About

Radhika Parik is a Senior Software Engineer - Machine Learning at LinkedIn with over 7 years of relevant experience. She holds a Master's degree in Computational Data Science from Carnegie Mellon University (School of Computer Science) and graduated in Computer Science and Economics from BITS Pilani Goa campus, India. Radhika has worked for two years in the data engineering domain at Walmart Labs, Bangalore, where she focused on scaling stand-alone algorithms to perform efficiently for big data on platforms such as Hadoop and Spark. She has worked closely on real-world forecasting and optimization problems in the Supply Chain and Real Estate domains. As a graduate student, Radhika is studying the field of Machine Learning and its applications in domains such as text mining and big data engineering. She hopes to leverage this knowledge to build scalable Machine learning models to solve real-world business problems. Radhika's work experience includes developing ETL Pipelines for Web Chat Transcripts using Hadoop technologies such as Hive, Pig, and Oozie. She has also implemented Machine Learning Techniques such as SVM and Logistic Regression on a Real-Time Predictive Web Platform for several clients. Radhika has a strong technical background in ML, Software Engineering, Big Data, Data Engineering, Spark, Hadoop, Data Scientist, SVM, Web, ETL, and Apache Hive. She has worked as a Machine Learning Engineer at Walmart, where she worked on Big Data technologies such as Apache Hadoop and Apache Spark to scale statistical models in the domains of Retail, Supply Chain, and Real Estate Management. Radhika has successfully scaled several Time-Series based forecasting algorithms in R to enterprise-level Hadoop and Spark applications. Radhika's work experience and education have provided her with a unique set of skills and knowledge that she can leverage to build scalable Machine learning models to solve real-world business problems. She is a highly motivated and dedicated professional who is passionate about using technology to solve complex problems.