Ritam Chakraborty
About Me
This is Ritam
Hi, I'm Ritam! I am a college student in the Bay Area who is interested in data science and full-stack development.
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Data Science B.A. @
UC Berkeley - Python, Java, Javascript, HTML, CSS, Dart
- Frontend, Backend, Data Analysis, Machine Learning
- I play chess (2150 chess.com , 1850 USCF, 1750 FIDE)
- Top 3 Songs: Purple Rain, Ex-Factor, A Milli
Education & Skills
Fun Stuff
Experience
Simulations Team Member
I improved wind speed sampling technique for rocket launching simulations through formulating linear regression models by feasable generalized least squares, allowing me to predict wind speeds at different altitudes. I migrated this new technique a Java simulation engine to run hundreds of these more advanced simulations per second.
Space Enterprise at Berkeley
09/2024-Current
Simulations Team Member
I improved wind speed sampling technique for rocket launching simulations through formulating linear regression models by feasable generalized least squares, allowing me to predict wind speeds at different altitudes. I migrated this new technique a Java simulation engine to run hundreds of these more advanced simulations per second.
Independent Researcher
I preprocessed synthetic images of medicine packages and trained various image classification models on them. I then compared the efficacies between a CNN and other common machine learning classifiers. I published my methodology and recommendations for future implementation in NHSJS through the VeritasAI research program.
Veritas AI
07/2023-07/2024
Independent Researcher
I preprocessed synthetic images of medicine packages and trained various image classification models on them. I then compared the efficacies between a CNN and other common machine learning classifiers. I published my methodology and recommendations for future implementation in NHSJS through the VeritasAI research program.
Project Management Intern
I consulted marketers to determine new features to implement. I developed a distribution plan and product announcements for Bambuser's new “Virtual Try-On” feature. Finally, I pioneered a team to improve Bambuser’s internal communication infrastructure for 150+ employees.
Bambuser
06/2022-06/2023
Project Management Intern
I consulted marketers to determine new features to implement. I developed a distribution plan and product announcements for Bambuser's new “Virtual Try-On” feature. Finally, I pioneered a team to improve Bambuser’s internal communication infrastructure for 150+ employees.
Projects
California House Price Predictor
I created a hyperparamater tuned Random Forest model that was trained on over 20,000 houses to predict housing price in California. I developed a website using Flask to allow anyone with an internet connection to input their housing data and recieve the model's predictions.
RetroGameWizard
I remastered classic arcade games in a small browser extension window for simple and convenient user access with Javascript I devised artificially intelligent opponents and animations for this application. I included a Firebase backend for user authentication and to store high scores, user settings and a leaderboard.
R2 Visualizer
I helped develop an educational website that demonstrates the calculation for R squared in statistics. I made the user interface and enabled users to plot points on a plane that could be used as data for linear regression.
Uno
I remade the card game Uno in Java with a GUI, game mechanics, and custom animations. I constructed a local server from scratch as well as a client handler to allow nearby users to join a single game from seperate systems.