I am a versatile interdisciplinary Data Scientist and Statistician with a unique skillset in statistical modeling, data analysis, and DevOps. Over the course of my professional career, I have had the privilege to make impactful contributions to both industry and academia.
With a track record in deploying and maintaining data pipelines through MLOps and DevOps practices, I develop database-driven methods and software solutions tailored to the unique needs of clients in the energy sector. My expertise lies in implementing data science and predictive analytics pipelines and optimization strategies to enhance statistical efficiency and quality.
As a data scientist researcher, I focused on infectious diseases such as malaria. I developed several statistical models and tools customized to meet the requirements of scientists and agencies in the health sector.
My goal as a data scientist is to harness the potential of data-driven solutions, ultimately transforming data into knowledge and value.