About

Rashmi Singh is an accomplished Associate Manager of Quality Analytics and Data Science at Bristol Myers Squibb. With over 5 years of relevant experience, Rashmi is a skilled data scientist and research scientist with a strong background in NLP and Python. Rashmi's expertise in data science is evident from her achievements at Bristol Myers Squibb, where she has been instrumental in driving quality analytics and data science initiatives. She has a proven track record of developing innovative solutions to complex business problems, leveraging her expertise in NLP and Python to analyze large datasets and uncover insights that drive business value. Prior to joining Bristol Myers Squibb, Rashmi worked as a Data Science Co-op at Bristol-Myers Squibb, where she gained valuable experience in the pharmaceutical industry. She also worked as a Data Science Student Researcher at United Technologies, where she developed a topic modeling system to identify issues from large unstructured chat data using the LDA algorithm in Python. She processed chats using NLP techniques and designed features for the model using Bag of Words and TF-IDF. She also designed an interactive dashboard using QlikSense to identify topic trends across different business units of UTC. Rashmi holds a Master's degree in Data Science from Worcester Polytechnic Institute and a Bachelor of Engineering in Information Technology from K J Somaiya College of Engineering. Her technical expertise includes data science, research science, Bag of Words, NLP, and Python. In summary, Rashmi is a highly skilled data scientist with a proven track record of delivering business value through innovative data-driven solutions. Her expertise in NLP and Python is particularly noteworthy, and she has demonstrated her ability to apply these skills to solve complex business problems. With her strong educational background and extensive industry experience, Rashmi is well-positioned to make significant contributions to any organization she works for.