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RISHABH KHOT
Address: 700 Health Sciences Drive, #2018, Stony Brook, NY, 11790. Contact: (631)-710-0108
rishabh.khot@stonybrook.edu | https://www.linkedin.com/in/rishabhkhot/ | https://github.com/RishabhKhot
EDUCATION
Master of Science in Computer Science | Stony Brook University | GPA: 3.4/4 (Sep’19 –May’21)
Analysis of Algorithms, Artificial Intelligence, Database Systems, Data Science Fundamentals, Visualization, Probability Statistics
Teaching Assistant – Data Structures | Stony Brook University (Sep’19 –Dec’20)
Bachelor of Engineering in Computer Engineering | Mumbai University | CGPA: 8.76/10 (Jun’13 –Aug’17)
Data Structures, Algorithms, Machine Learning, Software Engineering, Computer Organization & Architecture, Mobile Computing,
Operating System, Computer Networks, Cryptography & System Security
SKILLS & ABILITIES
Programming Skills: Java, Spring Boot, Python, Scala, Jenkins, Selenium, TestNg, JUnit, Cucumber, Flask, HTML, CSS, JavaScript,
PHP, Bootstrap, Ionic 3, D3.js, AWS, Docker, WinAutomation, Tableau, Splunk, ELK
Database Skills: MySQL, Oracle SQL, PostgreSQL, JQL
EXPERIENCE
Software Developer Engineering Intern | Nomura Holdings Inc. (Jun’20 –Aug’20)
• Implemented Performance Framework using Spring Boot for a Trade Processing Application
• Validated the trade messages using camel trading service in under 10ms and visualized the trade time using Kibana
• Created a test framework in Zephyr using the API to mark the analyses as passed/failed before reaching a specific threshold
• Created Load/Stress testing by speed sending 100 test messages using JMS queues and thus reducing the total time around 10 secs
• Developed a webplayer utility for statistics of trade messages, executed in Jenkins and visualized the data on Splunk
Software Engineer | JP Morgan Chase & Co. (Jul’17 –Jun’19)
• Implemented 115 automation scripts and regression scenarios which spared nearly 800 valuable minutes of human effort per day
• Created around 550 Test Scenarios and found more than 200 potential defects
• Efficiently handled the automation upgrades solely by being a Subject Matter Expert
• Worked on Vendor MIS Application by accurately analyzing and testing nearly 2.5L data in Tableau
• Managed a team by training them, monitoring their work and made sure to have a teamwork
• Implemented automated flow of application by developing a bot using WinAutomation
• Implemented Continuous Integration and Continuous Deployment using Jenkins
• Achievement - Scored 100% in the CodeVue Competition as part of the aptitude test for the hiring process of candidates
PROJECTS
Causal Link Detective Game (Jan’20 – Dec’20)
• Derived the exact casual model that governs the relations between variables in a multidimensional dataset
• Developed an interface for Interactive path diagrams for causal network visualization
• Created a Data subdivision control, where segmentation can be saved as a clickable tag
• Implemented a model diagnostic controls, where user can examine discover them by clicking each tile colored by model scores
World Statistics Visualization using World Bank Data (Jan’20 – May’20)
• Created a dashboard of World Bank Data on GDP, Health Expenditure, Immunization, and unemployment using Flask and D3.js
• Used different color schemas showcasing how the country has progressed or declined in the last 15 years using map and line chart
• Created MDS chart to showcase the distribution of countries in the upcoming years by clustering them using Quadtree
• Visualized the effect of population on the attributes using bubble chart and concluded successful observations for all countries
Retail Sales Data Analysis for Costello’s Ace Hardware Company (Aug’19 – Dec’19)
• Analyzed each attribute of the 8GB dataset for improving the settings of the company
• Developed visualization of the attributes for a sound understanding of the sales of the business
• Created external dataset by scraping reviews from Yelp and Google which might help the company in increasing the sales by 15%
• Implemented ARIMA and LSTM algorithms which gave the accuracy of the model around 96%
AI Voice Assistant (Feb’19 – May’19)
• Created Personal Assistant that takes speech as well as text input and can perform tasks other than conversing
• Used third party APIs for speech recognition, web information search, and weather forecasting
Force for Good – Make A Wish India (Aug’17 – Jul’18)
• Created a mobile application using Ionic 3 and Spring Boot to enable the primary user to submit ‘Wish-Granting Form’
• Reduced the paper-based form which helped them to increase the wish granting process by saving their 4 working days
• Implemented add-on modules like social media handling, saving user comments and notification about wish status
• Successfully reduced the whole TAT of the entire process through the mobile based application
• Achievement – Make A Wish India Organization commended our work and has approved the application for official usage
PUBLICATIONS
• Asrani A, Khot R, Koul V (2016) Review of Steganography Techniques - Imperial Journal of Interdisciplinary Research (IJIR)

