Neha Gaur
About Neha Gaur
Neha Gaur is a Staff Data Scientist currently working at Ushur in Bengaluru, Karnataka, India. She has extensive experience in data science and MLOps, having previously held positions at Genpact, WNS Global Services, and Zibal Technologies Pvt. Ltd.
Current Role at Ushur
Neha Gaur serves as a Staff Data Scientist at Ushur, where she has been employed since 2022. In this role, she focuses on developing advanced data science solutions and contributes to various projects that enhance the company's capabilities in automation and analytics. Her expertise in machine learning and data engineering supports Ushur's mission to improve customer experience through intelligent automation.
Previous Experience at Genpact
Prior to her current position, Neha worked at Genpact as a Consultant Data Scientist R&D for 11 months in Noida, Uttar Pradesh, India. During her tenure, she implemented automated Site Reliability Engineering (SRE) solutions and integrated various third-party tools and APIs. This experience allowed her to enhance her skills in operational efficiency and system reliability.
Experience at WNS Global Services
Neha Gaur held the position of Senior Associate in Data Science and Analytics at WNS Global Services for 8 months in Gurugram, Haryana, India. In this role, she utilized a range of Python libraries for natural language processing, including Pandas, Numpy, Scikit-learn, Spacy, NLTK, and Gensim. Her work contributed to the development of data-driven insights and analytics solutions.
Background in Artificial Intelligence Development
Neha has experience as an Artificial Intelligence Developer at Zibal Technologies Pvt. Ltd. from 2018 to 2020 in the Noida Area, India. In this position, she focused on Rasa implementation for chatbot development, enhancing her skills in conversational AI and machine learning applications.
Education and Academic Qualifications
Neha Gaur completed her Bachelor of Engineering in Electronics and Communications Engineering from Gwalior Institute of Technology & Science. She also attended Ramshree India International School and Kendriya Vidyalaya for her earlier education. Her academic background laid a strong foundation for her career in data science and engineering.