Climate Bench Reproduction
For my quarter 1 for my Senior Project at UCSD my project group and I created a reproduction of my mentor’s (Duncan Watson-Parris) paper ClimateBench.
For my quarter 1 for my Senior Project at UCSD my project group and I created a reproduction of my mentor’s (Duncan Watson-Parris) paper ClimateBench.
In this project, I used Machine Learning to predict the whether a persons Loan gets approved or not using Machine learning and made a working demo of the model using Flask.
For this project, I was task to create a Visualization using the D3 API. It is an Open Ended project,hence I chose to do a Visualization of my favourite game Dota 2.
In this project which was part of a Kaggle competition for my class DSC148 (Intro to Data Mining) where we were given a dataset of Airbnb listings in New York City and tasked to predict the price of the listing using Machine Learning.
During my internship at the Center for Community Energy (CCE), I contributed to an impactful project that aligned with California’s ambitious goal of achieving carbon neutrality by 2050. This project involved the development of a comprehensive proposal, initiated by CCE, to advocate for the subsidization of electric bicycles (E-Bikes). The primary objective was to demonstrate the substantial environmental benefits of E-Bikes as a sustainable transportation alternative, thereby bolstering efforts to reduce carbon emissions in the state.
My process for building my personal portfolio
Store off my code in Jupiter Notebooks
Here is a categorized page of all my Jupiter Notebooks.
Store off all my coursework from UCSD Data Science Course