I am working in Bank of America, Mumbai and earlier worked in  TCS Research and Innovations Lab, Mumbai.

    I have experience in various technologies along with capable in writing and implementing algorithm for Scalable Computation in different Frameworks. Working in a environment of BIG Data and Machine Learning.  We got some good publications which are already published and some need to be published based on the product which i have developed in TCS Research named as 1) Model for Performance Assurance on High Volume for Applications on SPARK deployed on HDFS.

 2)Machine Learning Based Model in R as well as in Spark using historical data and Auto Tuner for Spark.

           Recently my one of the publication accepted in VLDB 2017(Germany)  and i have filed one patent also. 

              Along with that the nature of my master degree(University of Hyderabad) course has prepared me for the position. I did my MTech project in Hadoop and Twister framework. Project based on the MapReduce programming model. I gave scalable approach for Feature Selection through which we are able to process large datasets like KDDCup-99, BaseHock and etc. We remove the redundant attribute which is present in such massive datasets using our proposed Algorithms.

1)Performance Assurance Model for Applications on SPARK Platform

2)Scalable quick reduct algorithm: iterative MapReduce approach

3) Scalable IQRA_IG algorithm: an iterative MapReduce approach for reduct computation

4) SPARK Job Performance Analysis and Prediction Tool

5) MCC and Big Data Integration for Various Technological Frameworks.

1) Big Data and Various Technology (2 day workshop at VR Siddhartha, Vijaywada)

2) Conference on Computer Measurement Group, India (at TCS Lab, Mumbai)

3) Machine Learning and their Real Time Application (2 day workshop at JNTU, Anantpur, Andra Pradesh)

4) Big Data with Machine Learning (1 daya workshop at CVSR College of Engineering, Telangana)

5) Conference of Soft Computing (at PVPSIT, Vijaywada)