PRATIBHA CHAURASIYA

Data Science and Business Analytics Intern

The Sparks Foundation•  August 2023 - September 2023

Used the sklearn library to split data into train and test groups according to the Pareto Principle (80/20). Achieved a prediction accuracy of 93.67% based on study hours.

Front End Development Intern

Edunet Foundation•  June 2023 - July 2023

Created an identical clone of the original website, duplicating its features and user interface for easy navigation, improved user experience metrics and increased average session time by 10 percent.

Machine Learning Training and Internship

YBI Foundation•  August 2022 - October 2022

Accomplished 7 well-known machine learning algorithms: SVM, K-Means, KNN, Random Forest, Naive Bayes, Linear Regression, and Logistic Regression using Python. In the mobile pricing prediction model, the Random Forest technique achieves the maximum accuracy, which was almost 97.33 percent.