About

Nanavath Bharath Nayak is a highly skilled and experienced Data Scientist with over 5 years of experience in the information technology and services industry. He is currently working as a Data Scientist at Swiggy, where he is responsible for optimizing the assignment of delivery partners to orders to ensure maximum customer satisfaction with minimal delivery costs. He has formulated this problem as a 0-1 ILP with multi-objective and solved it using Gurobi. Bharath has a strong educational background, having graduated from the prestigious Indian Institute of Technology, Delhi. He is skilled in Natural Language Processing (NLP), Machine Learning, Python, PostgreSQL, C++, and Artificial Intelligence. He has worked on several projects related to NLP, including automated financial crime insights, unsupervised document summarization, and named entity recognition. In his previous role as a Cognitive Data Scientist at IBM, Bharath worked on several projects related to NLP, including automated financial crime insights, trained a binary classifier on Adverse Press data using Ensembled Learning on Naive Bayes, Random Forest, SVM where TF-IDF, Word2Vec, GloVe were used for feature representation, and optimized the processing time of neural-coref from 57 sec to 3 sec. He also designed and developed a software application to simplify the collection of prediction feedback. Bharath has also worked as a Software Developer Intern at Samsung, where he formulated a method to auto-suggest the succeeding Tizen API for code editor and employed Bayesian Networks to generate the frequent usage pattern. Overall, Bharath is a highly skilled and experienced Data Scientist with a strong educational background and expertise in NLP, Machine Learning, Python, and Artificial Intelligence. He is a strong engineering professional committed to delivering high-quality results and is always eager to take on new challenges.