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Nutrient Composition of Common Foods in Canada: Analyzing the Canadian Nutrient File

Tech Stack:

Interactive dietary tools leveraging the Canadian Nutrient File—a Tableau dashboard for in-depth nutrient comparisons and a Streamlit app featuring dynamic visualizations, clustering analytics, and an AI chatbot for personalized nutrition guidance. Presented at YYC DataCon 2025.

AF Risk Prediction Using ECG & EHR Data

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An end-to-end pipeline and interactive app for forecasting new-onset atrial fibrillation using routinely collected 12-lead ECG signals and EHR data. The XGBoost model identifies high-risk patients, while the Streamlit interface and DeepSeek chatbot provide intuitive exploration and insights. Presented at Statistical Society of Canada Annual Meeting 2025.

Credit Card Default

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A predictive modelling project to forecast credit card defaults using demographic and financial data from 30,000 account holders—combining exploratory data analysis, visualization, and machine learning (regularized classifiers and XGBoost) for robust risk prediction.

Enhancing Bank's Personal Loan Approaches

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A sequential neural network model predicting customer likelihood to accept personal loan offers—achieving 98% accuracy, 96% precision, and 87% recall—to drive targeted marketing strategies.

Sleep Apnea Classification Using EEG Spectrograms

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An end-to-end pipeline for four-class sleep apnea severity classification using EEG spectrograms from PSG recordings. YOLOv8 delivers fast, high-accuracy detection across healthy, mild, moderate, and severe cases, while ResNet64 and YOLOv5 benchmarks underscore YOLOv8's streamlined architecture and superior performance.

GDP & Population: 2024 Olympic Medals

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An analysis of how GDP, population, and socio-economic indicators relate to medal performance at the 2024 Olympics—using correlation matrices, regression models, and clustering techniques to uncover key drivers of success.

Database Chatbots

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AI-powered agents for conversational interaction with relational data—transforming natural language prompts into SQL queries and insights for data-driven decision-making.

Designing an Intelligent Agent for the Wumpus World

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An intelligent Wumpus World agent that navigates a grid of hazards and searches for gold under uncertainty. It perceives environmental cues—breezes near pits and stenches near the Wumpus—applies logical inference to deduce safe paths, and balances exploration with caution to avoid fatal encounters, demonstrating key AI concepts such as decision-making under uncertainty, logical reasoning, and informed search strategies.

YT Channel Analytics

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A Streamlit app for analyzing YouTube channel performance—tracking subscriber growth, views, watch hours, likes, comments, and shares to uncover engagement insights.

Wine Dataset Analysis

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An exploratory analysis of red and white wine quality—examining the proportion of high-quality wines, identifying key differentiators (e.g., alcohol content, sulphur dioxide), and evaluating their impact on ratings.

Unlocking Superconductor Potential: Predicting Critical Temperatures with Multiple Regression

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A multiple regression analysis to predict superconductors' critical temperature (Tc), identify the most impactful material features, and evaluate model performance.

Life Expectancy EDA: Key Influencing Factors

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A focused exploratory analysis of life expectancy drivers—examining healthcare investment, vaccination coverage, and socio-economic indicators—and contrasting trends across developed and developing countries.

Sales & Profit Analytics

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An interactive dashboard for analyzing sales and profit trends—with customizable filters like year, category, region, and city—so businesses can track performance, identify top products and markets, and optimize strategies.

British Airways Review Analytics

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An interactive dashboard for customer reviews—track satisfaction, cabin crew, entertainment, food, and comfort; explore sentiment trends, compare seat classes and regions, and filter by date, traveller type, and region to pinpoint improvement areas.

Analyzing 2024 Olympic Medals: The Role of GDP and Population

This article explores the relationship between a country's population size and GDP per capita and its success in the 2024 Olympic Games. By analyzing these variables, we aim to understand how they influence the total number of medals won by different countries. The article also involves clustering countries based on their Olympic performance and socioeconomic context, providing insights into patterns and trends affecting their athletic achievements. Through this analysis, we seek to uncover the extent to which economic and demographic factors contribute to Olympic success.

Understanding the P-Value in Hypothesis Testing

In hypothesis testing, we start with the null hypothesis (H₀), assuming no effect or difference. We then collect our observed results—the actual data from the study—and calculate the p-value, which tells us how surprising these results are if H₀ is true. A small p-value (e.g., < 0.05) leads us to reject H₀, considering the alternative hypothesis (H₁) as a possible explanation. A large p-value suggests our results align with H₀, so we fail to reject it. Importantly, the p-value is not the probability that H₀ is true; instead, it's the probability of observing our results, or more extreme ones, under the assumption that H₀ is correct.