Creating a new scale for cyclist visibility based on helmet design and environmental features
Analyzing how a change in air supply will affect network equilibrium and traveler choice.
Given the factors that a user prefer, we propose a fast, scalable search algorithm to determine relevant cities for that user. We have also created an interactive R Shiny app for general use.
Creating a search engine using web scraping and clustering
A tool to help recent college graduates move to an ideal location in times of the coronavirus.
MellieHealth is a physical therapy telehealth platform that integrates computer vision to correct patient form and enable clinics to provide virtual, high-quality care and facilitate faster recovery.
K-Means Clustering model to find the perfect city match for you
Makes picking the fit simple by generating aesthetically pleasing color coordinated outfits in one tap.
Use of K-means clustering to connect users to the location that fits their needs.
Exploratory Data Analysis, Beautiful Tableau Visualizations, and RandomForest Bail Predictions
Predict possibility of infecting COVID 19 via common laboratory test.
Cleaned bail data set and engineered new crime classification features. Mapped bails to zip codes using leaflet and visualized distributions of bails.
91% accurate model to determine level of risk of Covid based on user's physical details so visit to doctors can be planned and people don't panic.
Data scientists aren't the best at human interaction, why not use data to handle the matchmaking for them?
This project is a spatio-temporal analysis that helps identifying the high-risk areas and contributing factors to HF to gain more insights into the HF hospitalization problems in Texas.
Smarter forestry management using weather and climate information
This web app allows users to view COVID-19 data for a given day and compare user-selected variables for all countries.
I created a web app that allows to users to view COVID-19 data graphically (for pre-defined user selected variables) over time for their location of choice.
This project will use the transaction payloads to enable NFT trades in limited sequence information space between users as part of a subnet consortium that seeks to aggregate consumer DNA data.
ScriptSift allows literary agents to quickly discover top-prospect talent that publishers will want to sign thereby driving the proliferation of magnificent works of literature for the world to enjoy.
Elevating supply chain solutions for healthcare
We used an SIR model to model Covid-19 cases and deaths before and after lockdown was lifted, in addition to performing statistical analysis on the data in order to find the limitations of the model.
AI based Fantasy Premier League Soccer team manager