shrinidhi kanchi

• Proposed through a POC, a project for the subscriber data analysis as a platform solution which not only could be used for Verizon network data but also for some other vendors like American Movils, telcel etc • Worked extensively on the middle tier APIs for the above product’s portal using REST and spring framework.

• Owned two modules ”Flume-ASUP and ConfigLoader-Parser”, which extracted the raw data, parsed, analysed and loaded the panic patterns into Solr. • Contributed immensely to the non disruptive Tech stack upgrade of CDH in the application, for which I was accorded a spot-award. • Was one of the core members included in the product re-architecture moving from map-reduce to Spark, Dockerization and Kafka implemented in micro service architecture,

• Built a product to perform data extraction and analysis to visualize all the conversions that had taken place, number of successful conversions and the timeline state of an object • Reporting of the results in graphical representations using Python scripting

1. Machine Learning - I 2. Information Retrieval and Data Mining 3. Distributed Data Management 4. Social Web Mining 5. Functional Programming 6. Collaborative and Embedded Intelligence

1. Algorithmic approach to problem solving 2. Java 3. Computer Architecture 4. Cryptography 5. Computer Networks 6. Probability, statistics 7. Operating Systems 8. Software engineering 9. Linux and unix operating systems. 10. Internet Technologies