Assistant Web Developer

PAVAN KALYAN REDDY THOTA

adkcre@r.postjobfree.com 480-***-**** www.linkedin.com/in/pavan-kalyan-reddy-thota www.github.com/pavan412kalyan EDUCATION

Master of Science, Computer Science Graduating: Dec 2021 Arizona State University, Tempe, Arizona GPA: 4/4

Bachelor of Technology, Computer Science and Engineering May 2019 Sreenidhi Institute of Science and Technology, Hyderabad, India GPA: 9.33/10 TECHNICAL SKILLS

Programming Languages: Java, Python, C, C# Web Technologies: HTML, CSS, JavaScript, PHP, Bootstrap, JSP Databases: MySQL, MongoDB, PostgreSQL Frameworks: Spring, Hibernate, React JS, Flask, D3.js, Hadoop, Apache Spark, REST API’s Tools: Git, Android Studio, AWS, Eclipse, IntelliJ, VS Code, Apache Maven, Google colab WORK EXPERIENCE

Graduate Service Assistant, Tempe, ASU Aug 2020 - present

• Working as Teaching Assistant for the Course: CSE 110 Principles of Programming with Java. Path creators pvt Ltd, Hyderabad, India: Web Developer Intern Mar 2019 - May 2019

• Developed a Web application for warehouses and distribution centres that aims to minimize the distance travelled between them using Graph Algorithms (Traveling Salesman Problem) and Google Map API’s. Improved the efficiency of existing algorithm by 20%.

• Updated existing Inventory Management System to maintain the stock and implemented an algorithm to notify the user for the availability of stock in the closest vicinity.

• Worked on backend development using Flask web Framework and MySQL. Digi Delight pvt Ltd, Hyderabad, India: Software Developer Intern Mar 2018 - Jul 2018

• Developed Spring boot application to provide REST endpoints for CRUD operations on MongoDB database for user statistics based on bank transactions in JSON format.

• Accepts user’s transaction messages via REST call to create and update user spending habits by extracting transaction details and classifying the transactions into categories.

• Deployed the application into AWS EC2 instance processing about 10000 transactions a day. ACADEMIC PROJECTS

Hotspot analysis of Geospatial data (Spark, AWS, Amazon EC2, MongoDB) Fall 2020

• Performed hot zone and hot cell analysis on large-scale spatial data using Spark to identify and rank the top 30 hot zones.

• Analysed New York’s taxi data set to recognize high pick-up probability areas within New York and drivers can increase their pick-up rate by 45% by abiding to the recommendations from the analysis.

• Performed textual and spatial search using MongoDB to find all the businesses present in a particular city and to find business names present in the maximum distance from the given location that covers all requested categories. Service-Oriented Web Application (SOAP, REST, C#, .NET, XML, JSON) Fall 2020

• Built a Service-Oriented Web Application through developing SOAP and REST Web Services helped in reducing the interdependencies between components of the system and increases the flexibility of the system.

• Implemented Event-Driven Programming helped in enhancing the user experience through the quickest and accurate responses.

• Implemented Authorization and Authentication for protected resources using Forms Security helped in achieving access control. Vast Mini Challenge – Characterization of Pandemic Spread (D3. Js, JavaScript, HTML, CSS, Python, Flask) Fall 2020

• Developed a Web Application showing characterization of pandemic spread using Data Visualizations.

• Pre-processed 10 GB of patient’s data in python and derived the patterns in Symptoms using Apriori Principle and Classification Algorithms to predict the death span of a patient.

• Used Python Flask Framework for backend and D3.js, JavaScript, HTML, CSS for frontend.

• Implemented user interactive visualizations to show the anomalies in the pandemic spread and observe the symptom patterns. Streamy (React, Redux, Node.js, OBS) Summer 2020

• Developed a streaming service where a user can stream through OBS and can perform CRUD operations on stream.

• Designed single-core Real Time Messaging Protocol server and API to broadcast a stream, fetch all live streams. American Sign Language Gesture Recognition (Python, Scikit-learn, POSENET) Spring 2020

• Developed an Android application to record sets of 12 ASL gestures to create a huge dataset required for the gesture recognition task.

• Extracted Frame-Points of human body from videos using POSNET API. Performed feature extraction and trained on SVM (Accuracy: 70%), KNN (Accuracy: 86%), MLP (Accuracy: 81%)

• Created a REST API and deployed the Application on Heroku that requests a gesture Frame points and responses the name of gesture performed.

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