Jitmanyu Shandilya

Los Angeles 213-***-**** ad1iaz@r.postjobfree.com www.linkedin.com/in/jitmanyu-shandilya EDUCATION

University of Southern California, Viterbi School of Engineering. Los Angeles, CA Master of Science in Computer Science. December 2023 Relevant Coursework: Web Technologies, Analysis of Algorithms, Database Systems, Artificial Intelligence, Information Retrieval and Web Search Engines, Cryptography – Secure Communication & Computation Amity University Noida, India

Bachelor of Technology in Computer Science and Engineering July 2020 Relevant Coursework: Software Engineering, Computer Organization and Architecture, Machine Learning, Object Oriented System Design, Compiler Construction, Operating System, Big Data Analytics, Data Mining and Business Intelligence GPA: 8.81/10

TECHNICAL SKILLS

• Languages/Technologies: Python, Java, Android, C, C++, MySQL, SQL, MongoDB, Mongoose, Tableau, HTML, CSS, Bootstrap, AJAX, JavaScript, DOM, jQuery, Unix, Node.js, Express.js, Angular, React.js, RESTful API, Servlets, JSP, Git, NumPy, Pandas, GCP, GCS, AWS

• Object oriented Design, Software Development Cycle, Database, Data Structures and Algorithms, Testing frameworks EXPERIENCE

Data Analyst (USC-University Advancement) Los Angeles, California (June 2022–PRESENT)

• Translate business requirements into advanced relational SQL queries, ensuring accurate retrieval of relevant data sets, BigQuery

• Proficiently optimized Cognos queries to enhance efficiency and update the fields and knowledge in Hadoop and Spark.

• Identify and implement data management skills and query performance improvements to enhance efficiency and reduce query execution times. Also performed JUnit testing.

• Proficiently operate command line tools on Mac, streamlining various data-related tasks and processes. Product Researcher and Developer, Dish Wireless Networks Colorado (May 2023–Aug 2023)

• Developed and implemented an Android application to capture and upload video streaming quality KPIs on the DISH network using Java, Android Studio, and RESTful APIs. Worked with GCP cloud for production.

• Conducted extensive research on public APIs and testing of these APIs available for popular video streaming platforms, facilitating seamless integration of real-time device-centric network performance data into the application.

• Built a predictive model for user viewing behavior, leveraging captured KPIs and machine learning techniques to enhance personalized recommendations and optimize the user experience for DISH network viewers.

• Developed and executed Selenium tests for an Angular-based website, focusing on testing large-scale operations. Software Developer, Samsung Research Institute (SRI-D) Noida, India (April 2021–October 2021)

• Trained and Scaled K-nearest neighbor model for determining patterns in market issues to increase efficiency of solving, conducted device testing for Samsung TV, and configured devices as per customer's requirements to ensure good software quality.

• Designed Graphic user interface for upcoming 2022yr TV screen implementing Angular and NodeJS.

• Focused on reviewing and improving project documentation based on customer's requirement and different type of software defects to secure good software quality.

Software Developer, Accenture Solution Bangalore, India (December 2020–March 2021)

• Built and implemented visual and interactive elements on a web application for retail and food chains by MEAN, MERN.

• Wrote Cucumber test report generating tests using Karate and RestAssured(Given, Then, When) classes for Springboot application. Software Developer, Newgen Software Noida, India (September 2020–December 2020)

• Developed end-to-end Banking desktop application using .Net and JavaScript.

• Created MongoDB and Mongoose NoSQL for database access and management.

• Generated Image and Handwritten text recognition model to retrieve data from scanned documents with 89% accuracy. Software Developer, Samsung India Electronics Private Limited Noida, India (February 2020–April 2020)

• Conducted in-house reproduction of client’s issue post release.

• Streamlined Automation of test cases from Python for improvised testing of in-house projects. Software Analyst, Scientific Analysis Lab, Defense Research Group (DRDO) New Delhi, India (May 2019–July 2019)

• Built a model for analysis of malicious documents present on system network in real time.

• Led a team of 3 for Memory forensic analysis of REM inside a malicious computer environment.

• Proposed and executed idea of finding malware attack pattern in host system applying Supervised Machine Learning. ACADEMIC PROJECTS

Yelp API Android Application. Android, Java, Restful APIs, NodeJS, Ajax, Bootstrap, JavaScript, GCP

• Developing application with Android functionalities such as frames, adapters, recycler views, toasts, shared preferences, tab layouts and so on.

• Used third party libraries like Picasso, Volley for application functioning.

• Created an API using Node.js as backend to give required results from Yelp. Business Search Web Application. React, Node.js, Express, JavaScript, Ajax, JSON, Python, Flask, Restful APIs, GCP, AWS

• Creating end to end responsive web app for business search using Yelp APIs.

• Utilized Node.js Express Framework for the React Web application and performed advanced GCP integration. Lip Reading- Speech to Text IOS Application Swift, Python, Mongoose

• IOS Application to produce text from user’s lips and facial movement in real time scenario with Accuracy of 85%.

• Converts text to desired language utilizing Google APIs. Comparative study for reconstruction of speech for silent video by artificial intelligence Search Application

• Deployed a pre-trained model LIPNET on Google Cloud to integrate it in development of an application. eLearning Portal- Online Programming Quiz Java, JDBC, MySQL, HTML, CSS, JavaScript

• eLearning website including features such as taking exams, drafting exams, score analysis, grading, discussion panels, password encryption, database retrieval and management.

Emoji Classification using Deep Learning Python, AWS

• A model trained to classify different emotional emoji based on reaction. Digit Recognition adopting Machine Learning Python, GCP

• Unsupervised learning algorithm for recognizing handwritten digits. LEADERSHIP AND INVOLVEMENT

• Leadership: Technical head for National Techno-Cultural Fest for 2 years; increased participation by 30-35%

• MOOCs: Secured 98% in Stanford: Algorithms-Design and Analysis, Coursera

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