Om Bhoite

AI-Driven Medical Diagnosis System

• Completed a 3-month Data Science internship under the supervision of an industry mentor.
• Gained practical exposure to Data Science concepts, analytical thinking, and real-world problem solving.
• Participated in weekly progress review sessions and successfully completed assigned internship tasks.
• Strengthened teamwork, communication, and professional development skills.
• Lern the knowledge about Python Libraries like Numpy, Pandas, Metplotlib etc
• Projects:-

Customer Segmentation Analysis | Data Science Project

• Built a customer segmentation model using the K-Means clustering algorithm.
• Performed data cleaning, feature engineering, and exploratory data analysis (EDA).
• Identified customer groups based on purchasing behavior to support business decision-making.

Machine Learning Project

• Developed a movie recommendation system using content-based filtering to recommend movies based on user preferences.
• Collected, cleaned, and preprocessed movie datasets using Python and Pandas.
• Applied TF-IDF Vectorization and Cosine Similarity to identify similar movies.
• Built a recommendation engine that suggests relevant movies based on a selected title.
• Evaluated the recommendation quality and improved user experience through data preprocessing and feature engineering.
• Visualized clusters and extracted actionable insights using Python libraries
• Developed an AI-powered disease prediction system using Machine Learning algorithms based on user-provided symptoms.
• Designed and implemented the frontend interface to provide an intuitive user experience.
• Collaborated with team members on project planning, system design, and feature implementation.
• Performed data preprocessing and model integration to improve prediction accuracy.
• Contributed to testing, debugging, and presentation of the project.