Machine Learning Engineer & Data Researcher

Based in Nairobi, Kenya. I focus on data modeling, IoT systems, and predictive modeling — building practical, accessible tech and contributing to open source. Explore featured work and a full list of repositories below.

Portrait of Jethro Kimande

📝 About Me

Machine Learning Engineer & Data Researcher from Nairobi, Kenya. I'm passionate about data modeling and research in machine learning, IoT systems, and predictive modeling. Growing up in a developing country, I have had an opportunity to witness the impacts of relying on little to no data in making industrial and business decisions. I desire to assist in popularising emerging technologies and formulating new strategies that advance the prediction performance of machine learning algorithms in research and development and building tech solutions that are globally accessible.

Skilled in Python, R, MATLAB, and IoT systems. Currently building an open-source LinkedIn bot to share satellite pollution data weekly.

🎓 Education

Power Learn Project Africa — Software Development Fellow (In Progress)
Pan-African Fellowship Program • July 2025 Cohort
  • Currently undertaking intensive training in Python, Dart, Flutter, databases, and web technologies.
  • Learning through project-based modules focused on digital innovation, entrepreneurship, and real-world problem solving.
  • Part of the #1MillionDevs4Africa initiative empowering youth across the continent with future-ready tech skills.
  • Engaging in collaborative development, mentorship, and community-driven impact projects.
MSc. Nuclear Science
University of Nairobi • 2017–2021
  • Thesis: Estimating the temperature variations in three-phase distribution transformers using infrared thermography.
  • Developed MATLAB algorithms to analyze thermograms, improving fault prediction accuracy by 25%.
  • Published a conference paper at the 3rd Annual Architecture & Engineering Conference (2020).
BSc. Electrical & Electronic Engineering
Dedan Kimathi University of Technology • 2011–2016
  • Project: Wildlife Monitoring and Data Acquisition Using Camera Traps and Raspberry Pi.
  • Built a real-time data streaming system with Kafka and TensorFlow.
  • Implemented a camera trap using OpenCV and a Cascaded Haar classifier.

📚 Attended Training & Workshops

Selected courses, workshops, and micro-trainings.

Career Essentials in Software Development

Microsoft & LinkedIn Learning Jul 09, 2025 • 8h 20m

Programming, Software Development

Introduction to Career Skills in Software Development

LinkedIn Learning Jul 04, 2025 • 2h 2m

Software Development, Career Management, Tech Career Skills

Programming Foundations: Beyond the Fundamentals

LinkedIn Learning Jul 07, 2025 • 3h 6m

Programming

Programming Foundations: Fundamentals

LinkedIn Learning Jul 06, 2025 • 3h 11m

Programming

Raspberry Pi Microcomputer Training Workshop on Real-Time Programming

UoN, Uppsala University, TU Delft Feb 11–15, 2019

IoT & AI intro, Raspberry Pi, OOP in Python, Sensors & Actuators, Interrupts & Threading, Wi‑Fi Communication, hands‑on practicals

Mini‑Course on Statistical Distributions in Particle Technology

UoN, Uppsala Universitet Jun 12–13, 2017

Basic concepts; distributions (normal, log‑normal, etc.); presentations; data analysis; goodness‑of‑fit; applications; Excel statistics

Raspberry Pi Microcomputer Training Workshop on Real-Time Programming

UoN, Uppsala University, TU Delft Feb 13–16, 2018

Raspberry Pi, OOP in Python, Sensors & Actuators, Interrupts & Threading, Bluetooth Communication, hands‑on practicals

"Nuclear Fuel Cycle, and Design of Reactor and Core"

UoN INST & Korea Nuclear Association Jun 20–27, 2018

Nuclear fuel cycle intro; power generation principles; front‑end/back‑end fuel management; spent fuel; radioactive waste; decommissioning; Korean experiences

Optimization Onramp

MathWorks Training Services Nov 10, 2022

Optimization techniques (self‑paced). Formulation of optimization problems in MATLAB; linear and nonlinear optimization.

💻 Skills

Machine Learning

TensorFlow, scikit-learn, predictive modeling, classification, regression

Programming Languages

Python, MATLAB, SQL, R, Dart, Bash

Tools & Platforms

Databricks, Kafka, React Native, Firebase, APScheduler, n8n, Web-hooks

IoT & Embedded Systems

Raspberry Pi, Sensors & Actuators, Real‑time Programming, Bluetooth/Wi‑Fi Communication

Web Scraping & Automation

Selenium, BeautifulSoup, API integration, CRUD systems

Specialties

Infrared Thermography, DSP, NDT, Technical Writing

💡 Interests

🛠️ Featured Projects

Curated highlights. See more in Repositories below.

Climate‑IoT LinkedIn Bot

PythonAPIAutomationIoT

Automates weekly pollution data posts using satellite APIs, making air‑quality insights more accessible.

Weekly automation Satellite data

Property Management System

Web AppCRUDAdmin

Web application to manage property details and tenant information with a clean admin interface.

Multi-tenant Admin panel

Loan Default Prediction

Pythonscikit‑learnClassification

Supervised ML model with ROC/AUC analysis for identifying potential loan defaults.

EEG DSP Analysis

MATLABDSPEEG

Oddball paradigm analysis exploring responses to an offensive word among Black Americans.

Data Collection App

CHTMLJavaScript

Lightweight app for structured data collection with a simple web front‑end.

IoT Auto Greenhouse

IoTRaspberry PiSensors

Real‑time crop condition monitoring; showcased at the Nairobi Trade Fair.

TMDB Data Scraping

PythonWeb ScrapingTMDB

Built a dataset of movie metadata by scraping The Movie Database (TMDB).

LinkedIn Job‑Market Scraper

PythonWeb ScrapingJobs

Scrapes and analyzes LinkedIn job‑market data for insights and trends.

Supervised ML Robot (Raspberry Pi)

Raspberry PiComputer VisionRobotics

Autonomous pick‑and‑place robot powered by a supervised ML model.

🏆 Awards

13.5
Research Interest Score
4
Citations
830
Reads

Key Repositories

Auto-fetched from GitHub.

📬 Contact Me

Let's collaborate on AI projects, discuss opportunities, or just say hello!

Get in Touch

Email

jethro.kimande@example.com

Location

Nairobi, Kenya

Response Time

Usually within 24 hours

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