L'Oreal

Worked with L'Oreal's R&I team to build an internal ticketing system using Power Apps and Power Automate. Automated key workflows that reduced manual work and sped up ticket resolution by 35%. Collaborated in an Agile environment, leading sprint meetings and translating lab team needs into real features.

Fidelity Investments

Incoming internship with Fidelity Investments

This project is a fully functional chat system where multiple clients can connect to a central server to communicate in real-time. The server is built to handle numerous concurrent connections efficiently and safely, using modern Java concurrency utilities. Clients interact with the application through a clean and intuitive GUI. The system features public messaging, private "whisper" messages, and a server-enforced unique username policy to ensure a smooth and secure user experience.

A Python script that fetches new Data Science internship postings in New York State and sends them to your Telegram via bot messages. It avoids duplicates by tracking previously seen jobs using a local JSON file.

This project uses machine learning to correctly identify iris flowers into 3 species. Setosa, Versicolor, and Virginica. Based on their unique features. The model is built using scikit-learn and trained on the iris data set.