Projects
Netflix Best Titles
The purpose of this project is to create a presentation to secure stakeholder approval for specific investments in content development. By analyzing top-performing movies and TV shows, we recommend producing a sequel to Red Notice and developing either a new season of Stranger Things or a new TV show incorporating successful elements of the high-performing TV Shows. The call to action is clear: allocate resources to these initiatives to maintain and progress Netflix's competitive edge in the streaming industry.
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Netflix - Introduction of a Singular Metric for Performance
Streaming platforms, such as Netflix, depend on data-driven decisions to enhance viewership and engagement on their platforms. With ever-increasing competition, the challenge lies in predicting which movie or TV show will capture audience interest. This analysis aims to create a Machine Learning (ML) model that can predict movie and TV Show performance based on its metrics. The analysis will also aim to define a singular metric that can be used to assess a movie's and TV show's performance.
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Sleep and GPA
An exploration of the hidden relationship between sleep and Student GPAs.
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Movie Recommender
A TF-IDF based movie recommender using the IMBd database.
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Introductory Framework for DS Analysis of PCOS
Polycystic Ovary Syndrome (PCOS) is a common hormonal disorder in women that can lead to or be a part of various health issues, such as infertility, diabetes, and cardiovascular diseases. Despite its prevalence, the exact causes and patters associated with PCOS remain unclear. Healthcare providers are interested in identifying patterns in patient data that could help predict PCOS diagnosis, progression, or outcomes such as infertility or other health complications. The goal is to help medical providers and patients understand the risk factors better, hopefully leading to more targeted treatment and early intervention.
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Car Theft Analysis
Analysis of car theft trends.
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Maryland Childcare Affordability
Analysis of effects of interstate migration on childcare affordability in Maryland. Project includes an interactive streamlit powered dashboard.
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Sleep Research Proposal
A very important and often neglected part of health is sleep. Sleep plays many vital roles in human health, including maintaining the nervous system, the cardiovascular system, psychological and neurological function, as well as the immune system, just to name a few. Even though sleep is one of the most important aspects of health, the majority of people, especially those following the modern western society schedules, tend to not know or upkeep their sleep health, which causes direct negative impacts on many bodily systems. Although the importance of sleep is known, there are very few research available on the topic when compared to other areas of medicine. As a result, this paper will explore some sleeping patterns and will attempt to establish useful information regarding sleep and sleep health.
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Ozone Forecast
Air quality has a significant impact on public health, particularly among individuals with respiratory conditions, heart disease, and other health vulnerabilities. Forecasting ozone levels in advance can help communities, healthcare providers, and event planners make informed decisions regarding outdoor activities and exposure. This project focuses on utilizing historical ozone data to predict future ozone concentrations in the Baltimore area. By accurately forecasting ozone levels, the project aims to assist in proactive planning to minimize health risks and optimize outdoor event scheduling.
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Gender Predictor
In many pregnancies, standard sonograms may not reveal fetal gender due to positioning or equipment limitations. In other cases, families may not opt for invasive procedures like blood-based genetic tests. This project seeks to explore whether fetal gender can be predicted using early, non-invasive maternal health metrics as a supplemental tool for educational or exploratory purposes.
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