Data Analyst & Aspiring Data Scientist
Hello! I'm Harsh, a data analyst with a passion for data science and machine learning. My journey began with a fascination for how data can drive decisions and uncover insights. I have developed a strong foundation in data analysis and am eager to leverage machine learning techniques to solve complex problems and drive innovation.
Developed a machine learning model to predict movie ratings based on features such as genre, cast, and director. Utilized algorithms including Linear Regression and Random Forest, resulting in a model with high prediction accuracy.
In this project, I leveraged machine learning to predict passenger survival rates based on factors like age, gender, class, and more. It was a fascinating exploration of data preprocessing, feature selection, and model tuning, and it provided valuable insights into how different variables impacted survival outcomes.
The Movie Recommender System project uses advanced machine learning algorithms to suggest movies based on user preferences. By analyzing historical data and user interactions, the system employs collaborative filtering and content-based methods to deliver personalized movie recommendations. This project demonstrates proficiency in data preprocessing, feature extraction, and model evaluation, offering an interactive solution for enhancing user experience in discovering new films.