About

Aniket Shah is a skilled Data Engineer II at Electronic Arts (EA) with over 6 years of relevant experience in Data Engineering and an in-depth understanding of various Machine Learning (ML) techniques and statistical methods. He is passionate about creating and implementing end-to-end data products that enhance business value by exploring new revenue streams and optimizing current processes. Aniket has an impressive track record of building projects utilizing various techniques such as statistical inference, predictive analytics, ML, and NLP. He is proficient in implementing techniques such as linear regression, logistic regression, time-series forecasting (ARIMA models), decision trees, clustering (K-means, Hierarchical), classification (Naïve Bayes, K-Nearest Neighbor, Support Vector Machine), CNN, regularization, and dimensionality reduction. Additionally, he has expertise in text tokenization, sentiment analysis, and topic modeling. Aniket's software engineering capstone project involved building an intelligent scalable web crawler using Docker and Kubernetes, which was deployed on the Google Cloud Platform. He has worked with top companies such as ICBC (Insurance Corporation of British Columbia) and Agrilogicai Inc. as a Data Engineer and Machine Learning Engineer, respectively. At ICBC, he designed and developed an Automation Test Framework for the execution of Spark test cases on the MapR cluster and developed test cases for various ingestion pipelines as part of an Agile team. At Agrilogicai, he set up a containerized Docker environment for the execution of Tensorflow ML models, ingested and transformed weather data from weather network APIs, and improved prediction of yield by incorporating weather data along with Satellite Imagery into the training and prediction of an ML model. Aniket is a highly educated professional with a Master's in Software Engineering from Harvard University, a Graduate Certificate in Data Science from Harvard Extension School, and a BSc. in Engineering Physics from the University of Alberta. He also has a Professional Certificate in PLCs and SCADA Systems from the Engineering Institute of Technology and a degree in Big Data Analytics and Optimization from INSOFE. Aniket's tech stack includes Data Engineering, ML, test, sentiment analysis, SVM, CNN, tokenization, NLP, Docker, SQL, Kubernetes, Web, Spark, and Tensorflow. With his expertise in data engineering and machine learning, Aniket is a valuable asset to any organization looking to leverage data to drive business growth.