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Resume Rishabh_Khot

  • 1. RISHABH KHOT Address: 700 Health Sciences Drive, #2018, Stony Brook, NY, 11790. Contact: (631)-710-0108 rishabh.khot@stonybrook.edu | https://www.linkedin.com/in/rishabhkhot/ | https://github.com/RishabhKhot EDUCATION Master of Science in Computer Science | Stony Brook University | GPA: 3.4/4 (Sep’19 –May’21) Analysis of Algorithms, Artificial Intelligence, Database Systems, Data Science Fundamentals, Visualization, Probability Statistics Teaching Assistant – Data Structures | Stony Brook University (Sep’19 –Dec’20) Bachelor of Engineering in Computer Engineering | Mumbai University | CGPA: 8.76/10 (Jun’13 –Aug’17) Data Structures, Algorithms, Machine Learning, Software Engineering, Computer Organization & Architecture, Mobile Computing, Operating System, Computer Networks, Cryptography & System Security SKILLS & ABILITIES Programming Skills: Java, Spring Boot, Python, Scala, Jenkins, Selenium, TestNg, JUnit, Cucumber, Flask, HTML, CSS, JavaScript, PHP, Bootstrap, Ionic 3, D3.js, AWS, Docker, WinAutomation, Tableau, Splunk, ELK Database Skills: MySQL, Oracle SQL, PostgreSQL, JQL EXPERIENCE Software Developer Engineering Intern | Nomura Holdings Inc. (Jun’20 –Aug’20) • Implemented Performance Framework using Spring Boot for a Trade Processing Application • Validated the trade messages using camel trading service in under 10ms and visualized the trade time using Kibana • Created a test framework in Zephyr using the API to mark the analyses as passed/failed before reaching a specific threshold • Created Load/Stress testing by speed sending 100 test messages using JMS queues and thus reducing the total time around 10 secs • Developed a webplayer utility for statistics of trade messages, executed in Jenkins and visualized the data on Splunk Software Engineer | JP Morgan Chase & Co. (Jul’17 –Jun’19) • Implemented 115 automation scripts and regression scenarios which spared nearly 800 valuable minutes of human effort per day • Created around 550 Test Scenarios and found more than 200 potential defects • Efficiently handled the automation upgrades solely by being a Subject Matter Expert • Worked on Vendor MIS Application by accurately analyzing and testing nearly 2.5L data in Tableau • Managed a team by training them, monitoring their work and made sure to have a teamwork • Implemented automated flow of application by developing a bot using WinAutomation • Implemented Continuous Integration and Continuous Deployment using Jenkins • Achievement - Scored 100% in the CodeVue Competition as part of the aptitude test for the hiring process of candidates PROJECTS Causal Link Detective Game (Jan’20 – Dec’20) • Derived the exact casual model that governs the relations between variables in a multidimensional dataset • Developed an interface for Interactive path diagrams for causal network visualization • Created a Data subdivision control, where segmentation can be saved as a clickable tag • Implemented a model diagnostic controls, where user can examine discover them by clicking each tile colored by model scores World Statistics Visualization using World Bank Data (Jan’20 – May’20) • Created a dashboard of World Bank Data on GDP, Health Expenditure, Immunization, and unemployment using Flask and D3.js • Used different color schemas showcasing how the country has progressed or declined in the last 15 years using map and line chart • Created MDS chart to showcase the distribution of countries in the upcoming years by clustering them using Quadtree • Visualized the effect of population on the attributes using bubble chart and concluded successful observations for all countries Retail Sales Data Analysis for Costello’s Ace Hardware Company (Aug’19 – Dec’19) • Analyzed each attribute of the 8GB dataset for improving the settings of the company • Developed visualization of the attributes for a sound understanding of the sales of the business • Created external dataset by scraping reviews from Yelp and Google which might help the company in increasing the sales by 15% • Implemented ARIMA and LSTM algorithms which gave the accuracy of the model around 96% AI Voice Assistant (Feb’19 – May’19) • Created Personal Assistant that takes speech as well as text input and can perform tasks other than conversing • Used third party APIs for speech recognition, web information search, and weather forecasting Force for Good – Make A Wish India (Aug’17 – Jul’18) • Created a mobile application using Ionic 3 and Spring Boot to enable the primary user to submit ‘Wish-Granting Form’ • Reduced the paper-based form which helped them to increase the wish granting process by saving their 4 working days • Implemented add-on modules like social media handling, saving user comments and notification about wish status • Successfully reduced the whole TAT of the entire process through the mobile based application • Achievement – Make A Wish India Organization commended our work and has approved the application for official usage PUBLICATIONS • Asrani A, Khot R, Koul V (2016) Review of Steganography Techniques - Imperial Journal of Interdisciplinary Research (IJIR)