Gaurav has a masters' degree in Data Science. He is a Data Scientist with a strong background in computer science and mathematics. He has extensive research experience in data structures, statistical data analysis, and mathematical modeling. His data science skills include Python, Matplotlib, Tensorflows, Pandas, Numpy, Keras, CNN, ANN, NLP, Recommenders, Predictive analysis. He has built systems that have used both basic machine learning algorithms and complex deep neural networks. He has worked in many data science projects, some of them are causal inference, product recommendation, user sentiments, Twitter bots, information retrieval, predictive analysis, data mining, image segmentation, user personalization, SVMs, RandomForest, etc.
He created the new benchmark in ""Food Image Recognition"" on AICrowd and his solution is under review in NeurIPS 2021.
He has working experience of more than 5 years, with 2 years in web and ERP development and 3 years in Data Science. He is working in the healthcare domain for 2 years, doing descriptive, predictive, and prescriptive analysis on healthcare data.