Hire the Best Data Scientists
in Kenya

Turn your raw data into clear, actionable insights—whether for business growth or rigorous research. Data is only valuable if you can understand it. If you are struggling with messy datasets, complex statistical models, or manual reporting, I am here to help you find the answers hidden in your data. I am a verified Data Scientist specializing in end-to-end data analysis, advanced statistical modeling, and interactive visualization. From cleaning disorganized databases to building corporate dashboards and writing comprehensive research reports, I deliver clear, accurate, and professional results. Core Services I Provide: 1. Advanced Statistical Analysis: Hypothesis testing, regression modeling, ANOVA, and factor analysis using IBM SPSS, Stata, and R. 2. Business Intelligence & Dashboards: Building interactive, automated Power BI and Excel dashboards to track key performance metrics. 3. Data Automation & Machine Learning: Writing clean Python scripts (Pandas, NumPy, Scikit-learn) to automate manual workflows and build predictive models. 4. Survey & Research Analysis: Cleaning survey data, interpreting consumer trends, and writing executive summaries or academic-grade reports. The Tech Stack I Master: 1. Statistical Tools: IBM SPSS, Stata, R Studio, Jamovi, SAS 2. Programming: Python, SQL 3. Visualization: Power BI, Microsoft Excel, PowerPoint No matter how messy your dataset is, I will deliver clean code, clear charts, and professional reports.Click the "Invite to Job" or "Message" button on the top right to discuss your project goals today!

I help clients transform data to insight using statistics, machine learning and data visualization. I assist individuals, academics, start-ups, and SMEs across a variety of industries and disciplines. Additionally, I develop web applications using Django framework. I also create websites using WordPress CMS. I help clients with any stage of the process of transforming raw data to insight: ✅ Pre-analysis data preparation and cleaning ✅ Data exploration with visualization and descriptive statistics ✅ Inferential statistics, such as hypothesis testing (t-test, ANOVA, ...) ✅ Statistical modelling (linear, logistic, ridge, lasso regression...) ✅ Machine learning modelling (k-nearest neighbors, decision trees, gradient-boosted trees...) ➡️ Including variable engineering and selection, model building, model validation, model monitoring, and model explainability (for example SHAP values) ✅ Visualization of analysis results and insights with graphs and dashboards ✅ Report writing – summarizing analysis results and insights, editing existing reports or manuscripts, or explaining how the analysis was carried out Tools: 🧰 R and Python for data preparation, statistics, and machine learning. Also Excel if you prefer. 📊 R/ggplot2/Shiny, Python/Matplotlib/Dash for data visualization, or Excel if preferred. 📃 Word, LaTeX or R/Jupyter notebooks for report writing depending on your preference. Professional Expertise: 💻 Over 4 years of professional data science experience across academia, and as a freelancer Want to know how I can help you? Please get in touch. I look forward to hearing from you.

I help e-commerce and digital brands improve marketing ROI, increase conversions, reduce churn, and scale profitably using Marketing Analytics, Machine Learning, Artificial Intelligence, predictive modeling, and causal inference. With 10+ years of experience in data science and analytics, I build data-driven systems that help businesses optimize ad spend, forecast demand, improve customer retention, and make better growth decisions using measurable data insights. I specialize in Marketing Mix Modeling (MMM), attribution analysis, forecasting, customer analytics, and growth-focused machine learning systems. Proven Impact * Reduced cart abandonment by 25% using predictive modeling and cohort analysis * Improved marketing efficiency and ROAS through Bayesian Marketing Mix Modeling (MMM) * Built AI-driven pricing systems that improved revenue performance and pricing strategy * Increased customer retention and lifetime value using segmentation and personalization models * Developed attribution and analytics systems for data-driven marketing optimization * Built forecasting systems for demand planning and operational decision-making What I Help Businesses Achieve Marketing Analytics & Growth Optimization * Marketing Mix Modeling (MMM) * Budget optimization and media allocation * Funnel analysis and conversion optimization * Customer journey and behavioral analytics * Multi-touch attribution and incrementality analysis * Customer Lifetime Value (LTV) and cohort analysis * Meta Ads and Google Ads performance diagnostics * A/B testing and experimentation * Real-time analytics dashboards and reporting systems Predictive Modeling & Data Science * Demand forecasting and inventory optimization * Churn prediction using survival analysis * Customer segmentation and personalization * Recommendation systems * Pricing optimization models * Fraud and anomaly detection * Predictive analytics for growth and operations Causal Inference & Advanced Analytics * Difference-in-Differences (DiD) * Bayesian Structural Time Series (BSTS) * Synthetic Control methods * Geo-level MMM and lift-test integration * Incrementality and elasticity analysis * Scenario planning and forecasting Selected Projects 🔹 Marketing Mix Modeling (MMM) System Built Bayesian MMM models using PyMC and NumPyro to measure channel effectiveness, optimize budget allocation, and improve ROAS across paid media channels. 🔹 E-commerce Churn Prediction System Developed survival analysis and cohort models using Shopify and GA4 data to identify churn risk, improve retention, and reduce cart abandonment by 25%. 🔹 AI Dynamic Pricing Engine Built a machine learning pricing system using demand forecasting and competitor analysis to optimize pricing strategy and maximize revenue performance. 🔹 Attribution & Growth Analytics Platform Designed analytics systems for Meta Ads and Google Ads performance analysis, attribution modeling, and customer acquisition optimization. 🔹 AI Forecasting Platform Evaluation (FOUNT) Evaluated an enterprise AI-native forecasting and causal intelligence platform by benchmarking its forecasting performance against production-grade machine learning baselines. Built an XGBoost forecasting benchmark, engineered time-series features, and validated model performance using WAPE, MAPE, and R² across retail forecasting datasets. Conducted hyperparameter tuning, SDK validation, workflow testing, and technical documentation reviews while providing detailed product feedback that contributed to improvements in the platform's forecasting workflow, SDK documentation, and inference process. Typical Projects I Handle * Marketing Mix Modeling (MMM) * Attribution modeling * Forecasting and demand planning * E-commerce analytics * Growth analytics * Customer segmentation * Churn prediction * Pricing optimization * Meta Ads & Google Ads analytics * Conversion and funnel optimization * Analytics dashboards and reporting systems Tech Stack Python, SQL, R, PyMC, NumPyro, Scikit-Learn, TensorFlow, Spark, BigQuery, Snowflake, Power BI, Tableau, Looker Studio, GA4, Meta Ads, Google Ads, Shopify, Klaviyo, XGBoost, Causal AI, SDK Validation, Feature Engineering, Time Series Forecasting Why Clients Work with Me * Strong blend of data science, marketing analytics, and business strategy * Experience building scalable analytics and ML systems * Focus on measurable ROI, profitability, and growth impact * Ability to translate complex data into actionable business decisions * Deep expertise in MMM, attribution, and causal inference Let’s Work Together If you're looking to improve marketing ROI, optimize ad spend, forecast demand, reduce churn, or build advanced analytics systems that drive measurable business growth, I’d be happy to help.

