Hello, I'm
Transforming raw data into actionable insights
Driven by an insatiable curiosity and a relentless commitment to solving complex technical and business challenges, I bridge the gap between mathematical concepts, analytics, and data-driven insights. My journey is fueled by transforming raw datasets into intuitive visual platforms that optimize operational performance and strategic decision-making.
With expertise spanning interactive dashboard development, market intelligence, and predictive modeling, I specialize in end-to-end data workflows. From data pipeline architecture to crafting web applications, I have experience working with Python, R, SQL, Streamlit, Plotly, and Data Collection to deliver clear, actionable solutions for businesses.
Laikipia University | Nyahururu, Kenya (2015 – 2019)
Top 5 in class (GPA: 67/100). Specialized in quantitative coursework, probability, databases, and statistical computing.
Coursera (Oct 2022 – Nov 2022)
Completed 400+ hours of rigorous coursework covering machine learning, data visualization, and applied data science capstones.
Coursera (Mar 2021 – Jul 2021)
Completed 300+ hours of training focused on exploratory data analysis, data cleaning, and decision-making frameworks.
An interactive dashboard analyzing investor participation and insights from Kenya Pipeline Company IPO data.
An interactive analysis of loan portfolio distribution, risk, profitability and predictive insights.
Data analysis project focused on understanding logistics operations and identifying insights from delivery data.
Interactive R Shiny dashboard for exploring university ranking data and performance indicators.
Interactive R Shiny dashboard for simulating pricing strategies and visualizing customer segmentation insights.
Analysis of customer churn patterns using a telecom dataset through visualizations and descriptive statistics.