Abhit Maurya
About Abhit Maurya
Abhit Maurya is a Machine Learning Engineer currently working at IDfy in Mumbai, India, where he develops data pipelines for identity verification and fraud detection. He has a strong educational background in Computer Science and Data Science, and aspires to become a leader in the data science field.
Work at IDfy
Abhit Maurya has been employed at IDfy as a Machine Learning Engineer since 2021. In this role, he develops scalable and robust data pipelines specifically designed for identity verification and fraud detection solutions. His work contributes to enhancing the security and efficiency of the company's offerings. Abhit's expertise in machine learning enables him to utilize various algorithms to process and analyze large datasets effectively.
Previous Experience at Larsen & Toubro Infotech Ltd
Before joining IDfy, Abhit Maurya worked as a Project Trainee at Larsen & Toubro Infotech Ltd (LTI) for three months in 2019. This role provided him with foundational experience in the technology sector, allowing him to apply his academic knowledge in a practical setting.
Experience as Data Analyst at E2open
Abhit Maurya served as a Data Analyst at E2open from 2019 to 2021, during which he worked for two years in the Greater Bengaluru Area. In this position, he focused on analyzing data to support business decisions, further developing his analytical skills and understanding of data-driven processes.
Education and Expertise
Abhit Maurya holds a Master of Science (MS) in Computer Science from Thakur College of Science & Commerce, which he completed from 2019 to 2021. He also pursued an Executive PG Programme in Data Science with a specialization in Data Engineering at the International Institute of Information Technology Bangalore from 2021 to 2022. His educational background equips him with a strong foundation in data science and machine learning.
Achievements and Certifications
Abhit Maurya has received multiple honors and certifications for his excellence and innovation in data science. Notable recognitions include the Innovation Award and Spot Awards, which highlight his contributions and commitment to the field. These accolades reflect his dedication to continuous learning and improvement in his professional journey.