Managing, developing, and designing data warehousing solutions. Improving business solutions and patient data management through working with data scientists and business analysts to understand data requirements, develop data architectures, schemas, models to facilitate efficient data analysis, retrieval, and storage

- I worked on independent projects requiring data analysis, data visualization, and automation using Excel tools, Pandas, Jupyter Notebook, CVS files, and Python. - I also worked on machine learning projects such as data training and clustering, data imputation, data preprocessing, gained experience working with PyTorch, Tensorflow, Scikit Learning, and other machine learning modules. - I researched recent developments in data science, and use the knowledge gathered to develop solutions to different problems.

Developed an android app educating farmers and how to timely cultivate their crops based on the changing seasons. I worked in a team of two to brainstorm solutions to challenges hindering sustainability in Kenya, famine and drought being one of the issues. The android app aimed at improving sustainability through boosting agricultural production.

Training high school students to develop technology based solutions to meet SDG goals in Kenya. My roles included mentoring high school girls in choosing careers wisely, especially those interested in Technology, and assisting them in developing mobile applications that solve sustainable development goals.Through this role my team was ranked at the third position in the region, for developing the Akili Dada app, a mobile application that empowers young girls through education.