· Immediate start

Evans
Kiplangat

Data Analyst & M&E Specialist with expertise in statistical modelling, data engineering, machine learning, and financial analytics — bridging rigorous quantitative methods with real-world programme decisions across health, agriculture, and government in East Africa.

View My Work Download CV ↓ Nairobi, Kenya · Open to remote
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About

I turn data
into decisions.

I'm a data analyst and M&E specialist with a BSc in Applied Statistics & Computing (Moi University), a Google Data Analytics Professional Certificate, and CPA Intermediate level — bringing five-plus years of hands-on experience across digital health, agriculture, government, and fintech in East Africa. I'm also trained in Data Privacy & Protection (APHRC), which shapes how I handle sensitive programme and health data responsibly.

My edge spans the full data value chain. On the technical side, I architect production-grade ETL pipelines (Kafka, Spark, PostgreSQL), build and deploy machine learning models (XGBoost, Random Forest, SHAP explainability), and design real-time Streamlit applications used by programme teams and lenders. On the financial side, my CPA training means I can engage directly with budgets, audit trails, and financial risk — not just operational data. I don't just build dashboards — I build accountability.

On the M&E side, I design KPI frameworks, indicator tracking systems, and data quality workflows — and I've built county-level health reporting systems covering 41 counties and 205 facilities. Growing up in the Rift Valley gives me genuine field context for agricultural and community programmes: I understand what smallholder data actually looks like, where it breaks, and which analytical assumptions to question. That's the kind of local knowledge you can't import.

Languages
English — Fluent Kiswahili — Fluent
5+
Years of analytical experience across 4 sectors
41
Kenyan counties tracked in the MH M&E Dashboard
8+
End-to-end projects published on GitHub
30%
Reduction in reporting turnaround at Amtech Technologies
Capabilities

What I bring
to the table.

📐
Statistical Modelling
Regression, ANOVA, mixed models, hypothesis testing, power calculations, experimental design (RCT awareness, RCBD, stratified sampling).
R · lme4 Python · Scikit-learn EDA Forecasting
🌍
Agricultural & Geospatial Analytics
Climate and market data integration, spatial analysis for smallholder contexts, raster data concepts, iSDA soil data, CHIRPS/TAMSAT awareness.
GeoPandas Plotly Streamlit Climate Data
🗄️
Data Engineering
ETL pipeline design, PostgreSQL/MySQL, RESTful API integration, Apache Kafka & Spark, automated data ingestion and transformation.
PostgreSQL Apache Kafka Spark Python Pipelines
📊
M&E & Reporting Systems
KPI framework design, DHIS2-style workflows, survey data analysis, impact reporting, data quality validation, decision-ready briefs for non-technical audiences.
Power BI Tableau DHIS2-style KPI Design
🤖
Machine Learning
Classification and regression models for risk estimation, feature importance, Random Forest, XGBoost, predictive modelling on structured datasets.
RandomForest XGBoost Scikit-learn Feature Analysis
🔁
Reproducible Research
Version-controlled codebases, Jupyter Notebooks, Git/GitHub, reusable analysis templates, clear documentation and institutional knowledge management.
Git / GitHub Jupyter R Markdown Documentation
Selected Work

Projects that
prove the point.

📈 Statistical Analysis · R
Supermarket Sales Analysis & Forecasting
Panel transaction data analysis using regression and mixed models (lme4) to estimate treatment effects of seasonal interventions and produce outcome forecasts — with reusable, documented R templates.
R lme4 SQL Mixed Models Regression
💳 Predictive Modelling · Python
Loan Default Prediction System
Machine learning classification models (Random Forest, XGBoost) to estimate credit risk from structured financial data. Includes a Streamlit demo with full feature importance analysis and model interpretability.
Python Scikit-learn RandomForest XGBoost SHAP Streamlit
⚡ Data Engineering · Python
Real-Time Stock Analysis Pipeline
Production-grade data ingestion and transformation pipeline using Apache Kafka and Spark with PostgreSQL storage — demonstrating ETL design and real-time data infrastructure for analytical pipelines.
Apache Kafka Apache Spark PostgreSQL Python ETL
Experience

Where I've
done the work.

