SBSaharsh Barve
@saharshbarve
Research Intern at University of New South Wales
Vadodara, India
Saharsh Barve is a Computer Science Engineering student with a strong academic background and practical experience in data science. He has conducted research in advanced clustering methods for remote sensing data and performed semantic segmentation analysis using Python and Keras. His skills include proficiency in ML, data analytics, and leading departmental initiatives.
Experience
Research Assistant - Dept. of Computer Science & Engineering
Manipal Institute of Technology
Performance analysis of different models in the task of semantic segmentation of weed crops from paddy field images to assist farmers in crop management and practice precision agriculture. Used: Python, Keras.
Research Intern - School of Mathematics and Statistics
University of New South Wales
The aim of the research is to propose an unsupervised machine learning framework via advanced clustering methods for mapping and analysis of coral reef communities using remote sensing data. Used: Python, Scikit-learn, Rasterio.
Data Analyst Intern
Ugam Solutions Pvt. Ltd.
Worked on a project to create a rule-based automated web scraper to significantly cut down on human efforts required to create & maintain crawl scripts. Reduced the human efforts and time required by 60% as compared to manual scrapers.
Education
Manipal Institute of Technology
B.tech Computer Science Engineering
Computer Science Engineering