About

Karishma Babbar is an experienced Data Scientist with over 5 years of relevant experience in the financial services industry. She has a strong background in Statistical Analysis & Inference, Machine Learning (Deep Learning), NLP, and Algorithms. Karishma holds a B.Tech degree in Electrical, Electronics, and Communications Engineering from Indraprastha Institute of Information Technology, Delhi. Currently working as a Data Scientist at infoedge, Karishma has previously worked at S&P Global in various roles including Automation Associate (Python), Data Scientist (Machine Learning, NLP, Deep Learning), and Sr Automation Specialist (BluePrism, Python). In these roles, she has developed expertise in Python, E-commerce, C, Java, and Entrepreneurship. Karishma is skilled in researching, developing and implementing complex algorithms, and has experience in Information Retrieval, AI, Scikit, MongoDB, XGBoost, Random Forest, Keras, Selenium, MySQL, Flask, Web, and Java. Karishma's technical expertise includes NLP, Research Scientist, Data Scientist, ML, Deep Learning, Python, SQL, Pandas, Spark, Databricks, and Information Retrieval. She is a strong research professional with a demonstrated history of working in the field of Data Science. Karishma has a passion for using data to drive insights and business decisions. She is a quick learner, has excellent problem-solving skills, and is always looking for ways to improve her skills and knowledge. Overall, Karishma Babbar is a skilled Data Scientist with a passion for using data to drive insights and business decisions. She has a strong background in Statistical Analysis & Inference, Machine Learning (Deep Learning), NLP, and Algorithms, and is proficient in Python, SQL, Pandas, Spark, Databricks, and Information Retrieval. Karishma is a quick learner, has excellent problem-solving skills, and is always looking for ways to improve her skills and knowledge.