Projects & Experiments
A running log of my builds and ideas.
Ideation-Sketch-AI-and-the-Future-of-Work.
This repository contains an early-stage hand-drawn ideation sketch exploring visual concepts for a data story on AI and the Future of Work in Canada.
View on GitHub →DataSketch-Project.
This project contains a hand-drawn data sketch created from an informal interview about personal habits, lifestyle, and daily routines.
View on GitHub →-Data-Story-The-Effects-of-AI-on-Food-Affordability.
This project explores how Artificial Intelligence has influenced food affordability from 2017–2025, using the COVID-19 pandemic as a baseline for disruption
View on GitHub →Data-Storytelling-Project
This project presents a scrollytelling data story that blends personal narrative with empirical data.
View on GitHub →A-Persuasive-Infographic-Data-Storytelling
This project presents a persuasive infographic exploring how Canadian industries are preparing for artificial intelligence (AI) in Q3 2025.
View on GitHub →John-Snow-Cholera-Map-Redesign-1854
A modern, interactive redesign of Dr. John Snow’s famous 1854 cholera map using Python.
View on GitHub →Employee-Management-System-Spring-Boot-
A simple Employee Management backend built with Java, Spring Boot, Spring MVC, Spring Data JPA, and Maven.
View on GitHub →A-lightweight-Java-Spring-Boot-backend-for-a-simple-blog-system
A lightweight Java + Spring Boot backend for a simple blog system. Built with Spring MVC, JPA/Hibernate, and Maven.
View on GitHub →Banking-App
This Banking App is a basic Java application designed to simulate common banking operations.
View on GitHub →Twitter-analysis
This project analyzes Twitter data using R programming. It focuses on understanding speech patterns, word usage, and sentiment expressed in tweets.
View on GitHub →Intermediate-Analysis
This repository contains intermediate-level analysis work using SQL and R programming
View on GitHub →Platform-for-Backtesting-and-Analyzing-Trading-Strategies
The Litmus Quant Dashboard is an interactive web application built to backtest, compare, and analyze multiple trading strategies using historical market data.
View on GitHub →Spam-Detection-Using-Logistic-Regression
This project builds a spam detection model using Logistic Regression to classify text messages as spam or ham
View on GitHub →Spam-Detection-Using-Naive-Bayes
This project builds a spam classification model using the Multinomial Naive Bayes algorithm.
View on GitHub →