About

Arpit Chaukiyal is an Associate Consultant at ZS with a passion for building insight-driven solutions for enterprises to use data for strategic advantage. With over 7 years of relevant experience, Arpit has developed strong analytical, problem-solving, leadership, facilitation, communication, and client/customer relationship management skills. He has been involved in various Proof of Concepts on tools and technologies in Hadoop, Big Data, Spark, and Big Data Analytics on cloud infrastructure provided by Amazon Web Services (AWS). Arpit is currently pursuing a Master of Science degree in Business Analytics from the University of Texas, Dallas. He is focused on learning Data Science tools and techniques, Machine Learning, Neural Nets, and Deep Learning techniques on the infrastructure configured on the cloud provided by IAAS (Infrastructure as a Service) providers like AWS and Azure. Arpit's technical skills include programming in Python (primary), SQL, Java, R, and RShiny. He is proficient in using tools and technologies such as Jupyter Lab, Jupyter Notebooks, Spyder, R-Studio, Pig, Hive, Spark, Scala, Sqoop, Flume, Kafka, SAS, and Microsoft Azure. He is also skilled in using libraries such as sklearn, Tensorflow, Keras, Numpy, Pandas, Plotly, Matplotlib, Seaborn, NLTK, Beautiful Soup, ggplot2, and tidyverse. Arpit has expertise in domains such as Machine Learning, Deep Learning, Data Mining, Predictive Modeling, Clustering & Segmentation, Recommendation Systems, Big Data Analytics, Quantitative Analysis, Natural Language Processing, Social Network Analysis, Exploratory Data Analysis (EDA), Data Science, Data Analysis and Visualization, and Business Intelligence. On a personal level, Arpit is detail-oriented, organized, and precise in his work. He has strong communication skills and is comfortable working independently with numbers. However, he enjoys being part of a motivated team of smart people. Arpit has a Bachelor of Technology degree in Information Technology from Sharda University.