SHUBHAM RAHANGDALE
@Shubham_io
SHUBHAM RAHANGDALE
@Shubham_io
I'm Shubham Rahangdale, a B.Tech student in AI and Machine Learning at Sagar Institute of Research and Technology, Bhopal. I have experience in machine learning projects, like predicting heart disease
I'm Shubham Rahangdale, a B.Tech student in AI and Machine Learning at Sagar Institute of Research and Technology, Bhopal. I have experience in machine learning projects, like predicting heart disease
Bhopal, India
I am Shubham Rahangdale, a B.Tech student specializing in Artificial Intelligence and Machine Learning at Sagar Institute of Research and Technology, Bhopal. With a strong foundation in computer science and a passion for harnessing technology to solve real-world problems, I have hands-on experience in machine learning and data science.
I have worked on impactful projects, including:
Predictive Modeling for Cardiovascular Diagnosis: Developed models to enhance early detection and treatment options for cardiovascular diseases.
AI-Driven Inspection System for Institutions: Focused on leveraging AI technologies for accurate assessments of infrastructure, faculty qualifications, and student performance.
Restaurant Rating Predictions and Recommendations: Worked during my internship at Cognify Technologist, developing predictive models for restaurant ratings.
Intelligent Crop Selection: Leveraged machine learning for optimal soil-crop matching.
Bus Reservation System: Created a system with sample data for Indian buses, passengers, and reservations.
Dynamic Data Generator: Designed a project to generate synthetic data based on user-defined features.
Hierarchical Contextual Classifier Algorithm: Developed a machine learning algorithm for hierarchical classification of textual data.
Real-Time College Infrastructure Analysis: Analyzed uploaded images to detect defects and assess infrastructure condition.
AI-Driven Real-Time Data Analysis Platform: Creating a platform that includes all statistical methods for analyzing CSV datasets and generating visualizations.
Dynamic Visualization for Hierarchical Contextual Classifier: Implemented dynamic visualizations to showcase the classifier's performance.
Recruitment and Assessment Centre (RAC) Project: Developed a solution to match expert profiles with interview board subjects and assess candidate suitability.
As the Data Analyst Lead at Google Developer Group (GDG), I guide peers in data analysis and project development, fostering a collaborative learning environment. Proficient in Python, SQL, Power BI, and Natural Language Processing (NLP), I tackle complex data challenges effectively. My active participation in hackathons and research fairs, such as the International Innovation and Research Fair at IIT Mandi, has provided me with valuable networking opportunities and insights into the latest industry trends. I am committed to continuous learning and aspire to create innovative AI solutions that positively impact society.