Hey, I’m Chidilim.

I’m a recent Queen’s University Computer Engineering graduate with an AWS Cloud Practitioner certification.

My unique value lies in the combination of strong business acumen and technical expertise, giving me a distinctive perspective on technology.

This combination shapes my purposeful approach to technology, where I see it as a means to create impactful solutions and tackle complex challenges across various domains.

With experience in AI model development, data science, full-stack website development and data analytics , I aim to leverage these skills and learn new ones to deliver impactful results for customers across various industries.

MY TECHNICAL PROJECT PORTFOLIO

Technical Portfolio

NYC House Price Prediction Model

Analyzed COVID-19's impact on NYC real estate by cleaning data, visualizing key features, and predicting house prices with Lasso Regression.

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TrackMate, Full stack development project

Developed a classroom sign-in system using HTML/CSS, PHP, and JavaScript for quick attendance tracking. Features one-click setup, QR code integrity, and student privacy, built with Agile methods.

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Denoising Autoencoder

Created a denoising auto-encoder using a 4-layer MLP architecture in PyTorch to reconstruct and denoise images from the MNIST dataset. Achieved a reconstruction error of less than 0.005 MSE.

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Animal Nose Detection - Machine Learning Project

Created a model to detect pet noses in images using the Oxford-IIIT pet dataset. This involved modifying ResNet18 in PyTorch.

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Certifications So Far…

I’m always looking to acquire new skills!