Welcome to my world!

I'm Pierre-Olivier, a Frontend Developer passionate about building innovative digital experiences and scalable web applications.

This website was last updated in 2026.

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My journey began in Quebec, where I completed my Master of Business Administration at Université Laval, including an Erasmus exchange in Oslo, Norway, in 2017.

Info-Neige

A data-driven application built with Supabase, Python, and SQL, featuring GeoJSON integration for geospatial data visualization and analysis.

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I transitioned into technology, working in financial services and data analytics.

In 2021, I completed a Data Analytics Certificate from the University of Toronto focusing on Python, SQL, and data analysis with Jupyter.

Pomme Olive

Founded a web agency specializing in eCommerce, landing pages, and Meta ads. Developed and delivered solutions using WordPress, Webflow, and Shopify for clients across Quebec.

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Today, I work as a Frontend Developer at 4th Whale Marketing in Montreal. Bike around the map.

ClusteringNBA

ClusteringNBA is a machine learning project that analyzes NBA player statistics using Python and scikit-learn. By leveraging unsupervised learning algorithms such as K-Means clustering, the project identifies distinct player archetypes and patterns across seasons. The analysis includes dimensionality reduction (PCA), visualization of clusters, and interactive data exploration, offering insights into player roles and team-building strategies. Ideal for fans and analysts interested in data-driven basketball analysis.

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Next-Chartist

Next-Chartist is a React charting library for Next.js, providing an easy-to-use, fully-typed React wrapper around the Chartist.js library. Designed for Next.js 13+ (supports the App Router, RSC, and SSR), it enables developers to quickly add responsive, customizable charts to modern React and Typescript projects. Features include seamless SSR/CSR compatibility, declarative chart APIs, TypeScript types and props, direct support for Chartist plug-ins, and dark mode theming via CSS variables. Ideal for anyone looking to render beautiful charts in Next.js with zero client-side headaches.

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Feel free to connect with me on LinkedIn