Project: Customer Segmentation in Banking using Machine LearningTools: Python (NumPy, Pandas, SciKit, MatPlotLib), Power BI, Excel - Conducted data mining, cleaning, and processing of datasets, optimizing data quality for analysis- Applied machine learning and clustering algorithms to perform precise customer segmentation- Created custom reports via Power BI, for actionable insights to improve business strategiesProject: Image classification using NVIDIA Jetson Nano- Data Analysis and AI Model Building- Deployment of software solutions in areas of computer vision, edge computing in relation to machine learning with Python

- Worked on a Research project on Circular Agro-Economy in collaboration with University of Rwanda - Data collection by visiting food and agriculture companies in Kigali, Rwanda and understanding how they're practicing circular economy practices

- Managed end-to-end dataflow, business intelligence, and reporting services, utilizing advanced data visualization techniques to optimize IT systems using Talend, SQL, Power BI- Data warehousing and led seamless integration of ETL pipelines from diverse sources, which improved data accessibility by 46%- Utilized JAVA, JSP, HTML, and database technologies for enhancing product functionality and features.

Database Migration on Salesforce.com using SQL, Stored Procedures and Microsoft SSIS

Designing and Modeling using Rational Rhapsody and Visual Basic