Seasoned Data Scientist with a proven track record of effectively handling large datasets, analyzing information, and offering insights into intricate business challenges. Skilled in distribution, predictive, and hypothetical modeling. With over 2 years of pertinent experience as a Data Analyst at the Kenya Revenue Authority and Kenya National Bureau of Statistics, I have significantly enhanced organizational operations. Holding an undergraduate degree in Mathematics & Economics, complemented by my ongoing Master of Science in Data Science, I bring a strong academic foundation to my role. My passion extends to Robotic Process Automations (RPAs), Machine Learning, and AI. I possess the ability to handle multiple tasks concurrently and efficiently utilize resources to meet deadlines. I excel as a collaborative team player with a focus on achieving high performance and results.
Developed the South Rift Valley Region Revenue Performance Dashboard, seamlessly integrating it with Power Query to automate the cleaning and analysis of daily payments data extracted from Jaspersoft software across different tax heads and TSOs/Region performance. This initiative significantly reduced the time and effort required for data cleaning and analysis while eliminating human errors associated with manual processes through automation.
Advisor - Graduate Coordinator, Data Science
Minnesota State University, Mankato
Email: rajeev.bukralia@mnsu.edu