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Successfully designed and implemented a dynamic hate crimes dashboard for San Diego using Tableau. The dashboard meticulously compares hate crime statistics between 2023 and 2022, providing valuable insights into the evolving trends. It features an interactive map showcasing San Diego communities, along with detailed visualizations highlighting the top hate crimes and their motivations.
Dive into a captivating exploration of homeschooling trends in the United States with my latest data visualization project. Unveiling insights from the extensive Washington Post dataset spanning 2017-18 to 2022-23, we meticulously dissect the evolving landscape of home-school enrollment. This Shiny and flexdashboard-powered dashboard takes you on an immersive journey, navigating state-level panoramas and delving into the intricacies of individual school districts.
Various simulation runs were performed on the Deep Water Impact dataset to study about the impact of the asteroid when it crashes the ocean surface. The scientific visualization contrasts the water fraction, asteroid fraction, and pressure variables between two ensemble runs. In the first scenario, the asteroid impacts the ocean without undergoing an airburst, while in the second scenario, an airburst occurs as the asteroid breaks apart before reaching impact In all cases the simulation starts with an asteroid falling to earth from the upper atmosphere at a high velocity. The atmosphere and water start in a static state with no kinetic energy. The computational grid is made as small as sufficiently possible while allowing the asteroid to come in at an angle from the longest dimension, impact the center of water surface, and not make the crater in the water extend to the ocean floor.
This simulations were performed using Paraview and the animations were edited in kdenlive .
This is a Data Analysis project focused on the occurences of Tornadoes in the US.We deep dive into the tornado data from the year 1950 through 2021. We use the dataset produced by NOAA's Storm Prediction Center to gain insights into how and which regions were highly affected by the touchdown of tornadoes and the destruction caused by them.
Compared the performance of various Recommender System using models like traditional Collaborative Filtering, Neural Graph Collaborative Filtering and Graph Sage on Amazon Products Dataset with more than 500k data points. The hit-rate for NGCF and GraphSage was 0.817 and 0.846 respectively, comparable to current state-of-the-art-models.
A comprehensive Android application which acts as a repository for preceding years’ engineering papers of SPPU using Android, Java, Firebase. The app has over 2k+ downloads and an average rating of 4.8 on Google Playstore.
This site is under construction and more projects shall be added sooner.Stay tuned!