Heet Patel

A skilled professional with expertise in Python and frameworks such as TensorFlow, Keras, and FastAPI, specialising in RESTful API development and data visualisation using Excel, Matplotlib, and Seaborn. Proficient in statistical analysis with Minitab and experienced in utilising tools like GitHub, Jupyter Notebook, and PgAdmin. Demonstrates strong teamwork, public speaking, and project management skills. Committed to leveraging technical abilities to drive innovative solutions within a collaborative environment.

• Statstify - Typescript, API: A powerful tool that analyses your Spotify listening history to provide in-depth insights about your music preferences. The project parses user data client-side to visualise their listening history through a Spotify-inspired UI.
• Routine Grid - Python, Django, Typescript: A habit tracking application that allows users to track both singular (yes/no) and timed (duration-based) habits in a structured format. Completed work on a Python-based API using the Django REST framework with JWT authentication. A frontend inspired by GitHub’s contribution graph is being built using NextJS.
• Reverse Engineering Shazam - Python, FastAPI, JS: Recreated the Shazam app, which is a popular music recognition app owned by Apple. This was my final year dissertation, and I was awarded the Project Prize from the Maths department. A simple frontend using NextJS was built to allow ease of use for assessors.

The Mathematics Project Prize for my music recognition dissertation during my final year in Maths. Received this to mark being the top-placed dissertation, which also produced a working concept of the Shazam algorithm.

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Mathematics Project Prize Award for my Final Year Dissertation from Nottingham Trent University