Jaswanth Kishore Yarram
Mobile: 512-***-****;
Email: adg0qg@r.postjobfree.com;
LinkedIn: https://www.linkedin.com/in/jaswanth-kishore-yarram-434b00a5/; GitHub: https://github.com/yarra2296
OBJECTIVE
Seeking an internship for spring 2021 as a Software Development Engineer, Data Scientist and Machine Learning. EDUCATION
The University of Texas at Dallas Jan. 2020 - Dec. 2021 M.S, Computer science; Data science Track GPA: 3.67
• Student Assistant Jan. 2020 - Present
VIT UNIVERSITY, INDIA June 2013 - Mar. 2018
M.TECH, Software Engineering; (Merit Scholarship) CGPA: 8.88 TECHNICAL SKILLS
Languages & Frameworks : JavaScript(ES6), Python, SQL, Java, React, React-native, Angular, Vue, Node, HTML5, CSS3. Certifications : Android Security, Software Craftsmanship. Software Tools : WebStorm, Visual Studio Code, Atom, Android Studio, XCode, RStudio. Databases : MySQL, PostgreSQL, ORACLE.
EXPERIENCE
Agrometrics Analytics and Technology, Telangana, INDIA July 2018 – Jan. 2020 Full stack Developer
• Developed a hybrid mobile application using React-native which has many functionalities.
• Extensively involved in building applications using React-native, React.JS, JSX, Redux.JS, CSS, Node.JS.
• Created reusable React components that is used throughout the application to reduce excess code.
• Used ES-lint to maintain the code quality throughout the application.
• Responsible to write unit testing for the React, React-native components. Stack Used: JavaScript (ES6), React, React-Native, Vue, Redux, HTML5, CSS3, Django, GIT, Bitbucket, Bootstrap. Parentlane, Karnataka, INDIA Oct. 2017 – June 2018 Frontend Developer
• Predicted the child growth by developing the Parentlane application whose age is between 1-3 years.
• Modified the Parentlane Web application to make it faster using React, React native, React-native-web.
• Analysed the kid’s health by the answers given by the user and made it more accurate report. Stack Used: JavaScript (ES6), React, React-Native-Web, Redux, HTML5, CSS3, GIT, Bitbucket. ACADEMIC PROJECT / RESEARCH PROJECTS
Stock value prediction Recurrent Neural Networks (RNN) Feb. 2020 - Mar. 2020
• Developed an Algorithm which predicted the future price of a Stock on a particular day using RNN and Long short-term Memory (LSTM)
Stack Used: Python, Pandas, NumPy, Kaggle, Scikit-learn, matplot. Neural Network Jan. 2020 - Feb. 2020
• Developed a Neural Network to compare different activation functions and hidden layers and neurons Stack Used: Python, Pandas, NumPy, TensorFlow, Sk-learn. LEADERSHIP EXPERIENCE & ORGANIZATIONS
Student Assistant, UT Dallas Jan. 2020 – Present
• I work on educating and imparting the students to pick up Problem solving skills and aligning their thinking in the right direction on the technical aspects of Computer Science Indian Students Association, UT Dallas Jan. 2020 – Present