Working on Impact of training data selection on testing of Machine Learning model.Using different data selection with image processing for selection of images for convolutional neural network for testing of the images by applying machine learning, deep learning methodologies and big data analytics. ►Working on TensorFlow framework with python programming in Linux environment. Shell scripting for training and testing different datasets.►Use of Tableau, gnu plot, matplotlib, Microsoft excel for potting graphs for the results of training and testing.►Use of Microsoft office tools like (Word, Excel , PowerPoint) for presentations and other descriptive objectives.►Using python for creation of machine learning models for correct evaluation of data and image processing.►Worked on project with scaling up machine learning application on distributed systems using spark.►Worked on machine learning project for classification of different types of wines on the basis of where it was grown and generated using the classification techniques of machine learning.►Project on reengineering and maintenance, created a testing approach for migrating of legacy systems.►Performance evaluation on machine learning project on Distributed TensorFlow and TensorFlow on single machine to evaluate the difference in completion time and accuracy of the application on these two different frameworks.►Creation of detailed report of each of the project using visualization tools like tableau and gnu plot. Detailed report with background details and experimental analysis for each of the project.

► Assisted the integration of different applications and product teams by the understanding workflow and enhanced product performance by proper end to end testing and performance evaluations through different tools like HP load-runner , postman, Jmeter and other metrics. ► Analysed the planning space by identify patterns in workflow and built trackers for critical decision making.► Deep dived into various aspects of distribution management system such as time window constrained deliveries, route delays, dispatch delays etc. in the warehouse.► Identified process and system improvement opportunities by monitoring application for different servers in different locations.► Developed, implemented and automated processes to collect and manage data from multiple sources through SQL queries and Python

Worked on Oracle forms and ADF for Application Development of Distributed Management System for my retail client.►Supported the created application throughout for code level defects as well as server level support.►Worked on requirement analysis, requirement gathering, application development, unit testing, sanity testing, bug fixes, application monitoring, automation testing using TOSCA, end to end integration support and analysis, end to end testing, performance testing using JMeter, Postman, HP LoadRunner, quality analysis and also creating business level document creation for understanding the application.►Worked on Retek Merchandising system, Bamboo Rose GTM, DHL, and OpenText for end-to-end Integration and its end-to-end testing.►Worked on severity 1 level defects for CPU usage, batch processes and memory usage.►Created moderately complex code/scripts to test the systems, implemented test harness and infrastructure when necessary.►Worked closely with different teams like development, support, business and helped them instrumenting their workflow to build a comprehensive picture of velocity, coverage and quality.►Shown up hands on ability to automate repeated tasks and build coverage throughout new and existing infrastructure.►Planned, deployed and configured new systems changes when required with the system change request.►Worked on a migration project with migrating Oracle ADF forms to Angular JS platform, by following the functional requirements and adjusting with best of the business requirements.►Experience with working on Agile and iterative Waterfall application development model projects.►Collaborated with engineers from other teams to identify patterns with defects and implement solutions and proper documentation for each defect fix with ticket closing formalities on service now and Jira.