Hire the Best Data Scientists in Nairobi, KE

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. 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 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.

Businesses are generating more data than ever — but the challenge is turning that data into clear, actionable insights. That’s where I step in. I help companies automate workflows, forecast trends, and deploy AI-powered solutions that improve decision-making and reduce costs. My approach is results-driven: every project I take on is designed to save you time, improve accuracy, and provide measurable business value. What I Can Do for You • ETL & Data Pipelines → Automate data collection, cleaning, and integration from multiple sources • Predictive Modeling & Forecasting → Machine learning models tailored to your business needs • Business Intelligence Dashboards → Interactive dashboards (Tableau, React, Excel) for real-time insights • Process Automation with APIs → RESTful APIs to streamline repetitive tasks and reporting • Data Analytics & Reporting → Transform raw data into clear business stories that support decisions • Model Deployment → Put your ML models into production so they deliver value continuously 🔧 Tools & Technologies • Languages: Python, R, SQL • Frameworks: Scikit-learn, Pandas, NumPy, TensorFlow, PyTorch • Visualization & BI: Tableau, Advanced Excel, React, Tailwind CSS, JavaScript • Automation: REST APIs, ETL Pipelines • Statistical Tools: SPSS, Time Series Analysis Why Work With Me? • I deliver scalable, production-ready solutions — not just prototypes • Proven ability to reduce manual work (saved past clients 20+ hours/week) • Strong track record in forecasting, automation, and dashboard development • Clear communication, fast response times, and full project documentation My goal is simple: to help you make smarter, faster, data-driven decisions. Let’s turn your data into your competitive advantage.

Greetings! I am a Research Data Analyst with 7 years of experience in Statistical Analysis, Modelling, and Data-Driven Research. My work focuses on converting complex datasets into meaningful insights that support strategic decisions and real-world impact. Key Skills and Expertise: ✅ Data Collection & Processing: I have extensive experience designing and managing data collection systems that ensure accuracy, consistency, and scalability. From raw data cleaning to structuring large datasets, I focus on building reliable foundations for analysis. ✅ Statistical Analysis: My proficiency in statistical analysis allows me to interpret complex data sets and apply advanced statistical techniques. I am adept at using statistical software for data analysis, interpretation, and visualization, including but not limited to R, Python, Excel, and SPSS. ✅ Statistical Modelling: I have a strong background in statistical modelling, which enables me to predict future outcomes based on historical patterns. This skill has proven invaluable in strategic planning and forecasting. ✅ Machine Learning & Predictive Modelling: As a Research Data Analyst, I am well-versed in machine learning techniques, predictive modelling, and data mining. This allows me to uncover relevant insights and trends that can drive business growth and improve operational efficiency. Communication Skills: In addition to my technical skills, I bring strong communication skills to the table. I am able to present complex data in a clear and understandable manner, making it accessible to both technical and non-technical stakeholders. Let’s Connect! I am always eager to take on new projects and to help businesses make data-driven decisions. If you’re looking for someone who can turn complex data into clear insights, let’s connect!

**Stop wasting hours on broken reports, dashboards and unreliable models.** Most businesses are sitting on more data than they know what to do with. The problem is rarely the data itself. It is that nobody has built the right system to make it speak clearly. That is exactly what I do. I have 3+ years of experience helping businesses make sense of their data through machine learning, automation and dashboard development. I build systems and tools that are specific to each business, not generic templates, so that decision-making becomes faster, clearer and more reliable. I recently placed 2nd out of 411 teams in a Kaggle machine learning competition, which tells you less about competitions and more about how I approach problems under pressure with real data. In practice that means clean structured data you can trust, dashboards that give you answers at a glance, predictive models that keep you ahead of trends and automation that removes the manual work your team should not be doing in the first place. I have worked across finance, public health, agriculture and retail, among other industries, and my portfolio reflects the range and depth of that experience. I work with Python, R, SQL, Excel, Power BI and Streamlit, among other tools, but the tools are secondary. What matters is whether the output solves your problem clearly and reliably. 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. If you are looking for someone who is skilled, reliable, organised and has excellent communication skills, you are already in the right place.

