Olubusola O. Olaleye– Pharmacy

Objective
Built a machine learning model on AWS to predict whether drug-related adverse events are serious or non-serious.

Results
Achieved very high accuracy, supporting pharmacovigilance and early detection of high-risk cases.

Mercy Olokpo – Environmental/Analytical Chemistry

Objective
Applied supervised ML to predict water potability using physicochemical properties such as pH, hardness, and turbidity.

Results
Models successfully classified potable vs. non-potable water, supporting safe water governance and sustainability.


Kachia Naallah — Nursing

Objective
Built ML models to predict likelihood of seeking mental health treatment using data preprocessing, and ML techniques.

Results
Enabled accurate prediction and insights to guide targeted interventions, bridging mental health practice with data-driven decision-making.

Emmanuel Damina – Senior Financial Policy Analyst with CBN

Objective
Analyzed global financial crises with a focus on banking crises in Africa using advanced Excel, sensitivity analysis, and NLP-based text classification.

Results
Improved policy analysis and feedback response, applying data-driven insights to support financial stability in Africa

AZEEZ LAWAL – Electrical/Power Engineering 

Objective
Built an ML model on AWS to predict power plant energy output using the CCPP dataset. 

Results
Achieved accurate predictions, enabling efficiency, cost reduction,

Charles Kyom Bijimi – Built Environment (Geography, Urban & Regional Planning)

Objective
Built a Random Forest model to classify UK regions by waste recovery rate (≥60% vs. <60%), supporting early identification of underperforming areas.

Results
Achieved 95% accuracy 

Moses Achiloko Gabriel – Computer Science

Objective
Built a model using car data (make, mileage, year) to predict Nigeria car prices, leveraging PaaS in cloud computing.

Results
 Applying cloud-based services for real-time, practical solutions.

JACOB, JULIUS ADE – Insurance (Accounts)

Objective
Developed a text classification model to predict insurance claim categories  from claim descriptions.

Results
Automated claim categorization improved efficiency and reduced manual errors.

          Student Success Spotlight:                              From Training to Publication!

At CHM Tech Global, we are passionate about equipping our students with the skills and confidence to make a lasting impact. Today, we are thrilled to celebrate one of our students who has taken this vision to heart and achieved a remarkable milestone.

Using the knowledge and research skills gained through our IT training program, this student successfully authored and published a paper in the TIJER – International Research Journal (Peer-reviewed & Open Access), a globally recognized scholarly platform with an impact factor of 8.57.

About the Paper

Title: Examining the Intersections of Climate Change, Economic Stress, and Mental Health of Nigerian Youths in Online Space

This timely and thought-provoking research explores how climate change and economic challenges intersect to affect the mental health of Nigerian youths, highlighting critical issues that resonate both locally and globally.

 Why This Matters

This achievement is not just a personal success but also a reflection of the transformative learning environment at CHM Tech Global. It demonstrates how our training programs empower individuals to create meaningful contributions that address real-world challenges.

We are incredibly proud to showcase this as one of the highlights of our IT training session — proof that when faith, knowledge, and innovation come together, lives and communities are transformed.

Stay tuned for more inspiring stories from our students who continue to break barriers and shine globally.

Student Success Spotlight: From Beginner to Real-Time Web App Builder

Released 2025: Automated Image Detection for Social Media Verification

Student Success: Product developed by  Ozioma Chinyere Okoronkwo, our previous student 

At CHM Tech Global, we are committed to transforming beginners into innovators. We’re excited to highlight one of our students who has progressed from learning the basics to developing a real-time social media subscription verification web application.

Project Highlights

  • Project Title: Automated Image Detection for Social Media Verification

  • Core Features:

    • Automated file processing and analysis of social media subscriptions

    • Image detection system for subscription verification

    • Real-time upload, processing, and verification functionality

  • Motivation: Solving the inefficiency of manual review and reducing errors in verifying social media presence.

  • Goal: Delivering a fast, accurate, and scalable solution using automation.

Why This Matters

This project showcases the power of applied learning at CHM Tech Global. With determination and skills gained from our training, the student built a fully functional web app that addresses real-world challenges in digital verification.

This achievement is a testament to our mission: equipping individuals with cutting-edge skills to innovate, create, and solve practical problems.

👉 Stay tuned as more of our students continue to build solutions that make an impact!