Kamau Wainaina
@kamauwainaina
Data scientist and AI practitioner skilled in ML, prompt engineering, and data-driven solutions.
What I'm looking for
I am a data scientist with hands-on experience training multimodal AI, building dashboards, and delivering actionable analytics for NGOs and research projects.
At OpenAI I contributed to training a multimodal model by authoring and refining 5,000+ detailed prompts, designing image-plus-text tasks, and ensuring prompt clarity and edge-case coverage to improve model reasoning.
I built backend data pipelines and visualizations for an award-winning RShiny opioid dashboard, and developed production-ready APIs and scalable MongoDB architectures for an EdTech solution that received Forbes recognition.
I enjoy turning complex data into practical impact—matching mentors to 1000+ vulnerable adolescents, informing organizational decisions with advanced analysis, and creating tools that improve access to information and learning.
Experience
Work history, roles, and key accomplishments
Contributed to training a multimodal AI model by authoring and refining 5,000+ prompts combining image and text inputs to improve reasoning and robustness across technical domains.
Data Analyst
Hope Worldwide Kenya
Jun 2022 - Feb 2023 (8 months)
Analyzed large-scale datasets using Excel, Python, and R to classify vulnerabilities and optimize mentor assignment, improving targeted aid delivery for 1,000+ adolescent girls and young women.
Data Scientist (Capstone)
Opioid Policy and Data Dashboard
Jan 2021 - May 2021 (4 months)
Led backend data collection, cleaning, and integration for an award-winning RShiny dashboard visualizing opioid epidemic data and collaborated on front-end static pages.
Software Engineer (Student Project)
Nittany Artificial Intelligence Challenge
Aug 2019 - Sep 2020 (1 year 1 month)
Developed an EdTech solution with a scalable MongoDB backend and high-performance Node.js API to serve curriculum-aligned interactive learning resources, winning the NittanyAI challenge.
Education
Degrees, certifications, and relevant coursework
Pennsylvania State University, University Park
Bachelor of Science, Data Science
Activities and societies: Relevant coursework: Machine Learning, Artificial Intelligence, Deep Learning, Computer Vision, Database Management, Big Data Analytics, Stochastic Modelling, Data Structures & Algorithms, Privacy & Security, Software Engineering.
Completed a Bachelor of Science in Data Science with a Computational Data Sciences focus, covering machine learning, AI, databases, big data analytics, and software engineering; graduated May 2021.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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