Expert Data Scientist | SPSS, Excel, R, Python, Stata, Power BI Specialist Unlock the power of data with a highly skilled and experienced Data Scientist proficient in SPSS, Excel, R, Python, Stata, and Power BI. I specialize in transforming raw data into actionable insights to drive smarter decision-making for businesses and organizations. With a strong background in data analysis, statistical modeling, and visualization, I bring the technical expertise and creative problem-solving needed to tackle complex projects. Here's what I offer: Skills & Services Statistical Analysis: Deep expertise in hypothesis testing, regression analysis, ANOVA, and other advanced statistical techniques using SPSS, R, Python, and Stata. Data Visualization: Crafting compelling, interactive dashboards and reports with Power BI and Excel to communicate insights effectively. Data Cleaning & Preparation: Ensuring your data is clean, organized, and ready for analysis with Python (Pandas, NumPy) and Excel. Machine Learning & Predictive Analytics: Implementing data-driven models to predict trends and optimize performance using Python (Scikit-learn, TensorFlow) and R. Survey Analysis & Reporting: Expert in survey design, data collection, and reporting using SPSS and Stata.

I’m Clinton, a Data Scientist with 8+ years of hands-on experience in data engineering, analytics, and automation. My focus is on creating reproducible, scalable, and impactful data solutions, from interactive dashboards to automated pipelines and predictive models. 💡 Core Expertise 🗺 Spatial & Geospatial Analytics - Advanced spatial workflows using R, Python, and Google Earth Engine - Poverty and vulnerability mapping using small area estimation and related methods - Disaster risk and impact modeling, including flood, drought, and displacement analytics - End-to-end geospatial data engineering, from data extraction and transformation to automated spatial pipelines and managing geospatial databases with PostgreSQL/PostGIS, and DuckD - Handling diverse geospatial data formats: GeoTIFF, shapefiles, GeoJSON, and satellite imagery - High-quality cartographic visualization and interactive mapping with R (leaflet, ggplot2), Python (geopandas, folium), Google Earth Engine Apps, and Shiny dashboards 📊 Data Visualization & Dashboards - Expert in R Shiny, Power BI, and Looker Studio — building interactive, data-driven dashboards that translate complex insights into compelling visuals - Specialized in high-performance Shiny apps, leveraging asynchronous programming (callr, future, mirai) and reactive optimization for smooth, scalable user experiences - Strong grasp of UI/UX design principles — crafting dashboards that are intuitive, visually engaging, and tailored to end-user needs - Custom branding and theming to align dashboards seamlessly with client identity and design guidelines - Skilled in advanced data visualization using ggplot2, plotly, and leaflet, combining aesthetic storytelling with analytical rigor - Integration of geospatial layers (maps, raster tiles, and dynamic spatial filters) into dashboards for location-aware insights - End-to-end dashboard automation and deployment, including: Continuous integration with GitHub Actions, Docker, and webhooks - Secure hosting via Shiny Server, ShinyProxy, or cloud-based containers - Expertise in data pipeline integration, connecting dashboards directly to live databases (PostgreSQL, DuckDB, APIs) for automated updates and reproducibility - Full dashboard deployment on Shiny Server / ShinyProxy deployment, and CI/CD integration ⚙️ Data Engineering & Automation - End-to-end pipelines using R, Python, and Bash scripting - CI/CD with GitHub Actions, Docker, and webhooks - Async workflows with callr, future, and promises - Databases: PostgreSQL, MySQL, SQLite, and DuckDB 🤖 Machine Learning & MLOps - Predictive modeling with xgboost, caret, scikit-learn, and TensorFlow - Reproducible model management - Automated retraining and REST API integration 🌍 Trusted by Global Organizations I’ve supported data-driven decision-making for organizations such as UNICEF, FCDO, IFAD, CGIAR, and the Green Climate Fund, delivering projects spanning poverty mapping, forest monitoring, displacement analysis, and renewable energy modeling. 🤝 Why Work With Me 1. I listen first: to understand your goals and challenges clearly. 2. I collaborate transparently, providing regular updates and clear timelines. 3. I deliver reliably: production-ready, efficient, and well-documented work.