Jan 2017 – Sep 2019 · 2 yrs 8 mos · Madison, Wisconsin Area

• Data Analysis, Transactional Analysis, Data Ingestion, Database Management, Internationalization !!
• ▪Worked for Epic’s interoperability product called Care Everywhere, to exchange patient data among health institutions.
• ▪ Managed and administered projects and development to achieve high-quality releases for Care Everywhere Australia.
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• Contributed in Discrete Data Model for patient's data exchange in Care Everywhere.
• ▪ Architected and designed efficient solutions to Internationalize Epic's data exchange functionality. Leading to a decrease in patient data exchange failure rate for Australia by 95%.
• ▪ Designed and Developed reporting and data analysis solution for Care Everywhere
• Other Interesting Projects at Epic -
• ▪ A new product, Cosmos Research Network, targeted to be the largest patients’ (200M+) data repository.
• ▪ Intended to help healthcare providers with its data mining and recommendation results for better health care.
• ▪ Added data ingestion layer hook in Care Everywhere transactions to aggregate Cosmos Data.

Jan 2016 – Jan 2017 · 1 yr · Gurgaon, India

• Big Data Analytics, Hadoop Architecture, Business Intelligence, App Analytics.
• Lead the technical team of rocQ, a big-data based Mobile App Analytics and User Engagement Platform that analyze data of 20Million+ app users, amounting to 800Million+ daily activities, provides real-time actionable insights to businesses, help app owners use data to manage user interaction and build a relationship with their user base.
• ▪ Lead a team of software devs and data scientists to architect rocQ v2.0 using big data technologies like Spark, Hadoop, HBase, Kafka, Parquet, etc. to scale the system for processing a billion events daily.
• ▪ rocQ v2.0 acquired 20M+ customers, amounting 10 times user acquisition in three quarters, 300% user growth.
• ▪ Designed a yearlong technical roadmap of new features, enhancements, and release of the product.
• ▪ Introduced new features using machine learning library of Spark-MLlib, designed solutions for data mining on data.

Jul 2014 – Jan 2016 · 1 yr 6 mos · Gurgaon, India

• Key Technologies - Hadoop 2.0, HBase, Node.js, Google Cloud Messaging, Amazon CloudFront, Kafka, Akka, Jetty, Nagios, Nginx, MapReduce.
• ▪ Developed a user engagement system for rocQ, using Kafka, Node.js, Akka, HBase
• ▪ An efficient and scalable push notification server and response collection system based on Google Cloud Messaging and Amazon CloudFront.
• ▪ Utilized Hadoop 2.0 architecture; Developed Real Time user segmentation using Spark and HBase.
• ▪ Designed schema in Apache Thrift & Implemented MapReduce jobs over HDFS to store process amount of data.

Apr 2013 – Aug 2013 · 4 mos · Halifax, Canada Area

• Shastri Indo-Canadian Fellow, Computer Vision, Social Network Analysis, Natural Language Processing, Machine Learning
• ▪ Worked on to develop a rough set-based learning approach to analyze image features like object identification, texture, SIFT features, etc.
• ▪ Derived tags using context-based mining of words from the metadata of the image dataset and it's further classification.

May 2012 – Jul 2012 · 2 mos

• Real-time Data Analytics, Data Mining, Splunk Data Visualization, Logging, Automatic Troubleshooting.
• Devised a way to efficiently search, analyze and visualize multi-chassis router logging data for a real-time insight.
• Worked on data visualization tool Splunk and recommended models for collecting and monitoring network log data
• Created a prototype for the development of a software which will automate the troubleshooting of Network Gears, which was further assimilated in Juniper Web monitoring package.