ABOUT

I am a recent graduate in Software Engineering Technology from Centennial College, passionate about data science and machine learning. I enjoy complex problems and turning data into clear, actionable insights. My academic foundation and hands-on projects have given me experience in building reproducible machine learning pipelines, tuning models, and applying interpretability techniques to make predictions transparent and trustworthy.

Looking for an opportunity to work in a challenging position combining my skills in Data Science and Machine Learning, which provides professional development, meaningful experiences, and personal growth.

PROJECTS

Prediabetes Prediction Dashboard

Interactive dashboard for predicting prediabetes risk levels using a modular ML pipeline with SHAP interpretability and Streamlit UI.

Technologies Used:

Python

Streamlit

Scikit‑learn

XGBoost

CatBoost

SHAP

Pandas

NumPy

Matplotlib

Seaborn

Plotly

IPython

Docker

GitHub Live Demo

Car Cost Prediction Dashboard

Modular machine learning pipeline with SHAP interpretability, Dockerized deployment, and an interactive Streamlit UI.

Technologies Used:

Python

Pandas

Matplotlib

Seaborn

Scikit‑learn

XGBoost

CatBoost

SHAP

Streamlit

IPython

Docker

GitHub Live Demo

American Sign Language Trainer

An interactive application that enables users to improve their ASL skills using computer vision and deep learning.

Technologies Used:

Python

Flask

TensorFlow

Keras

JAX

Mediapipe

OpenCV

NumPy

SciPy

Matplotlib

Seaborn

Plotly

GitHub Link to Video

SKILLS

Languages

Python

C#

JavaScript

HTML5

CSS3

Libraries

NumPy

Scikit-learn

SHAP

PySpark

Matplotlib

Frameworks

Flask

Keras

TensorFlow

PyTorch

Tools & Technologies

Git

Docker

AWS

EDUCATION