Hire the Best Python Numpy Developers
in Kenya

I build scalable applications with: 1. High-performance APIs using Python (Django), Node.js, PostgreSQL, and modern cloud infrastructure 2. Fast response times even during traffic spikes - strong architecture 3. 99.9% uptime with auto-scaling 4. Clean, maintainable code that's easy to update 5. Strong security measures to protect your data 6. Automatic backups and recovery systems 7. Smooth integration with payment gateways and third-party tools 8. Quick deployment with automated testing 9. Database design that stays fast as your data grows 10. Mobile-friendly APIs that work with any device 11. Multi-tenant setup for SaaS products 12. Monitoring and alerts to catch issues early 13. Load balancing to handle more users smoothly 14. Container-based setup (Docker) for consistent performance 15. Compliance-ready for data protection rules

I'm a backend and data engineer with 8+ years building production systems in Python, Node.js, Django, Flask, and FastAPI and, increasingly, the AI layer sitting on top of them: LLM integration, AI agents, RAG pipelines, and workflow automation. I move comfortably between clean API development, solid data engineering, and the kind of technical writing and QA evaluation that most engineers skip and most clients wish someone would actually do well. I love documenting my journey - From challenges, breakthroughs, and lessons learnt. This has heavily boosted my technical writing experience and documentation. overall. My work covers three tightly connected lanes: 1. Backend & API Development: - Python (Django, Django REST Framework, Flask, FastAPI), Node.js, PHP/Laravel. - REST API design and development - API integration, authentication (JWT/OAuth), webhooks (Discord, Telegram, WhatsApp, Stripe, PayPal, Ayden, M-Pesa), and third-party integrations (payments, CRM, identity, fintech, HR/Payment). - PostgreSQL, MySQL, MongoDB - database security, schema design, query optimization, data modeling, DBMS. (As I validate idempotency & Race Conditions). - Docker, AWS, CI/CD, Git/GitHub, Kubernetes - deployment pipelines that don't fall over at 2 am. - Frontend when needed: React, Next.js, TypeScript, Bootstrap, Angular. **I ensure efficiency, security, Idiomatic and tested backend Engineering.** 2. Data Engineering & Automation: - ETL pipelines, data cleaning, data pipelines, reporting dashboards.(Power BI, Azure Data Factory). - Pandas, NumPy, scikit-learn, SQL, Apache Airflow - for data processing, monitoring, and analysis. - Web scraping and data extraction (BeautifulSoup, Scrapy, Selenium, Playwright) for structured data collection at scale. - Workflow automation with n8n, Zapier, and custom Python scripts that replace hours of manual work with a scheduled cron job. ** I ensure accuracy, consistency, security and integrity of the data.** 3. AI, LLM & Automation Engineering : - LLM API integration - OpenAI API, Claude/Anthropic API, and prompt-driven AI agent development. - RAG (Retrieval-Augmented Generation) pipelines, vector databases (Pinecone, Chroma, pgvector), and semantic search. - Prompt engineering, chatbot development, and AI-powered document/data extraction workflows. - AI evaluation and QA - I've spent real hours as a paid AI evaluator (Vetto Arena, Welo Data, a Microsoft Research AI productivity study) doing rubric-based LLM evaluation, adversarial prompting, multi-turn conversation annotation, and QA auditing of other annotators' work. **If your project needs someone who can tell you why your RAG bot is hallucinating, not just wire the API together, that's where I've actually spent time.** 4. Technical Writing : Developer guides, API documentation, tutorials, product manuals - written so a non-technical stakeholder and a backend engineer both walk away with what they need. I do this because am a senior developer working with other developers who could rely heavily on how the systems work, including the creative, design and implementation process. Why this combination matters: Python developers can build the endpoint. Fewer can also build the data pipeline feeding it, wire in an LLM agent responsibly, document it clearly, and evaluate whether the AI layer is actually working before you ship it. That's the gap I sit in. Flagship project: Vantage Market - a solo-built luxury e-commerce platform covering the full stack from architecture to deployment. Backend built on Flask, PostgreSQL, and Redis, containerized with Docker, with a React frontend. Includes a data pipeline feeding product/order analytics dashboards and full API documentation for every endpoint. Currently extending it with an AI-powered shopping assistant chatbot (LLM integration with RAG-based product search) in active development. I designed, built, evaluated, and documented every layer of it myself, which is exactly the range I bring to client engagements: backend, data, AI, and the writing that ties it together. It has over 4000 active users. Tech & Toolkit Languages: - Python, JavaScript/TypeScript, PHP, SQL, C, Java. - Frameworks: Django, Django REST Framework, Flask, FastAPI, React, Next.js, Express.js, Spring Boot, Bootstrap. - Databases: PostgreSQL, MySQL, MongoDB, Redis. - AI/LLM: OpenAI API, Claude/Anthropic API, RAG, vector databases, LangChain, prompt engineering, AI agent development. - Automation: n8n, Zapier, Python scripting. - Cloud/DevOps: AWS, Docker, Render, Git, CI/CD. - Tools: VS Code, Notion, Markdown, Google Docs/Sheets, Postman. If you need a Python/Django/FastAPI backend, a data pipeline that actually runs unattended, an AI agent or LLM integration that's been properly evaluated instead of just demoed, or documentation your team will actually read, let's talk. I turn "we think it kind of works" into "here's the test suite and the docs proving it does."

