- •Frontend: Angular (2+), Next.js, React, TypeScript/Javascript
- •Backend: Java, RESTful APIs
- •Databases: SQL (PostgreSQL), Firebase
- •DevOps & Tools: Git, GitHub, GitLab, Jira, Postman, Jenkins
- •Deloyments: Windows IIS, Linux Server
- •Data Science & Machine Learning: Python (NumPy, Pandas, Scikit-learn, TensorFlow, Keras), Supervised & Unsupervised Learning, Model Deployment (Flask)
Attended the event which discussed AI and emerging technologies which are transforming healthcare improving diagnosis, service delivery.
Did a presentation on Smart health - How IoT is Transforming Healthcare Delivery or Remote Patient.
I was part of the organizing team and handled the content creation and social media management.
Was part of the panelist team, that discussed the topic of Responsible use of AI.
Presented on “Data Science 101: The Necessary Skills”.
Delivered an Introduction to Data Science.
A depression Prediction Application that aims to provide a valuable resource in saving lives. It is named Nisikie which translates to "Hear Me" in Swahili, reflecting the app's goal of providing a platform for individuals to express their struggles with depression.