𝗚𝘂𝗮𝗿𝗱𝗶𝗮𝗻 𝗠𝗲𝘀𝗵 (𝗣𝘆𝘁𝗵𝗼𝗻, 𝗧𝘆𝗽𝗲𝗦𝗰𝗿𝗶𝗽𝘁, 𝗘𝗧𝗟, 𝗨𝗻𝗶𝘁 𝘁𝗲𝘀𝘁𝗶𝗻𝗴, 𝗣𝘆𝘁𝗲𝘀𝘁, 𝗔𝗪𝗦- 𝗚𝗹𝘂𝗲, 𝗦𝟯, 𝗟𝗮𝗺𝗯𝗱𝗮, 𝗗𝘆𝗻𝗮𝗺𝗼𝗗𝗕, 𝗦𝗡𝗦, 𝗦𝗤𝗦, 𝗖𝗹𝗼𝘂𝗱𝗪𝗮𝘁𝗰𝗵)• Performed ETL operations on Analytical data from Datawarehouse to get necessary carton state, provenance information, etc. needed for risk score generation.• Once the risk scores are generated bin checks are produced to FC’s that subscribed to our service based on the capacity, they provided us.• Extensively worked with AWS services like IAM, Lambda, S3, SNS, DynamoDB, VPC, CloudWatch etc. to process, store and manage data.• Responsible for determining value of EU expansion for Guardian Mesh Project by conducting POC on a subset of FCs in EU region.• Improved the find rate by 7% on the Broken Set defects by identifying potential signal that could be used in risk score generation.𝗦𝗵𝗲𝗿𝗹𝗼𝗰𝗸 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 (𝗣𝘆𝘁𝗵𝗼𝗻, 𝗧𝘆𝗽𝗲𝗦𝗰𝗿𝗶𝗽𝘁, 𝗨𝗻𝗶𝘁 𝗧𝗲𝘀𝘁𝗶𝗻𝗴, 𝗣𝘆𝘁𝗲𝘀𝘁, 𝗔𝗪𝗦- 𝗚𝗹𝘂𝗲, 𝗦𝟯, 𝗟𝗮𝗺𝗯𝗱𝗮, 𝗗𝘆𝗻𝗮𝗺𝗼𝗗𝗕, 𝗩𝗣𝗖, 𝗥𝗼𝘂𝘁𝗲𝟱𝟯, 𝗦𝗡𝗦, 𝗦𝗤𝗦, 𝗖𝗹𝗼𝘂𝗱𝗪𝗮𝘁𝗰𝗵)• This project involves various components but the main idea is to have an Authoritative Defect Store for store defect information which will be used by downstream consumers in providing remediation or coaching the associates, vendors or suppliers.• Responsible for Analysis (POC), Design, Development of Event Ingestion component which consumes data from upstream sources, designed it to consume in an efficient and cost-effective way.• Responsible for • Responsible for Design and Development of Intel Graph which stores the defect information in the form of graph, for each defect we assign a label which determines the category of defect.• SME on the team for moving all the data produced in the project to Datawarehouse (RedShift) and for analytical purpose.

• Built a full stack project for retrieving employee details, used JWT for login authentication. Enhanced the performance of the application by using Sequalize ORM for MySQL. Gained firsthand experience with Angular, Git/GitHub, Django, Flask.• Worked on project for health care client where we had to design website with dashboards and forms with animations.• Used Django configuration to manage URLs and application parameters.• Used Python and Django to interface with the jQuery UI and manage the storage and deletion of content.

• Responsible for developing Responsive Web Application for Convergence 2k18. Implemented Mobile-First responsive website using Bootstrap, jQuery and JavaScript which helped to increase User Interaction and Experience. • Worked in a team of 4 on an IOT based Deep Learning project using Raspberry-pi bot, enabled the movement of the bot and built a Web Application for controlling the movement of bot using Bootstrap, JavaScript and web-io-pi framework. • Project deals with showing the performance of the Network by introducing it to new environments and show the detection of objects along the path of its course.• Trained a Neural network using a dataset to detect objects, detection algorithm is optimized to produce a better accuracy.• The Controlling of the bot and Streaming can be done from a web browser.• Managed the flow of project by following SDLC, had daily stand ups and meet with mentor every 2 weeks to update status of project and get feedback.