Data Scientist & Power BI Developer
Currently at Spin-Knit Ltd · Nakuru, Kenya
Transforming complex datasets into strategic insights through Machine Learning, AI Automation, and compelling Power BI dashboards. End-to-end data expertise that drives measurable business outcomes.
I am a results-oriented Data Scientist and Power BI Developer with over four years of progressive experience in transforming raw data into strategic business intelligence. Currently serving as a Data Scientist/Analyst at Spin-Knit Ltd in Nakuru, Kenya, I bring a unique blend of technical depth and business acumen to every project.
My expertise spans the full data lifecycle — from SQL database design and data extraction, through statistical modelling and machine learning, to production-ready Power BI dashboards that empower decision-makers. I take pride in building solutions that are not just analytically sound, but genuinely actionable.
As an AI Agent Engineer, I have engineered NLP-driven automation systems, designed neural network architectures, and deployed intelligent pipelines that measurably improve operational efficiency. I am passionate about using data to tell stories that matter and drive the next big decision.
Academically grounded in Computer Science from Kisii University, and holding multiple industry certifications including IBM's Applied Data Science Capstone, I continuously invest in staying at the forefront of the evolving data science landscape.
Data Scientist / Analyst at Spin-Knit Ltd, Nakuru — delivering data-driven insights across manufacturing and operations.
Expert-level Power BI development using advanced DAX, Power Query, and data modelling for executive dashboards.
Architecting and deploying AI agents, NLP solutions, and ML pipelines for intelligent workflow automation.
Proficient in SQL database design, complex query optimisation, and data pipeline engineering at scale.
A comprehensive toolkit built over years of freelance work and professional practice across data, AI, and visualisation.
Expert-level DAX, Power Query, data modelling, and interactive dashboard design for enterprise reporting.
Advanced SQL queries, database design, stored procedures, optimisation, and data pipeline engineering.
Predictive models, neural networks, and deep learning pipelines solving real business challenges.
NLP-driven agents, intelligent automation, and AI deployment for operational efficiency.
Pandas, Scikit-learn, TensorFlow, and R-based statistical modelling for end-to-end data science.
Rigorous hypothesis testing, regression analysis, and data-driven insight extraction.
ETL pipeline design, data extraction, cleaning, and transformation for analysis-ready datasets.
Generative AI, Blockchain fundamentals, and modern cloud-based data science tools.
A showcase of real-world Power BI dashboards and data analytics projects — click any video to watch the full demo.
An interactive Power BI dashboard analysing the adoption and distribution of electric vehicles across regions. Features dynamic DAX measures tracking total EV registrations, manufacturer market share, model-year trends, and geographic spread — giving transport stakeholders a clear picture of the EV landscape.
▶ Watch on YouTubeA comprehensive retail analytics dashboard built in Power BI to analyse Adidas sales performance across product categories, regions, and sales channels. Includes KPIs for total revenue, units sold, operating profit, and retailer-level breakdowns — enabling data-driven sales strategy decisions.
▶ Watch on YouTubeA real-time operations dashboard tracking call centre performance metrics including call volume, average handle time, customer satisfaction scores, agent performance, and resolution rates. Designed to help managers identify bottlenecks and improve overall service delivery quality.
▶ Watch on YouTubeA public safety analytics dashboard visualising road accident data across locations, time periods, road types, and severity levels. Uses Power BI mapping and trend analysis to help traffic authorities identify high-risk zones, peak accident times, and key contributing factors for targeted intervention.
▶ Watch on YouTubeAn end-to-end human resources analytics dashboard covering employee headcount, attrition rates, department-level performance, salary distribution, recruitment trends, and workforce demographics. Empowers HR teams and executives to make strategic, people-centred decisions backed by data.
▶ Watch on YouTubeA dynamic e-commerce analytics dashboard tracking total revenue, profit margins, order quantities, and customer purchasing behaviour. Features category-level breakdowns, payment mode analysis, state-wise sales distribution, and sub-category profitability — giving online retailers actionable intelligence to grow revenue.
▶ Watch on YouTubeAvailable for freelance projects, consulting, and full-time opportunities across data science, Power BI, and AI automation.