PROJECTS
​In this project, I utilized Excel, SQL, and Tableau to analyze Netflix's extensive dataset of 82,000+ rows, uncovering insights into its shows and movies. Through data simplification and advanced analysis, I identified trends, preferences, and patterns in the content library. This analysis informed strategic decisions regarding content curation and audience targeting, offering valuable insights for the entertainment industry.
This project with the datasets which delves deeply into the change, looking at the fuel transition trajectory over the last several years, regional variations in ZEV adoption rates, the tactics of leading automakers, and the potential market share landscape for BEVs in the future.
This endeavor has The top 100 globally trending YouTube channels are included in the dataset. While calculations on attributes with complete information are performed on all data points, calculations on attributes with missing values throughout the dataset are performed on a random selection of 30 data points that do not have missing values. Every distribution in the dataset is thought to have a normal distribution.
As part of my master's research, I worked on this case study, identifying the main concerns that the study seeks to resolve through the gathering of information from several sources.The process involves interpreting the data in order to get significant insights, patterns, and conclusions from the study.
This project is a component of my master's program in data visualization, and I used Tableau to analyze a dataset on the covid vaccine.
The total number of vaccinations given by countries
•Fully vaccinated vs once vaccinated
•Total cases in worldwide
•Total Deaths worldwide
•Number of Hospital beds per thousand people
This project's objective is to analyze the data that already exists from consumers, whether or not they are only perusing or plan to buy the goods. To estimate the right outcomes, we employed a range of machine learning (ML) ideas, techniques and used Python for building a reference model that significantly improved data management strategies, showcasing advanced technical skills and strategic thinking.
A Face recognition system is a computer based application which is useful for verifying a person from a image source which can be consisting of a single or group image. This is done by comparing selected facial features from the image with already existing face database.
This project aims to enhance efficiency and remote control, this Internet of Things initiative connects physical items via sensors and embedded technologies to communicate data. It's integral to cyber-physical systems, applied in smart infrastructure, with insights and worked on few demonstrations facilitated by IBM IOT tools like Node-RED and Bluemix.
​As a student assistant, I worked on the "IOT based smart irrigation system" project to develop an IOT-based automated irrigation mechanism that turns the pumping motor ON and OFF by passing a command over an IOT platform