ACADEMIC PROJECTS

Used Python to work with 10,000 reviews from Yelp and utilized text mining concepts to predict the relevance of a review. Developed a functional classifier for accurate and automatic sentiment classification of reviews, using TF-IDF for the basis of text quality. 

Used R Studio and Time Series Analysis methods to predict the 2020 stock data of CVS Health. Developed models and compared them to select the best one.

Used Some Data Analytics tools like SiteMap and Web Scrapper on “Indeed” to get some data on the jobs available.

Then filtered, transformed and parsed the data.
Used various visualization methods like Pandas, Matlabplot, and Seaborn to show some analysis.

Predicted the amount of purchase of a customer on Black Friday to provide promotional offers. Developed customer segments to define a marketing strategy based on their spending habits. Associate products to perform product recommendations and organize store layout.

 Used R Studio to predict the number of bicycles that might be rented on a particular day, taking the season, climate, and temperature into consideration.

Used IBM SPSS to analyze feedback from nursing home employees. Made business recommendations based on insights from the analysis.

Used MS SQL and Visual Studio to develop a database of an educational institution. It includes the following fields: Student, Instructor, Course, Enrollment, and Books. Developed an ER Diagram and some SQL queries for various results.

Developed a theft detection and alert sending system using LabVIEW. A transmitter in the key notifies the owner via a text message if it goes too far from the vehicle. If the owner replies STOP, the fuel to the vehicle would be blocked.

Used LabVIEW to develop a prepaid energy meter that would deduct money based on power usage and restrict usage automatically after the funds have been depleted.