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.

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!