2023 – Dec 2025
Amtech Technologies
Nairobi, Kenya
Data Analyst (Contract)
  • Designed and executed quantitative analyses of large operational datasets — applying regression modelling, hypothesis testing, and treatment effect estimation — improving decision-making efficiency by 25%.
  • Built and maintained 5+ Power BI dashboards translating complex analytical findings into decision-ready outputs for non-technical programme leaders, reducing reporting turnaround by 30%.
  • Developed automated Python data pipelines integrating PostgreSQL databases and REST APIs, cutting manual errors by ~40% and saving 10+ analyst hours weekly.
  • Scoped ambiguous analytical problems from cross-functional stakeholders and translated them into structured deliverable plans — managing multiple concurrent projects against timelines.
2021 – Present
Self-Employed
Remote
Freelance R&D Data Analyst
  • Conducted applied statistical analysis — regression, correlation, predictive modelling — on survey, operational, and financial datasets across agricultural, fintech, and retail sectors.
  • Designed and deployed analytical pipelines in Python and R integrating APIs, databases, and flat files; built decision-support tools and dashboards for programme managers.
  • Developed a retail BI analytical system that contributed to a 20% improvement in client performance outcomes through rigorous data-driven recommendations.
  • Maintained version-controlled analytical codebases on GitHub with clear documentation, ensuring reproducibility across client engagements.
2022
Bomet County Government
Finance, Economic Planning & ICT
Finance & Data Analyst (Industrial Attachment)
  • Collected, cleaned, and analysed government administrative and survey datasets to estimate resource allocation trends and inform county planning decisions across 3 departmental units.
  • Produced structured analytical reports and data briefs translating quantitative findings into clear policy recommendations for non-technical decision-makers.
  • Supported database administration and data management, ensuring data integrity for downstream analytical use.
Education & Credentials

Qualifications
that back the work.

🎓
BSc Applied Statistics with Computing
Moi University · 2023

Core competencies in statistical theory, probability, regression analysis, experimental design, and computing applications. Final-year research focused on data modelling for East African agricultural contexts.
📜
Google Data Analytics Professional Certificate
Google / Coursera

End-to-end analytics training covering data cleaning, SQL, R programming, Tableau visualisation, and case-study-based analytical problem solving. Industry-recognised certification from Google.
🔐
Data Privacy & Protection Module
Data Governance Course · APHRC

Specialist training in data privacy principles, ethical data handling, governance frameworks, and compliance — directly applicable to health, humanitarian, and research data environments in Africa.
📊
CPA — Part II
KASNEB · In Progress

Certified Public Accountant qualification covering financial reporting, audit principles, and management accounting — strengthens analytical work on budget, finance, and accountability-adjacent data roles.
Social Proof

What collaborators
have said.

"
Evans has a rare quality: he can hold statistical rigour and practical stakeholder communication at the same time. He doesn't just produce a model — he tells you what to do with it. That's uncommon in analysts at his experience level.
SK
Senior Colleague
Data & Analytics · Amtech Technologies
"
The SmartCrop dashboard he built for our pilot wasn't just technically sound — it actually made sense to the farmers using it. Evans understood that building for the end user is part of the analytical work, not separate from it.
AM
Programme Coordinator
Agricultural Development Initiative
"
What stood out about Evans was his documentation discipline. Every analysis was reproducible, every assumption was written down. That kind of institutional memory is invaluable when you're managing programmes at county scale.
JR
Department Head
Bomet County Government, Economic Planning

* Testimonials are representative composites based on documented feedback. Reference contacts available on request.

Get In Touch

Let's work
together.

Available for immediate start

I'm actively looking for roles in data analysis, R&D analytics, M&E, and agricultural data — both remote and on-site across Kenya and East Africa. If you're working on something that matters and needs someone who can bring both statistical depth and ground-level context, I'd like to hear from you.

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