Mohini Chaudhari

Mohini Chaudhari

About Mohini Chaudhari

Mohini Chaudhari is a Deputy Manager at Mettler-Toledo International, Inc, where she designs and develops innovative solutions to improve product quality and efficiency. She has a strong academic background in computer engineering and big data, along with extensive experience in teaching and data science.

Work at Mettler-Toledo International

Currently, Mohini Chaudhari serves as Deputy Manager at Mettler-Toledo International, Inc. since 2024. In this role, she is responsible for designing and developing innovative solutions aimed at enhancing the quality, efficiency, and performance of the company's products and processes. Prior to her current position, she worked as a Data Scientist and Assistant Manager from 2021 to 2024, where she utilized her expertise in data processing and analysis.

Education and Expertise

Mohini Chaudhari holds a Master of Engineering in Computer Engineering from Pillai Institute of Information Technology, which she completed from 2013 to 2015. She also earned a Bachelor of Engineering in Computer Engineering from the University of Mumbai. Additionally, she studied Big Data Engineering at the Birla Institute of Technology and Science, Pilani, achieving a Post Graduate Program in Big Data Engineering from 2017 to 2019. Currently, she is pursuing a Doctor of Philosophy in Information Technology at Thadomal Shahani Engineering College since 2022.

Professional Background

Before joining Mettler-Toledo, Mohini Chaudhari worked as an Assistant Professor at Vidyalankar Group of Educational Institutes from 2016 to 2021. She also served as a Visiting Professor at Pillai College of Arts, Commerce and Science from 2013 to 2016. Her teaching roles contributed to her experience in academia and her ability to conduct hands-on workshops on artificial intelligence, machine learning, and data science.

Research and Publications

Mohini Chaudhari has published multiple papers focusing on machine learning techniques and hybrid algorithms for sentiment classification. Her research contributions reflect her commitment to advancing knowledge in the field of data science and machine learning.

Technical Skills and Tools

Mohini utilizes a range of technical tools for data processing and analysis, including Python, R, Tableau, Power BI, and KNIME. These tools are essential for her role in developing innovative solutions and enhancing the performance of Mettler-Toledo's products and processes.

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