K I P K I R U I A M O S M U TAI
Contact: 075*******
Email: ************@*****.***
Address: P.O. Box 00100 Nairobi,
Kenya Languages: Fluent in
English and Kiswahili
Biostatistics professional with a strong foundation in machine learning and data analysis. Hands-on experience in developing predictive models, conducting statistical research, and extracting actionable insights from complex datasets. Skilled in collaborating with cross- functional teams to enhance data-driven decision-making, improve operational efficiency, and ensure quality standards. Proficient in leveraging analytical tools to optimize processes and drive innovation in healthcare and related industries. EXPERIENCE
Analyzed data at National Health Insurance Fund (NHIF), Ruiru from 2nd May 2024 to 5th July 2024.
Conducted in-depth analysis of healthcare and insurance data to identify trends and insights.
Utilized statistical tools such as Excel sheet and machine learning models to assess data accuracy and support decision-making.
EDUCATION AND QUALIFICATIONS
Bachelor’s Degree in Biostatistics
Jomo Kenyatta University of Agriculture and Technology main campus, Juja, September 2021.
Data Analytics programme-Digital World Tech Academy at Lagos, Nigeria.
Kenya Certificate of Secondary Education (KCSE)
Kaplong Boys High School (2017-2021)
TECHNICAL SKILLS
Machine Learning & Predictive Analytics
Statistical Modeling & Data Analysis
Big Data Processing & Visualization
SQL, Python, Excel and R
Healthcare Data Analytics
Data Cleaning & Preprocessing
Research & Technical Report Writing
Team Collaboration & Communication
KEY ACHIEVEMENTS
Designed a statistical framework to optimize healthcare resource allocation.
Conducted a quality audit that enhanced data compliance and reporting accuracy REFEREE
Mrs. Grace Nyaga; Ruiru NHIF Staff; Phone No +254********* Dr. Kissinger Ochieng; In Charge Of Industrial Attachment;Jkuat-070******* Mr. Gideon Cheruiyot; -High school Class teacher; Kaplong Boys-072*******