine learning algorithms and data analysis techniques to predict and detect various diseases with high accuracy. The system empowers healthcare professionals and patients with early disease identification, ultimately improving patient outcomes and reducing healthcare costs. It leverages patient data, including medical history, genetic factors, and lifestyle choices, to provide personalized disease risk assessments. Technologies Used: Python, Machine Learning, Data Analysis, Data Visualization, Flask (for web interface), SQL (for data storage), Scikit-Learn, Pandas, Matplotlib, Bootstrap, HTML, CSS
Technologies Used:
Programming Languages: Python, JavaScript Web Framework: Flask Machine Learning Libraries: Scikit-Learn, TensorFlow Data Analysis and Visualization: Pandas, Matplotlib, Seaborn Database Management: SQL, SQLAlchemy Front-End Development: HTML, CSS, Bootstrap Version Control: Git, GitHub Deployment: Heroku Data Sources: Electronic Health Records (EHR), Public Health Datasets API Integration: Integration of external data sources for comprehensive disease analysis