Global Green Energy
@globalgreenenergy
I build data products, predictive models, and AI evaluation pipelines that improve decisions, conversion, and system accuracy.
What I'm looking for
At Turing Enterprises, I lead analytics for large-scale AI systems, using KPI monitoring, RLHF, prompt refinement, and failure-pattern analysis to improve model performance. My work contributed to an 11.51% increase in base-model task-solving accuracy, from 26.7% to 38.21%.
I've built data pipelines, dashboards, segmentation models, and experimentation frameworks at Greenpeace International, Code for Africa, Nesta, and Udacity. Across marketing, public policy, customer behavior, and misinformation projects, I've turned multi-source data into practical recommendations, including improving NGO staff efficiency by 43% and increasing conversion by 2%.
I bring 7+ years of experience in SQL, Python, BI reporting, data quality, predictive modeling, and stakeholder-facing analytics. I enjoy making complex results clear, improving operational workflows, and building reliable data products that teams can use to act quickly.
Experience
Work history, roles, and key accomplishments
Senior Data Scientist
Turing Enterprises Inc.
Sep 2024 - Jun 2026 (1 year 9 months)
Led analytics initiatives for performance measurement, experimentation, and LLM optimization, improving system accuracy through KPI monitoring and analytics-driven optimization. Orchestrated RLHF processes, authored Chain-of-Thought prompts, and contributed to an 11.51% improvement in task-solving accuracy.
Worked at the intersection of data analytics, business strategy, and marketing performance, supporting data-driven decision-making across global teams. Designed a modern data platform, developed analytical frameworks, and created dashboards for strategic planning.
Data Scientist
Code for Africa
Aug 2022 - Jan 2023 (5 months)
Built SQL and Python data pipelines for automated data extraction and integration, developed customer segmentation models using clustering and topic modeling, and created BI dashboards for monitoring socio-economic impacts. Conducted A/B testing to optimize campaigns.
Applied econometric modeling to address misinformation in African development contexts, improving stakeholder responsiveness to COVID-19 issues. Built predictive models, conducted web scraping, and produced dashboards on regional economic indicators.
Conducted customer segmentation and behavioral analytics on telecom datasets, developed a data warehouse using Snowflake, and performed A/B testing to optimize user journeys. Reviewed over 500 student projects as lead mentor.
Software Engineer
Go-Groups Ltd.
Sep 2015 - Nov 2017 (2 years 2 months)
Designed and developed data-driven applications supporting economic analysis and reporting. Led a software development team in deploying web-based applications, upgraded existing software, and conducted training sessions.
Education
Degrees, certifications, and relevant coursework
University of Rwanda
Master of Science, Data Science
Grade: Distinction
Master of Science in Data Science with a focus on Data Mining, awarded with Distinction.
University of Buea
Bachelor of Engineering, Computer Engineering
Grade: First Class
Bachelor of Engineering in Computer Engineering, graduated with First Class honors.
University of Yaounde I
High School Teachers' Diploma, Physics
High School Teachers' Diploma with a major in Physics.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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