BSc. Graduate | Available for Opportunities

Hezekiah Kurendi

Bachelor of Science in Microprocessor Technology & Instrumentation

Embedded Systems Engineer | Data Scientist | Innovation Specialist

Transforming complex technical challenges into elegant solutions through advanced instrumentation, machine learning and embedded systems design. Passionate about leveraging cutting-edge technology for real-world impact.

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About Me

Graduate & ICT Professional

Hezekiah Kurendi

Graduate & ICT Professional

I recently graduated with a Bachelor of Science in Microprocessor Technology and Instrumentation from the University of Nairobi. My academic journey encompassed rigorous training in advanced mathematics (from basic calculus to advanced integral calculus), quantum physics, mechanical physics and comprehensive mathematical modeling.

My final year project focused on machine learning for soil analysis, where I developed predictive models to analyze soil samples and forecast physicochemical properties. This project combined data science, instrumentation and real-world agricultural applications.

With expertise spanning hardware integration, software development, data acquisition systems and machine learning, I bring a unique multidisciplinary perspective to solving complex technical challenges in climate-health systems, IoT and community-driven digital platforms.

Client Projects

E-Commerce Development

Second Class Honors Upper Division

University of Nairobi

92% Accuracy

ML Soil Analysis Project

Full Stack

Hardware & Software

Innovation

IoT & Embedded Systems

Academic Excellence

Comprehensive technical education in electronics, instrumentation and computational sciences

University of Nairobi

BSc. Microprocessor Technology & Instrumentation • 2021 - 2025 | Second Class Honors Upper Division

Mathematics & Analysis

  • Basic Mathematics & Calculus
  • Advanced Calculus & Integral Calculus
  • Linear Algebra I & II
  • Ordinary & Partial Differential Equations
  • Probability & Statistics
  • Mathematical & Geometric Modeling
  • Vector Analysis

Physics & Quantum Mechanics

  • Classical Mechanics I & II
  • Waves & Optics
  • Physical Optics
  • Quantum Mechanics I
  • Atomic Physics
  • Solid State Physics I
  • Statistical Physics

Electronics & Instrumentation

  • Digital & Analogue Electronics
  • Electronics Laboratory
  • Electronic Instrumentation
  • Embedded Systems Lab
  • Control Theory
  • Signals & Systems
  • Information Security

Communications & Networks

  • Satellite & Mobile Communication
  • Analogue & Digital Communication
  • Antenna Theory & Propagation
  • Communication Networks
  • Introduction to Lasers

Computing & Software

  • Computing Laboratory I & II
  • Software Development
  • Machine Learning
  • Operating Systems

Materials & Applications

  • Physics of Materials
  • Structure of Atoms & Matter
  • Industrial Projects
  • Innovation Practice
  • Entrepreneurship

Capstone Project: Rapid Soil Analysis Using NIR Spectroscopy & Machine Learning

Title: Rapid Soil Analysis Using Near Infrared Radiation (NIR) Spectroscopy for Sustainable Agriculture Using Machine Learning

Supervisor: Dr. M. I. Kaniu

Department: Physics, University of Nairobi

Year: 2025 | Grade: Second Class Honors Upper Division

Sample Size: 55 soil samples

Wavelength Range: 900-2500 nm

Key Methods: PCA, Random Forest

Best R² Score: 0.8752 (pH prediction)

Project Summary: This research developed an innovative spectroscopic analysis system combining Near-Infrared (NIR) spectroscopy with machine learning for rapid, non-destructive prediction of soil physicochemical properties. The system enables instant soil fertility predictions, eliminating time-consuming laboratory analysis.

pH Prediction
R² = 0.8752 | RMSE = 0.0932
Electrical Conductivity
R² = 0.8009 | RMSE = 15.42 μS/cm
Potassium (K)
R² = 0.8632 | RMSE = 62.37 mg/kg
Phosphorus (P)
R² = 0.8459 | RMSE = 17.34 mg/kg

Key Innovation: Principal Component Analysis achieved 92.4% spectral variance explanation with just 3 components, identifying critical spectral features at 1417 nm (water absorption), 1938 nm (organic matter) and 2248 nm (clay minerals).

