Peter Murimi Email & Phone Number

Achievements:- Formulated and implemented credit risk models, including knowledge based models.- Applied Machine Learning algorithms such as Random Forest and Gradient Boosting to develop Statistical Models.- Building and maintaining reports and Dashboards using Tableau to communicate insights to clients and help them make informed business make decisions.- Processing, cleaning and validating data using tools like R and Python to ensure integrity for analysis and decision making.- Used SQL database to analyze customer and marketing data to improve the performance of marketing campaigns by 30%.- Utilizing Google Cloud Platform for scalable and efficient cloud based solutions.

Kenya

Roles:- Design of data collection tools using Survey solutions.- Data querrying and cleaning by flagging of inconsistencies and performing data routine checks using R studio- Managing databases - Data exploration,analysis and generation of reports- Ensure data accuracy and completeness by conducting thorough quality checks.

Nairobi County, Kenya

Roles:- Develop strategies, skills, tools, and techniques in order to effectively teach science, technology, engineering, and math to students between the age of 8-18.- Teaching programming to young scientists through Microsoft Makecode(microbit) Platform.- Imparting technological skills(Emerging technologies) to educators that included High school and Primary school teachers.- Taught coding and STEM concepts to students aged 6-18 in individual and group settings.- Designing and developing training programs: Work with the Lead Trainer to design and develop training programs for various edtech products.- Ensuring training programs are aligned with the latest technology trends and teaching methodologies.

Chuka, Tharaka-Nithi, Kenya

Roles:- Developed analysis and forecasting models for loan applications. - Built relationships with various departmental leadership and their teams to understand business context, defining analytics solutions that are an excellent fit to their eveolving needs.- Utilized Pandas and SQL to clean and preprocess data, achieving a data quality improvement of 18% and less data cleaning time.- Designed interactive dashboards in Tableau to visualize KPI's leading to improved decision making process.- Cleaned and prepped data using SAS and Excel to help data scientists build marketing mix models that resulted in 10% increase in Return on Investment(ROI).

Master Of Science - Ms, Statistics

Mathematics And Computer Science, Statistics

Activities and Societies: MMU CIT CLUB, MMU President's Award ChapterModules: