Projects
Reddit Analysis
This project intricately examines Taylor Swift's music, utilizing features from Spotify and insights from Reddit discussions. Through meticulous analysis, it aims to unveil the nuances of Swift's musical impact, providing a compelling exploration of her artistic contributions and lasting legacy.
UFO Sightings Analysis
This project will take you on a captivating adventure with four Georgetown University students who harness their Data Science skills to analyze and visualize UFO-related data. Join them as they explore the realm of UFO sightings, driven by their fascination with extraterrestrial life and a quest to increase their chances of witnessing a UFO firsthand.
Soccer Match Summarization
A data-driven project that utilizes scraped data from goal.com to extract essential information from soccer match reports. By analyzing and summarizing the data, the project aims to generate concise summaries that encapsulate the essence of each game, providing a quick and informative overview of the matches.
Diabetes Prediction
Determine your diabetic status effortlessly with the "Diabetes Checkpoint Pro App." Gain insights into the app's functionality by exploring the report, which elucidates the exploratory data analyses and machine learning processes integral to its classification capabilities.
Data Science JobHunt
Embark on a transformative journey with this comprehensive report as we navigate the dynamic landscape of Data Science employment. Gain valuable insights, industry connections, and data-driven strategies to shape a prosperous career in this exciting field. Let's transform uncertainty into opportunity and empower you in your job search.
Demarcation Line Detection
Embark on a deep learning endeavor focusing on the crucial task of detecting demarcation lines during cross-linking surgery for severe cases of keratoconus (a condition characterized by corneal thinning leading to visual impairment). This project delves into the cutting-edge U-net architecture, navigating the intricacies of working with real-time medical image data to address the challenge.
Asteroid Diameter Prediction
A captivating data science project that utilizes machine learning techniques to estimate the diameters of asteroids. By leveraging existing observations and attributes, this project aims to enhance our understanding of asteroid behavior, potential impact risks, and contribute valuable insights for space agencies and researchers in mitigating potential threats from these celestial bodies.
Geospatial and Statistical Analysis of Capital Bikeshare (CaBi)
This project focuses on analyzing the attributes and characteristics of Capital Bikeshare, the popular bike-sharing system in the DC metro area. The analysis includes exploring user types, bike types, ride duration, distance traveled, and their interplay to gain insights into usage patterns and revenue generation.
Thrombosis Analysis
A project where Raghav, a data scientist, conducts an in-depth exploration of medical data related to thrombosis, a severe complication in collagen diseases. The objective is to provide visual insights and meaningful patterns to aid in understanding the disease mechanisms and potentially make groundbreaking discoveries in the field of immunology.
Electricity Consumption Analysis
This report explores power consumption patterns in three Swiss households to uncover insights on appliance usage trends. Interactive visualizations are employed to understand hourly and daily behaviors and provide suggestions based on the findings.
Employment Analysis
This project focuses on exploring the correlation between job market dynamics and organizational performance, influencing factors for job seekers, including pay, work environment, and benefits. It empowers individuals with data-driven knowledge to make informed career decisions and pursue rewarding opportunities.
