Samuel Wahome

Samuel Wahome Michinji

Data Scientist | Industrial Chemist | Process Optimization Enthusiast

Bridging the gap between Industrial Chemistry and Data Science, I specialize in extracting insights, optimizing processes, and driving efficiency through data-driven decision-making. With a strong foundation in chemical analysis and a growing expertise in predictive modeling, I am passionate about leveraging data to solve real-world industrial challenges and enhance operational performance.

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Work Experience

Production Operator

Synresins Kenya Ltd – Nairobi, Kenya

February 2020 - Present

Operated and monitored resin production processes, ensuring adherence to safety (OSHA) and quality (ISO) standards.
Collaborated with cross-functional teams to analyze workflows and implement optimizations, contributing to a 15% reduction in downtime.
Conducted quality control tests on raw materials and finished products, ensuring compliance and documenting results.
Applied Kaizen methodologies for continuous improvement, resulting in a 10% increase in production efficiency.

Industrial Chemist (Intern)

Ministry of Petroleum and Mining – Geological Surveys Laboratories – Nairobi, Kenya

May 2019 – August 2019

Conducted chemical analysis of mineral samples using AAS, XRF, and UV-Vis Spectrophotometry, supporting national geological surveys.
Assisted in the calibration and maintenance of laboratory instruments.
Compiled and documented detailed analytical reports for stakeholders.

About Me

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!

Skills

Technical & Data Science

Data Analytics: Python (Pandas, NumPy), SQL, Power BI, Excel
Data Visualization: Power BI, Matplotlib, Seaborn, Plotly
Machine Learning: Scikit-learn, TensorFlow (Regression, Classification, Clustering, Model Optimization)
Programming: Python, SQL
Databases: PostgreSQL, MySQL
Tools: Git, GitHub, Kaggle, Jupyter Notebooks, Google Colab

Industrial & Process Optimization

Industrial Chemistry: Chemical Process Analysis, Raw Material Testing, Product Formulation
Process Optimization: Lean Manufacturing, Six Sigma, Data-Driven Efficiency Improvements
Quality Control: ISO Standards, Statistical Process Control (SPC), Root Cause Analysis
Laboratory Analysis & Instrumentation: AAS, XRF, UV-Vis Spectroscopy, Titrations

Professional & Soft Skills

Analytical Problem Solving: Identifying inefficiencies and applying data-driven solutions
Project Coordination: Managing tasks, meeting deadlines, and optimizing workflows
Team Leadership & Collaboration
Mentorship & Training: Knowledge sharing, coaching junior team members
Reporting & Documentation: Technical report writing, data interpretation
Industrial Safety: OSHA Compliance, Risk Assessment, Safety Protocol Implementation

Projects

AI Job Match Platform

This AI-powered platform connects job seekers with opportunities based on skills, experience, and industry demand. It leverages predictive analytics to recommend personalized career paths and learning resources.

Technologies:

GitHub Repo Live Demo

HarambeeCoders (Example Project)

An online platform providing mentorship and learning resources for aspiring developers, featuring an interactive coding environment, community forums, and GitHub integration.