About

Prakash Anand is an experienced Data Science Manager with over 9 years of relevant experience in the field of Machine Learning and Artificial Intelligence. He is currently working at Paytm as a Data Science Manager, where he is responsible for leading a team of data scientists and driving the development of predictive models, forecasting, data mining, and customer analytics/insights. Prakash has a strong understanding of regression, time-series forecasting, simulation, association rules, segmentation, clustering, and classification. He is proficient in data mining using clustering, principal component analysis (PCA), SVM, decision tree, regression, classification, pattern recognition, Random Forest, and other techniques. He is also familiar with tools like R, R Studio, Python, SQL, Tableau, and @Risk. Prakash's educational background includes a Master's degree and an Integrated M.Sc. in Applied Mathematics from the Indian Institute of Technology, Roorkee. He has worked in various positions at Paytm, including Senior Lead Data Scientist and Lead Data Scientist, before being promoted to his current position as Data Science Manager. Prakash's technical skills include Research Scientist, Data Scientist, ML, AI, Python, SQL, SVM, Random Forest, Computer Vision, NLP, Neural Networks, XGBoost, Pandas, Pytorch, BERT, Keras, Deep Learning, Spark, Scikit, and test. He is also a speaker on AI/ML and has delivered talks on various topics related to the field. In summary, Prakash Anand is a highly skilled Data Science Manager with a strong background in Machine Learning and Artificial Intelligence. He is an expert in predictive modeling, forecasting, data mining, and customer analytics/insights and has a deep understanding of various techniques and tools. He is a valuable asset to any organization looking to leverage data to drive business growth and innovation.