Sumit

Machine Learning Trainer in New Delhi

Machine Learning
Deep Learning

Location: New Delhi, India
Trainer Since: December, 2019

Trainer profile

Machine Learning Trainer in New Delhi

About Sumit

Sumit is an experienced data scientist in the information technology and services industry. He has expertise in various technologies, including Python, Apache Spark, Hive, Apache Storm, and AI. With a strong background in big data engineering, Sumit is skilled in data science, machine learning, and deep learning.

Overall, Sumit has diverse skills that make him an ideal candidate for roles requiring expertise in data science and big data engineering. In addition, his experience in Python, Spark, Hive, and Storm and his strong understanding of AI and machine learning make him a valuable asset to any team that requires data analysis and insight.

Sumit is a Corporate Trainer For

Machine Learning

Training Since:December, 2019

Deep Learning

Training Since:December, 2019

Work Experience

R&D Project Engineer
Computer and Information Technology (IT) · October, 2019 - present
Roles & Responsibilities
- Was responsible for conducting research and development activities to design and develop new products, processes, and technologies
- Managed R&D projects from start to finish, including planning, budgeting, execution, and reporting, to ensure that they were completed on time, within budget, and to the desired quality standards
- Provided technical training to employees and stakeholders to ensure that they had the necessary skills and knowledge to work on R&D projects
- Collaborated with cross-functional teams, including scientists, engineers, technicians, and business leaders, to ensure that R&D projects aligned with business objectives and met customer needs
R&D Project Associate
Computer and Information Technology (IT) · May, 2021 - June, 2022
Roles & Responsibilities
- Was responsible for conducting research and development activities related to projects. It includes analyzing data, performing experiments, and collaborating with other team members to develop new products or improve existing ones
- Managed the project's timeline, budget, and resources. They may work closely with other team members, including project managers, engineers, and scientists, to ensure that the project is on track and meets its objectives
- Documented their research and development work, including maintaining accurate experiments, observations, and data records. This documentation is critical to the success of the project, as it ensures that the team has a clear understanding of the work that has been done and can build on it in the future