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 businesses turn complex data into actionable insights, predictive systems, and measurable results through Data Science, Data Analytics, Artificial Intelligence, Machine Learning, and Marketing Analytics. I build end-to-end analytics and AI solutions that help organizations forecast demand, optimize operations, improve marketing ROI, understand customer behavior, automate decision-making, and uncover growth opportunities. My expertise includes predictive modeling, machine learning, forecasting, business intelligence, Marketing Mix Modeling (MMM), attribution, customer analytics, causal inference, and experimentation. PROVEN IMPACT • Reduced cart abandonment by 25% through predictive modeling and cohort analysis • Improved marketing efficiency and ROAS using Bayesian MMM • Developed AI-driven pricing systems to optimize revenue and pricing strategy • Built forecasting systems for demand planning and operations • Increased customer retention and LTV through segmentation and personalization • Automated analytics and reporting workflows to reduce manual reporting DATA SCIENCE & MACHINE LEARNING • Predictive modeling and statistical analysis • Time-series and demand forecasting • Classification and regression • Churn prediction and survival analysis • Customer segmentation and personalization • Recommendation systems • Pricing optimization • Fraud and anomaly detection • Feature engineering and model optimization DATA ANALYTICS & BUSINESS INTELLIGENCE • Exploratory Data Analysis (EDA) • SQL and Python analytics • Data cleaning, transformation, and ETL • KPI development and performance analysis • Power BI, Tableau, Looker Studio, and Excel • Interactive dashboards and data visualization • Automated reporting and business analytics AI & PREDICTIVE SYSTEMS • AI-powered analytics and decision systems • Machine learning automation • Predictive analytics and AI-assisted forecasting • Dynamic pricing systems • Automated analytics workflows • AI platform and SDK evaluation • API-based data and AI applications MARKETING & E-COMMERCE ANALYTICS • Marketing Mix Modeling (MMM) • Marketing attribution and incrementality • Budget optimization and media allocation • Meta Ads and Google Ads analytics • Funnel and conversion optimization • Customer journey and behavioral analytics • Customer Lifetime Value (LTV) and cohort analysis • ROAS and profitability analysis • Shopify and GA4 analytics • A/B testing and experimentation CAUSAL INFERENCE & ADVANCED ANALYTICS • Difference-in-Differences (DiD) • Bayesian Structural Time Series (BSTS) • Synthetic Control methods • Incrementality and lift analysis • Geo-level experimentation • Elasticity and scenario analysis SELECTED PROJECTS 🔹 AI Forecasting Platform Evaluation – FOUNT Evaluated an AI-native forecasting and causal intelligence platform against machine learning baselines. Developed an XGBoost forecasting benchmark, engineered time-series features, and evaluated performance using WAPE, MAPE, and R². Conducted hyperparameter tuning, SDK validation, workflow testing, and technical documentation reviews. 🔹 Bayesian Marketing Mix Modeling Developed Bayesian MMM models using PyMC and NumPyro to measure channel effectiveness, analyze saturation, quantify incremental impact, and optimize marketing budget allocation. 🔹 AI Dynamic Pricing Engine Developed a machine learning pricing system combining demand forecasting, historical data, and competitive signals to optimize pricing and revenue performance. 🔹 Predictive Customer Analytics Built predictive, survival analysis, cohort, and segmentation models to identify behavioral patterns, predict churn, and improve customer retention. 🔹 Business Intelligence & Analytics Developed dashboards and automated analytics workflows using Power BI, SQL, Python, and Excel to transform raw data into actionable business insights. TYPICAL PROJECTS Data Science | Data Analysis | Machine Learning | AI | Predictive Analytics | Business Intelligence | Forecasting | MMM | Attribution | Customer Analytics | Churn Prediction | Segmentation | Pricing Optimization | Causal Inference | A/B Testing | E-commerce Analytics | Dashboards | ETL TECH STACK Python, SQL, R, Pandas, NumPy, Scikit-Learn, XGBoost, LightGBM, CatBoost, TensorFlow, PyMC, NumPyro, Spark, BigQuery, Snowflake, Databricks, Power BI, Tableau, Looker Studio, Excel, GA4, Meta Ads, Google Ads, Shopify, AWS, GCP, Azure WHY CLIENTS WORK WITH ME • Strong combination of Data Science, AI, Analytics, and business strategy • End-to-end capability from raw data to models, dashboards, and recommendations • Focus on measurable business outcomes and practical solutions • Ability to translate complex analysis into clear business decisions LET’S WORK TOGETHER If you need a Data Scientist, Data Analyst, Machine Learning specialist, AI consultant, or Marketing Analytics expert who can turn your data into practical business results, let’s discuss your project.