Adwait Patil
About Adwait Patil
Adwait Patil is a data scientist who studied at Northeastern University, earning a Master's degree in Data Science from 2022 to 2024. He has experience in machine learning, having developed a reduction algorithm that significantly improved runtime efficiency and worked with medical data analysis using advanced models.
Education and Expertise
Adwait Patil completed a Master's degree in Data Science at Northeastern University from 2022 to 2024. Prior to this, he earned a Bachelor of Engineering in Computer Engineering from Terna Engineering College, where he studied from 2017 to 2021. His educational background provides him with a strong foundation in data analysis and machine learning techniques. He possesses advanced knowledge in deep learning and is proficient in using frameworks such as TensorFlow and PyTorch.
Work Experience at Adani Power
Adwait Patil interned at Adani Power in 2021 for a duration of two months. During his internship, he gained practical experience in computer science applications within the energy sector. This role contributed to his understanding of industry-specific challenges and technologies.
Machine Learning Research Intern at AmpViv Healthcare
Adwait Patil served as a Machine Learning Research Intern at AmpViv Healthcare Private Limited from 2021 to 2022 for three months. In this role, he focused on applying machine learning techniques to medical data analysis, which enhanced his skills in data-driven research and model implementation.
Algorithm Development and Machine Learning Projects
Adwait Patil developed a reduction algorithm that significantly decreased the runtime of a machine learning framework by 90%. He also implemented Tabnet and XGBoost models, which improved the efficiency of machine learning processes in medical data analysis. These projects demonstrate his capability in optimizing algorithms and applying advanced machine learning techniques.
Hands-on Experience with Medical Data
Adwait Patil has hands-on experience working with medical data as part of his machine learning research. This experience has equipped him with the skills necessary to analyze complex datasets and apply machine learning methodologies effectively in the healthcare domain.