Michael Falade

Electrical & Electronic Engineering Student | Embedded Systems & Machine Learning Enthusiast
Ibadan, NG.

About

Detail-oriented Electrical & Electronic Engineering (EEE) student with hands-on experience in embedded hardware prototyping and machine learning deployment. Passionate about integrating predictive ML models into smart embedded systems, leveraging a proven track record in data preprocessing, firmware development, and rapid prototyping. Eager to contribute technical skills to innovative engineering projects at the intersection of hardware and software.

Work

University of Ibadan Design Studio and Innovation Hub
|

Embedded Systems Engineering Intern

Ibadan, Oyo State, Nigeria

Summary

Led the design and development of automated traffic control systems and prototyped embedded hardware, contributing to innovative engineering solutions.

Highlights

Designed and developed an automated traffic control system using an Arduino microcontroller and LEDs, effectively simulating and regulating bi-directional traffic flow.

Prototyped robust embedded hardware circuits by precisely calculating and integrating appropriate resistors to ensure component protection and stable power distribution.

Fabricated functional physical enclosures and structural components using advanced 3D printing technologies, converting complex CAD models into tangible prototypes.

Operated laser cutting machinery with precise tolerances to manufacture custom chassis designs and rapid-prototyping materials for diverse engineering projects.

AnalystLab Africa
|

Machine Learning Intern

Remote

Summary

Developed predictive machine learning models and robust data pipelines, achieving high classification accuracy across multiple datasets.

Highlights

Developed predictive models using Python, Scikit-Learn, and Pandas, achieving high classification accuracy across multiple benchmarking datasets.

Engineered robust data pipelines to preprocess raw data, systematically handling missing values and encoding categorical variables for optimal model readiness.

Implemented Logistic Regression algorithms to effectively solve complex binary and multi-class classification tasks, optimizing performance through strategic feature scaling.

Conducted comprehensive exploratory data analysis (EDA) to extract key structural patterns, correlations, and demographic insights from multi-dimensional data, informing model development.

TechCrush
|

Data Science Student

Remote

Summary

Collaborated on capstone projects, performing data analysis and building a linear regression model to predict housing prices.

Highlights

Collaborated effectively with fellow students on capstone projects, contributing to solution development during the TechCrush Bootcamp.

Performed thorough data cleaning, analysis, and visualization on the Bengaluru House Pricing dataset using Python, extracting key insights.

Built a robust Linear Regression Machine Learning model to accurately predict Bengaluru house prices, demonstrating foundational data science skills.

University of Ibadan, department of works and maintenance
|

Electrical Engineer (Internship)

Ibadan, Oyo State, Nigeria

Summary

Participated in electrical infrastructure projects, diagnosing faults, and gaining hands-on experience in power distribution and maintenance.

Highlights

Participated actively in the installation of electric meters across various facilities, ensuring accurate energy consumption monitoring.

Assisted in diagnosing and efficiently resolving electrical faults in organizations using three-phase energy meters, minimizing downtime.

Gained hands-on experience in the operation of distribution substations and the transmission of electrical power to end-users.

Developed practical skills in electrical maintenance, adhered to safety procedures, and performed effective system troubleshooting.

Education

Ladoke Akintola University of Technology, Ogbomoso
Ogbomoso, Oyo State, Nigeria

B.Tech

Electrical and Electronic Engineering

Federal Polytechnic, Ede, Osun State
Ede, Osun State, Nigeria

Ordinary National Diploma

Electrical and Electronic Engineering

Grade: CGPA: 3.5 / 4.0, GRADE: Distinction

Languages

English

Skills

Hardware and Electrical

Arduino, Microcontrollers, Circuit Prototyping, 3D Printing, Laser Cutting, Electrical wiring.

Software & Data Science

Python, Scikit-Learn, Pandas, Data manipulation, Data Cleaning, Data Preprocessing.

Programming Languages

C++, Python.