About

Arpit Shah is an experienced Software Engineer with a keen interest in Machine Learning and Data Science. He holds a Master of Science degree in Data Science from Indiana University Bloomington and has over four years of relevant experience. Currently, Arpit works as a Software Engineer at Tesla, where he applies his expertise in developing software solutions for the company's operations. Arpit has previously worked as a Software Developer at GEP Worldwide, where he honed his development skills and worked collaboratively with various teams in an agile environment. He also worked as a Machine Learning - Software Engineer at AVA, a start-up focused on Health, Wellness, and Fitness domain. Here, he was responsible for building a recommendation model for complementary recipes and Machine Learning models for ingredients, meal-type, and cuisine classification of recipes, and also helped in the Software Engineering efforts of the company. Arpit has a diverse technical skillset that includes programming languages such as Python, R, C#, Java, C++, and C. He is proficient in Data Engineering tools such as SQL Server, Apache Spark, Hadoop, Postgresql, MySQL, and MongoDB. He is also skilled in Data Science Tools such as Tensorflow, Keras, NLTK, Excel, Scikit-learn, Numpy, and Pandas. Arpit has expertise in Data Visualization using Tableau, Matplotlib, Seaborn, and ggplot. He has worked on various Machine Learning models such as DNN, CNN, RNN, Linear Regression, SVM, KNN, Boosting, Bagging, and Naïve Bayes. Arpit's technical skills extend to Web Technologies such as AngularJs, JavaScript, HTML, and CSS. He has certifications in Big Data Analytics and Machine Learning, as well as OCPJP (Oracle Certified Java Programmer). Arpit is proficient in other technologies such as GIT, Spring Framework, Spring Boot, Jenkins, Docker, Kubernetes, Hibernate, React, Node.js, Express, Kafka, TFS, MVC, REST, .NET, NUnit, Selenium, JIRA, Flask, Django, and AngularJS. Arpit has previously worked as a Research Analyst at O'Neill School of Public and Environmental Affairs, where he evaluated the effect of COVID on Opioid consumption on 10M users by implementing SQL window functions in Snowflake. He also developed web scraping scripts to collect data to study the spread of loans in the US and examined it using Tableau reports. Arpit is a highly skilled individual with