Bhargava Vidiyala

Results-driven and enthusiastic data science enthusiast with hands-on experience gained through internships. Skilled in data collection, cleaning, exploratory data analysis (EDA), and basic predictive modeling using Python. Strong problem-solving abilities and a passion for leveraging data-driven insights to address real-world challenges. Eager to apply and expand skills in a dynamic and collaborative environment to contribute effectively to data-driven projects and organizational success.

• Programming for Everybody- Coursera
• AI for Everyone- Coursera

• Developing solutions for Employee Retention Management

      A detailed study on the accuracy of different algorithms that helps to find solutions for Employee Retention Management.

• House Pricing Prediction

      Using linear regression model to predict and interpret house prices based on various property features.

• Movie Recommendation System

      The  demonstration of  movie popularity with a bar plot and visualizes user ratings through a heatmap, offering insights into preferences. It outlines data preparation and collaborative filtering steps for building a recommendation system, enabling personalized movie suggestions. The analysis of recommendation system outputs provides a comprehensive understanding of its performance in catering to individual user preferences.

• Driver Drowsiness Detection System

      The model uses a CNN algorithm in order to find out whether the driver is awake or fallen to sleep and will notify an alarm which makes the driver to get back into conscious and also sends an email to the respected persons.