A dedicated Data Handler with over half a decade of experience in achieving tangible results and cross-team collaboration. Proactive and excited to partner with like-minded individuals to achieve goals. Also adaptable, with extensive experience providing first-class results. Meets job demands and deadlines through diligent work ethic and dedication to quality. My work availability is on a full-time basis.

**Stop wasting hours on broken reports, dashboards and unreliable models.** Every hour spent on unreliable data is an opportunity you are never getting back. Now, I could talk about my 3+ years of experience in data science and analytics. I could mention how I’ve helped businesses increase revenue, retain clients, reduce churn, or improve decision-making. I can even talk about my confidence in providing you with GUARANTEED satisfaction throughout our time working together. But I won’t do that🙂 Instead, let me give you the exact strategies I use to deliver results for my clients: - Clean and structure data for reliable analysis - Build predictive models to forecast trends and performance - Automate reports and dashboards for real-time insights - Analyse customer behaviour to improve marketing or sales - Identify hidden patterns that impact growth and cost - Present results in clear, visual formats with concrete guidance Simple. Right? But not easy. And definitely time-consuming. Now if you don't want to deal with all this, you've come to the right place. As a valued client, not only do you get GUARANTEED satisfaction, but you also get exceptional service and support. If you are looking for someone who is skilled in what they do, reliable, organised, and has excellent communication skills, then look no further. My daily work involves: - Advanced Excel and Google Sheets, - SQL databases, - Python & R analytic, machine learning and deep learning. - Power BI dashboards, - Streamlit data apps, - Web scraping and - API-based automation.

🔹 Title: Data Scientist, AI & Data Engineer, Financial Engineer and Quant Developer for Algorithmic Trading Strategies 🔹 Overview: Hello! I am a highly skilled and experienced professional with a strong background in Data Science and Data Engineering, ML & AI. I hold a BSc in Actuarial Science and an MSc in Data Science and Analytics. I am also a CFA Level 2 holder. I have strong expertise in utilizing advanced statistical models, financial models, and machine learning and AI algorithms to solve complex problems and drive business growth in diverse fields from my years of experience working as a data scientist, product scientist, data engineer, actuarial analyst, and quant finance developer. 💼 Key Skills: - Machine Learning | Artificial Intelligence | Data Science - Actuarial Modelling and Risk Modeling & Management - Finance | Quantitative Finance| Econometrics - Financial Derivatives | Asset Pricing | Factor Investing - Portfolio Management | Risk Management - Algo trading | HFT - And so much more... 🌟 Services I Offer: - Data Science and Data Engineering Consultation - Actuarial Modelling and risk management consultation - Quantitative financial modeling and analysis - Machine learning algorithm development and implementation - Financial risk management and models - Customized dashboards and web apps for businesses and individuals - Carrying out advanced research projects for publication in top journals - Conducting advanced research and development projects in ML, AI, and Finance - Designing Algo trading models and software 🏆 Why Choose Me? With my diverse expertise in finance and financial risk management, data science & AI, I am uniquely positioned to deliver tailored solutions that drive value for your business. My rigorous academic and professional training, years of practical experience, and certifications ensure that I can seamlessly tackle any challenging project. Feel free to contact me for any questions, or clarifications, and to discuss your project requirements. Let's work together to achieve your goals! Tech Stack: Programming: Cloud and Devops Web Apps and Trading Platforms: - Python - Interactive Brokers - Rust - R