Gopi Chand Yerukola

7 years experience in Spark, Hadoop, Machine Learning and Deep Learning. Currently working on Spark(Hadoop), Machine Learning and Deep Learning in Cognizant Technology Solutions. Worked in ValueLabs on Machine Learning, Deep Learning and Spark. Worked in product-based startup 'Apervi' where we built in-house Spark ETL Product called Conflux.

Used Spark Machine Learning to predict the life expectancy of components of Car (predictive maintenance), We also built a Machine Learning Workflow Platform using which data analyst can run the predictive maintenance workflow and various other workflows from UI. • Writing multiple Spark Jobs to build Machine Learning Regression Models like Decision Tree Regression, Random Forest Regression and Gradient-Boosted Tree Regression and save them in HDFS location of Amazon EMR.

In Apervi, we built an ETL Product(Runs on Spark) called Conflux, a product that integrates Big Data components Hive, HBase, Kafka etc., traditional components like RDBMS and Files to be able to run on any environment like MapReduce, Storm, and Spark. Conflux is used by analysts and data scientists to build workflows, run jobs, analyse the data flow, visualize the data statistics, etc.

• Involved in developing an application called WIPO-Green using Spring framework. Developed DAO classes using Hibernate. • Writing Spring MVC Controllers and REST calls for communication between UI and back-end database.

Computers, Data Structures, Algorithms,