Prakhar Pradhan

Prakhar Pradhan

Data Scientist @ Innoplexus

About Prakhar Pradhan

Prakhar Pradhan is a Data Scientist currently employed at Innoplexus in Pune, Maharashtra, India. He has a background in Civil Engineering from the Indian Institute of Technology, Kanpur, and possesses strong skills in machine learning and deep learning applications.

Work at Innoplexus

Prakhar Pradhan has been employed at Innoplexus as a Data Scientist since 2023. His role involves leveraging data science techniques to support various projects within the organization. Based in Pune, Maharashtra, India, he contributes to the development and implementation of data-driven solutions.

Previous Experience in Data Science

Before joining Innoplexus, Prakhar worked at Neoperk Technologies as a Data Scientist for a brief period in 2023. His experience included remote work, where he applied his data science skills to various projects. Additionally, he held a position as a Business Analyst at PwC in 2022 for two months, where he gained insights into business processes and data analysis.

Education and Expertise

Prakhar Pradhan earned his Bachelor of Technology (BTech) degree in Civil Engineering with a Minor in Industrial and Management Engineering (IME) from the Indian Institute of Technology, Kanpur. He completed his studies from 2019 to 2023. His academic background provides a strong foundation for his work in data science, particularly in machine learning and deep learning applications.

Technical Skills and Specializations

Prakhar possesses strong skills in using PyTorch, a popular framework for machine learning and deep learning applications. He has expertise in implementing Generative AI and Large Language Models (LLM) in data science projects. These technical skills enable him to contribute effectively to innovative data solutions.

Interests and Networking

In addition to his professional work, Prakhar Pradhan has a keen interest in reading and traveling. He actively engages in networking through LinkedIn, where he connects with other professionals in the field, sharing insights and knowledge related to data science and technology.

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