Vedant Shivaji Gadage
Computer Engineering undergraduate with strong foundations in Software Development, Data Structures & Algorithms, Object-Oriented Programming, Database Management Systems and Machine Learning. Experienced in developing predictive analytics and AI-powered applications using Python, Scikit-learn and Streamlit.
Passionate about Artificial Intelligence, Data Science and building scalable software solutions to solve real-world problems.
Experience
Data Analytics Intern
Codec Technologies Pvt. Ltd
Remote
Worked on data preprocessing, exploratory data analysis and predictive analytics using Python, Pandas and Scikit-learn. Performed feature engineering, data visualization and analytical modeling on real-world business datasets. Built predictive analytics solutions while gaining practical exposure to end-to-end machine learning workflows.
Education
Dr. D. Y. Patil College of Engineering and Innovation
Bachelor of Engineering
CGPA: 8.8
Skills
Projects
Telecom Customer Churn Prediction System
Python, Scikit-learn, Streamlit
Developed a machine learning model to predict telecom customer churn using classification algorithms. Performed preprocessing, feature engineering and model evaluation to improve prediction performance. Built and deployed an interactive Streamlit application for real-time predictions. Customer Churn Prediction Repository
AI-Based Healthcare Disease Prediction System
Python, Scikit-learn, Streamlit
Developed a disease prediction system using supervised machine learning techniques. Implemented preprocessing, feature selection and model optimization for improved accuracy. Designed and deployed a Streamlit application for real-time disease prediction. Healthcare Disease Prediction Repository
Lyric Bridge AI – Multilingual Lyrics Translation Platform
Python, Whisper, NLP, LLMs
Designing an AI-powered platform to automatically translate multilingual song lyrics into English. Planning to integrate Whisper and LLMs while preserving lyrical meaning, timing and context. Building an automated pipeline for lyric extraction, translation and subtitle generation.
Aero Hydra Analytics – Aircraft Hydraulic Safety Simulator
Python, Data Science, Simulation
Designing a simulation platform to evaluate aircraft hydraulic line safety and reliability. Applying predictive analytics and data visualization to identify high-risk routing scenarios. Generating data-driven recommendations for safer hydraulic system layouts.
Certifications
AICTE Data Analytics Internship
Advanced Course on Green Skills & Artificial Intelligence
Leadership / Extracurricular
Computer Engineering Student
Dr. D. Y. Patil College of Engineering and Innovation
Actively participated in technical workshops, coding competitions and hackathons focused on Artificial Intelligence and Software Development. Developed multiple machine learning applications and deployed them using Python and Streamlit. Passionate about hiking and exploring historical forts across Maharashtra, strengthening leadership, teamwork and problem-solving abilities.