C
FIU | March 2023 - April 2023
Developed a project using machine learning to predict the occupancy of the room based on environmental factors. I designed the project using Random Forest, Naïve Bayes classifier, SVM, K-Nearest Neighbors, and Logistic Regression to get the best accuracy. Achieved an accuracy of 99.3% in predicting the occupancy of a room using Random Forest.
Aditya Engineering College | January 2021–July 2021
Lead a 4-person team by coordinating and leading team members to design the detection system., Designed a prediction system, which can detect fake news using machine learning algorithm. I designed the system using Naïve Bayes classifier., Achieved an accuracy of 85% in predicting fake news.
Analyzed a large dataset of customer sales data using Python and SQL to uncover trends and insights. Conducted data cleaning and preprocessing to ensure data accuracy and reliability. Applied statistical analysis and visualization techniques to identify key sales drivers and customer behavior patterns. Presented findings in a comprehensive report, leading to actionable business recommendations that increased sales by 10%.