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.
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.
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.
Certifications So Far…
I’m always looking to acquire new skills!