About

Aditya Shrivastava is a highly skilled Data Scientist with over 5 years of experience in Information Technology. He has a strong background in building models on Classification Analysis, including Logistic Regression and Linear Discriminant Analysis, as well as building Non-Linear Classification models such as Mixture Discriminant Analysis, Quadratic Discriminant Analysis, Regularised Discriminant Analysis, Neural Network, Flexible Discriminant Analysis, Support Vector Machine, K-Nearest Neighbours, and Naive Bayes. Aditya also has experience with Non-Linear Classification with Decision Trees such as Classification and Regression Trees (CART), C4.5, PART, Bagging CART, Random Forest, Gradient Boosted Machine, and Boosted C5.0. Aditya is also knowledgeable in data mining techniques such as Principle Component Analysis (PCA), Association rules and recommendation Systems, and cluster analysis. He has extensive knowledge of Time Series forecasting theory/model and expertise in Time Series Model based techniques like Linear Regression, Auto Regressive models, ARIMA, logistics Regression & Econometric models. Currently, Aditya is working at Manhattan Associates as a Data Scientist. Prior to this, he worked at Google as a Software Engineer and TCS as a Software Engineer Intern. Aditya holds a degree from Birla Institute of Technology and Science, Pilani. Aditya's tech stack includes Data Scientist, Research Scientist, Recommendation system, Naive Bayes, SVM, Random Forest, Software Engineer, and Neural Networks. With over 6 years of relevant experience, Aditya is a highly skilled and knowledgeable Data Scientist who can bring value to any organization.