Parinay Chaturvedi

Parinay Chaturvedi has a diverse work experience. In 2017, they worked as a High Performance Computing Intern at the Center for Development and Advanced Computing (CDAC). Later that year, they also gained experience as a Research and Development Intern at Siemens. In 2018, they continued their internship at Siemens in the same role. In 2019, they joined Envestnet | Yodlee India as a Senior Software Engineer, focusing on automation of data aggregation pipelines and using machine learning and natural language processing techniques. In 2021, they became a Senior Analyst - Data Science at Envestnet | Yodlee India, where they worked on page classification and data quality improvement using entity extraction algorithms and frameworks. Parinay then joined Ola in 2021 as a Data Scientist, where they worked on various projects related to semantic search, entity extraction, and demand forecasting using NLP techniques and deep learning models. Currently, Parinay works as a Senior Machine Learning Engineer at Level AI since 2022.

Parinay Chaturvedi completed their Bachelor of Technology (BTech) degree in Computer Science and Engineering at the Indian Institute of Technology, Mandi from 2015 to 2019. During the same period, they pursued a minor degree in Management at the same institution. Prior to their undergraduate studies, Parinay received their Secondary Education in Science at Delhi Public School - India from 2013 to 2015.

In addition to their formal education, Parinay has obtained several certifications to enhance their knowledge and skills. Parinay obtained the certification in "Machine Learning and AI Foundations: Recommendations" from LinkedIn in September 2021. In July 2021, they acquired the "Advanced Python" certification also from LinkedIn. Parinay further expanded their expertise by completing the "Deep Learning Foundations: Natural Language Processing with TensorFlow" certification from LinkedIn in July 2021. Lastly, in June 2020, they obtained the "Introduction to Deep Learning" certification from Coursera.