About

Vibhati Burman is a highly skilled Data Science and Machine Learning professional with over 4.5 years of experience in solving retail domain problems, including demand forecasting, dynamic pricing, markdown pricing, and similar product recommendation. She is currently working as a Data Scientist at Flipkart, where she is responsible for developing and implementing data-driven solutions to improve business operations. Vibhati has a strong academic background, with a Master of Technology (M.Tech.) degree from the Indian Institute of Technology, Kharagpur, and a Bachelor of Engineering (BE) degree from Bhilai Institute of Technology (BIT), Durg. She has also worked as a Graduate Teaching Assistant at the Indian Institute of Technology, Kharagpur, where she gained valuable experience in teaching and research. Throughout her career, Vibhati has demonstrated a deep understanding of various Machine Learning techniques, including ML, DL, and Reinforcement Learning. She is proficient in using popular ML frameworks such as Keras and Scikit, and has experience working with Big Data technologies such as HDFS and Spark. Vibhati is also skilled in using Python for data analysis and visualization, with expertise in libraries such as Seaborn and Pandas. Vibhati's technical expertise extends to developing recommendation systems using XGBoost and NLP techniques. She has a strong understanding of Neural Networks and has used them to develop predictive models. Vibhati is also proficient in SQL and Jupyter, making her a versatile and well-rounded Data Science professional. Vibhati has worked with several prestigious companies, including TCS, where she worked as a Researcher, and Flipkart, where she is currently employed. She has gained relevant experience of 5.95 years in the field of Data Science and Machine Learning. Vibhati is now open to new opportunities and is looking to leverage her skills and experience to take on new challenges in the field of Data Science and Machine Learning. Her technical expertise, combined with her strong analytical skills and passion for problem-solving, make her an ideal candidate for any organization looking to improve their data-driven decision-making processes.