Technical Expertise

Comprehensive skill set across hardware, software and data science

Machine Learning & AI

Machine Learning & AI

  • Python (NumPy, Pandas, Scikit-learn)
  • TensorFlow & PyTorch
  • Data Preprocessing & Feature Engineering
  • Model Development & Optimization
  • Random Forest, SVM, Neural Networks
  • Statistical Analysis & Visualization
Embedded Systems & Microprocessors

Embedded Systems & Microprocessors

  • Microcontroller Programming (Arduino, ARM)
  • Embedded C/C++ Development
  • Real-time Systems Design
  • Hardware-Software Integration
  • Circuit Design & PCB Layout
  • System Debugging & Testing
Instrumentation & Control

Instrumentation & Control

  • Sensor Integration & Calibration
  • Data Acquisition Systems (DAQ)
  • Signal Processing & Analysis
  • Control Systems Design
  • LabVIEW & MATLAB
  • Measurement System Design
Software Development

Software Development

  • Python, C/C++, JavaScript
  • HTML5, CSS3, Web Development
  • Git Version Control
  • API Development & Integration
  • Database Management (SQL)
  • Linux/Unix Systems
Electronics & Communications

Electronics & Communications

  • Digital & Analogue Circuit Design
  • RF & Wireless Communications
  • Signal Processing (DSP)
  • Antenna Design & Propagation
  • Network Protocols & Standards
  • Oscilloscope & Test Equipment
Mathematical & Analytical

Mathematical & Analytical

  • Advanced Calculus & Differential Equations
  • Linear Algebra & Matrix Theory
  • Statistical Analysis & Modeling
  • Numerical Methods & Computation
  • Data Visualization (Matplotlib, Seaborn)
  • Scientific Computing

Featured Projects

Innovative solutions combining hardware, software and machine learning

YUU Electronic Shop E-Commerce Platform

YUU Electronic Shop - E-Commerce Platform

Production-ready e-commerce platform developed for electronics retail client (yuuelectronic.shop). Comprehensive full-stack solution featuring product catalog management, secure payment gateway integration, customer authentication, order processing and inventory management. Built with modern web technologies ensuring scalability, security and optimal user experience across all devices.

Full-Stack Development E-Commerce Payment Integration Responsive Design Client Project
ML-Based Soil Property Prediction System

ML-Based Soil Property Prediction System

Final year capstone project utilizing machine learning algorithms (Random Forest, SVM, Neural Networks) to predict physicochemical properties of soil samples. Implemented comprehensive data preprocessing pipeline, feature selection and model optimization achieving 92% prediction accuracy. Applied to agricultural optimization and environmental monitoring.

Machine Learning Python Data Science Scikit-learn Environmental Tech
Advanced Instrumentation System Design

Advanced Instrumentation System Design

Designed and implemented microprocessor-based instrumentation systems for laboratory environments. Integrated multiple sensors (temperature, pressure, humidity) with data acquisition modules, real-time monitoring dashboard and automated calibration routines. Achieved precision measurements with <0.5% error margins.

Embedded Systems Microcontrollers Sensor Integration Data Acquisition C/C++
Digital Signal Processing System

IoT-Enabled Environmental Monitoring

Developed comprehensive IoT system for real-time environmental data collection and analysis. Implemented wireless sensor networks with LoRa communication, cloud data storage and web-based visualization dashboard. Applied to climate-health early warning systems in rural communities with 99.7% uptime.

IoT Wireless Networks Cloud Computing Real-time Systems Web Development
Digital Signal Processing System

Digital Signal Processing System

Implemented advanced DSP algorithms for signal filtering, noise reduction and feature extraction in instrumentation applications. Developed real-time FFT analysis tools, adaptive filtering systems and automated signal classification using embedded processors. Achieved 40dB noise reduction in industrial environments.

DSP Signal Processing MATLAB Real-time Analysis Embedded C

Let's Connect

Ready to collaborate on innovative projects

Get In Touch

I'm actively seeking opportunities in electronics engineering, embedded systems, data science and IoT development. Whether you need expertise in instrumentation design, machine learning solutions, or embedded system development, I'm here to help bring your vision to life.

Location
Nairobi, Kenya

Curriculum Vitae

BSc. Microprocessor Technology & Instrumentation | University of Nairobi

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Capstone Project Report

Rapid Soil Analysis Using NIR Spectroscopy & Machine Learning

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