About

Mayank Baheti is an accomplished Analytics Manager with over 7 years of experience in Data Science, Logistics, B2B Ecommerce, and Machine Learning. He is proficient in R and Python and has hands-on experience with Machine Learning algorithms such as Linear Regression, Logistic Regression, Random Forest, Decision Trees, Naive Bayes, SVM, and SVC. Mayank's working skills include Statistical Analysis, Predictive Modelling, Data Wrangling, and Visualization. Mayank has excellent communication and interpersonal skills, which have helped him build strong working relationships with colleagues, managers, and clients. He is an innovative thinker with expertise in Data Science, Machine Learning, Deep Learning, and Business Strategy. Mayank's Github profile showcases his projects and contributions to the open-source community. Currently, Mayank is an Associate Technical Delivery Manager - Data Science at Accolite. Previously, he worked as a Data Scientist at Solv and Deloitte, where he managed and led cross-industry assignments for clients in the US and India. His key responsibilities included gathering requirements from clients, data exploration, mathematical/statistical modelling, data analysis, and designing, developing, and deploying predictive models and frameworks. Mayank has strong analytical and problem-solving skills and is knowledgeable in different libraries in R and Python, machine learning models, and SQL. Mayank holds a Bachelor's Degree in Telecommunications Engineering from Amity University, Greater Noida Campus, and completed his High School education at Indore Public School. He has relevant experience of 8.61 years and has worked on several key assignments, including analyzing US SEC 10K filings to track changes in risk factors for the Energy and Chemical industry and researching and analyzing open-source data to study the evolution of emerging technologies.