This project, funded by COSTECH, involved leading a team as the Lead Data Scientist. I successfully oversaw the collection of datasets and the development of an AI-powered tool designed to detect mental health issues using predictive analytics. The model was trained on over 7,000 mental health records.

Technologies Used: Deep Learning, IoT.

Project Site: https://ai4mh.or.tz

Led the development of AI-driven solutions for healthcare challenges at AI4D Lab, focusing on predictive analytics and data science innovations in health, Agricultural and climate sectors. This project is Funded by SIDA The Swedish International Development Cooperation Agency(SIDA) and International Development Research Centre.(IDRC).

Technologies Used: Python, Machine Learning, Data Science.

Description: Provided data-driven insights for business growth and strategic decision-making, helping clients optimize performance based on analytics.

Technologies Used: Python, Business Intelligence tools (Power BI), SQL, Apache spark

GitHub Repository

This project is a Breast Cancer Diagnosis Tool developed using Streamlit, a Python library for creating web applications. The tool predicts the malignancy of a breast tumor based on various input features using a machine learning model trained on a breast cancer dataset.

GitHub Repository

Web App

This project involves analyzing the purchasing behavior of 2,000 individuals from an FMCG store using customer loyalty card data. The dataset includes various attributes such as sex, marital status, age, education, income, occupation, and settlement size.

GitHub Repository

This project focuses on analyzing data related to Amazon Prime TV content to derive meaningful insights and visualizations. It provides an analytical report with various visualizations showcasing trends and patterns

PDF Report Link: Download Report