Industrial Chemist | Process Optimization | Data Analytics
Results-driven Industrial Chemist with 5+ years’ experience in synthetic resin manufacturing. Proven track record in process optimization and quality control, adept at collaborating with cross-functional teams to innovate formulations, troubleshoot production challenges, and deliver products exceeding quality specifications.
Watch a brief video introduction about my background and goals.
Synresins Kenya Ltd – Nairobi, Kenya
February 2020 – Present
Ministry of Petroleum and Mining – Directorate of Geological Surveys Laboratories | Nairobi, Kenya
July 2019 – October 2019
I am a data enthusiast with a background in Industrial and Applied Chemistry and a strong passion for data science. My journey has been fueled by curiosity—starting in the lab, analyzing chemical data, and now exploring insights from large datasets.
Most of my time is spent working with data—cleaning, analyzing, and building predictive models. My skills include data analytics, visualization, machine learning, and predictive modeling. I have a keen eye for detail and enjoy solving complex problems, whether through structured data preprocessing or deriving actionable insights.
Beyond work, I am constantly learning. I have been self-teaching data science through platforms like YouTube, Google Data Analytics, and online courses including ALX and MOOCs. My learning process involves building projects, experimenting with real-world datasets, and tackling challenges on platforms like Kaggle.
When I'm not coding, I enjoy sharing knowledge. I document my learning journey, explore open-source projects, and aim to contribute to the data science community through tutorials and mentorship. Check out my projects, experience, and certifications throughout this site. Feel free to explore my GitHub repositories and connect with me on LinkedIn!
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I'm always interested in discussing new opportunities, collaborations, or projects related to data science and industrial applications. Feel free to reach out!