Data Scientist with 4+ years in Data Analysis & Predictive Modeling
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Data scientist and research professional with extensive experience in environmental data analysis, statistical modeling, and geospatial research. Skilled in designing, implementing, and analyzing complex datasets from field and sensor-based studies, including predictive modeling and machine learning applications. Adept at supervising field experiments, integrating multiple environmental datasets, and translating technical findings into actionable insights for research and policy. Experienced in scientific publication and stakeholder communication.
European School of Management and Technology (ESMT)
Postgraduate Diploma · Business Management
July 1, 2021 – August 1, 2022
African Institute for Mathematical Sciences (AIMS)
Masters of Science · Mathematical Sciences
September 1, 2020 – July 1, 2021
Taita Taveta University (TTU)
Bachelor of Science · Mathematics (Statistics) and Computer Science
September 1, 2014 – November 1, 2018
Anansi Technology
Data Scientist
December 1, 2022 – Present
India
NCBA Bank Kenya PLC
Data Scientist
February 1, 2022 – August 1, 2022
Kenya
Dalberg Research Limited
Data Processing Intern
November 1, 2021 – February 1, 2022
India
RBL Partners PLC
Data Analyst
April 1, 2019 – June 1, 2020
India
AWS Cloud Practitioner
Unknown
June 1, 2026 – Present
IBM Certification in Data Science Fundamentals
IBM
June 1, 2026 – Present
Analytics Vidhya Certification in Natural Language Processing
Analytics Vidhya
June 1, 2026 – Present
Udemy Certification: Correlations, Associations & Hypothesis Testing (with R)
Udemy
June 1, 2026 – Present
NASBA Excel Statistics Essential Training
NASBA
June 1, 2026 – Present
Spatial location, temperature and rainfall diversity affect the double burden of malnutrition among women in kenya.SSM - Population Health 16, 100939.
SSM - Population Health
January 1, 2021 – Present
Cultural Fit Analysis
The candidate's diverse project experience, ranging from environmental data analysis at Anansi Technology and Dalberg Research to financial modeling at NCBA Bank, demonstrates adaptability and a broad interest in applying data science across different sectors. Their academic background from multiple institutions (ESMT, AIMS, TTU) and certifications indicate a commitment to continuous learning and professional development. The mention of leadership and community involvement suggests a proactive and collaborative mindset, aligning well with a dynamic work environment.
Soft Skills & Operational Fit
The candidate's resume highlights experience in collaborating with research partners, mentoring junior researchers, and working with IT teams, indicating strong teamwork and communication skills. Their involvement in leadership roles (University Electoral Board, Mathematics Club) suggests initiative and organizational capabilities. The publication record also points to strong scientific communication and report writing skills.