About

Mayank Mishra is an experienced Data Scientist currently working at PayPal. He has a strong background in Machine Learning, Deep Learning, and Spark, and has built predictive models, classifiers, and neural networks using libraries such as Sklearn, Pandas, and PyTorch. Mayank has firsthand experience with Natural Language Processing, Convolutional Neural Networks, and Recurrent Neural Networks, and has implemented multiple language models during his professional career. In addition to his technical skills, Mayank has experience working with Hadoop stack, using Cassandra, Hive, and Kafka. He also has a fair understanding of mathematics, statistics, data structures, and programming. Prior to joining PayPal, Mayank worked as a Machine Learning Engineer at Rakuten and as a Data Scientist at Wolters Kluwer. During his time at Wolters Kluwer, Mayank provided comprehensive analysis and recommended solutions to address complex problems and issues using data and applying advanced analytical methods using Machine Learning and Deep Learning to improve performance. He also optimized production models and scripts to improve performance and built classification models and production-ready scripts using Machine Learning techniques. Mayank holds a Master of Technology in Data Science from Birla Institute of Technology and Science, Pilani, which he is expected to complete in December 2022. He also holds a Bachelor of Technology in Computer Science from Jaipur National University and completed High School in Mathematics from Gyan Deep Sr. Sec. Public School. Mayank's technical skills include Data Science, Research Science, ML, Spark, Python, Neural Networks, Deep Learning, NLP, Cassandra, Scikit, language models, Big Data, Pandas, Pytorch, Hadoop, Kafka, test, Apache Hive, Apache Airflow, SQL, SVM, CNN, RNN, qa, Docker, and Tensorflow. With nearly three years of relevant experience, Mayank is an initiative-taking individual who is always eager to learn and grow in his field.