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.
Data Analysis
Natural Language Processing
Python
Statistics
Machine Learning Algorithm
Deep Learning Modeling
Sentiment Analysis
NLP Tokenization
Topic Modeling
Marketing Analytics
API Integration
Ecommerce
AI Platform
AI Chatbot
ETL
Nicholus M.
Nairobi, Kenya
$10/hr
5.0
8 jobs
**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.
Data Science
Data Analysis
Machine Learning
Natural Language Processing
Python
R
Statistics
Data Visualization
Dashboard
Microsoft Excel
Microsoft Power BI
Deep Learning
SQL
Google Sheets
Predictive Analytics
Artificial Intelligence
Data Extraction
Isaac M.
Nairobi, Kenya
$5/hr
5.0
6 jobs
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!
Data Analysis
R
IBM SPSS
Microsoft Excel
Literature Review
Research Paper Writing
Academic Writing
Stata
Microsoft Power BI
Regression Analysis
Econometrics
Thesis Writing
Dissertation Writing
Survey Data Analysis
Statistical Analysis
Biostatistics
Data Visualization
Quantitative Analysis
Analytics Dashboard
Tableau
Makenge J.
Nairobi, Kenya
$50/hr
4.9
157 jobs
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.
Data Science
Natural Language Processing
Python
R
Business Intelligence
Tableau
Machine Learning Model
Deep Learning Modeling
Artificial Intelligence
Predictive Analytics
Time Series Forecasting
ETL Pipeline
Data Engineering
Database Design
Data Analytics
Clinton D.
Nairobi, Kenya
$30/hr
4.9
26 jobs
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.
Data Analysis
Machine Learning
Python
R
Data Visualization
Spatial Analysis
Data Cleaning
R Shiny
Microsoft Azure
Leaflet
Dashboard
SQL
PostgreSQL
Docker
Salvine N.
Nairobi, Kenya
$20/hr
5.0
17 jobs
I am a Data Analyst with expertise in transforming raw data into meaningful insights that support informed decision-making. Skilled in Python, R, SQL, Excel, SPSS, Minitab, STATA, Power BI, and Tableau, I provide end-to-end analytical solutions, including data cleaning, visualization, statistical modeling, predictive analytics, and machine learning. I apply a wide range of inferential statistical techniques such as hypothesis testing, confidence intervals, ANOVA, regression analysis, correlation, chi-square tests, t-tests, and non-parametric methods to ensure that findings are accurate, reliable, and data-driven. In trading research, I use machine-learning models for market prediction, strategy evaluation, risk analysis, and performance optimization.
I help organizations uncover trends, optimize performance, and forecast outcomes through advanced analytics, interactive dashboards, and evidence-based, data-driven strategies.
Specialized In:
• Data Cleaning & Preprocessing
• Data Visualization (Power BI, Tableau, Excel)
• Statistical Analysis & Hypothesis Testing
• Predictive Modeling & Machine Learning
• Business Intelligence & Reporting
• Big Data Analytics & Forecasting
Why Collaborate With Me?
✅ Proven Expertise – Skilled in Python, R, SQL, Excel, Power BI, and Tableau for end-to-end data solutions.
✅ Data-Driven Insights – I turn complex datasets into clear, actionable intelligence for smarter decision-making.
✅ Custom Solutions – Tailored analytics and dashboards aligned with your business goals.
✅ Strong Communication – Transparent updates and clear explanations of technical results.
✅ Timely Delivery – Committed to meeting deadlines without compromising quality.
✅ Innovation Focused – Experienced in predictive analytics and machine learning to forecast outcomes.
✅ Business Value – My work helps reduce costs, identify opportunities, and support growth.
Data Analysis
Machine Learning
Python
R
Data Entry
IBM SPSS
Data Scraping
Minitab
Microsoft Excel
Tableau
Microsoft Power BI
Data Visualization
Mathematics
LaTeX
Mathematics Manual
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