Parag Bajaj
About Parag Bajaj
Parag Bajaj is a Data Scientist at Bristol Myers Squibb in Hyderabad, India, with experience in natural language processing and sentiment analysis.
Current Position at Bristol Myers Squibb
Parag Bajaj is currently employed as a Data Scientist at Bristol Myers Squibb in Hyderabad, Telangana, India. His role involves working on-site, where he engages in various data-driven tasks and collaborations. His focus includes leveraging data to derive actionable insights and contributing to the company's data science objectives.
Previous Experience at DreamzIoT Technologies Pvt Ltd
Before joining Bristol Myers Squibb, Parag Bajaj worked at DreamzIoT Technologies Pvt Ltd as a Data Scientist from 2021 to 2023 in Pune, Maharashtra, India. During his tenure, he worked on-site, contributing to data preprocessing, feature engineering, and model evaluation. He played a significant role in improving business outcomes through data-driven insights and closely collaborated with cross-functional teams to deliver impactful solutions.
Educational Background
Parag Bajaj holds a Master of Business Administration (MBA) in Accounting and Finance from the Neville Wadia Institute Of Management Studies and Research, completed between 2019 and 2021. Additionally, he earned a Bachelor of Engineering (BE) in Industrial Engineering from Shri Ramdeobaba Kamla Nehru Engineering College, Katol Road, completed between 2015 and 2018. His educational background has equipped him with strong analytical and financial skills, which he applies in his data science career.
Specialization in Natural Language Processing
Parag Bajaj specializes in natural language processing (NLP) and sentiment analysis, specifically for financial sentiment analysis projects. His expertise includes utilizing Python, Power BI, Tableau, and Excel for tasks such as data preprocessing, feature engineering, and model evaluation. This specialization allows him to derive meaningful insights from text data, providing a significant advantage in the data science field.
Collaboration with Cross-Functional Teams
Throughout his career, Parag Bajaj has worked closely with cross-functional teams to deliver impactful data-driven solutions. His ability to assist senior data scientists in building innovative models and segmentations for personalization initiatives highlights his collaborative skills. These efforts have contributed to achieving better business outcomes, showcasing his value in team environments.