Student Assistant

Harshitha Sai Atluri 619-***-**** ******************@*****.*** GitHub LinkedIn San Diego,92115 SUMMARY: Aspiring graduate student seeking fulltime opportunities in the field of Software Engineering to develop and enhance my skills.

EDUCATION

● Masters in Computer Science (3.93/4) San Diego State University Aug’ 2019-May’2021

● Bachelors in Computer Science (4/4) JNT University Kakinada May’2015-May’2019 CERTIFICATIONS

● AWS Certified Cloud Practitioner

● Microsoft Certified : Azure Fundamentals

● Microsoft Certification in Programming in C#, ASP.NET, MVC and Web Applications

● Certified Microsoft Solutions Associate

SKILLS

● Programming & Framework : JAVA8, Python, C, R, Spring Boot, Spring MVC, Spring Boot, Kafka

● Web Technologies : HTML5, CSS3, XML, JavaScript, React js, SASS, Gulp, jQuery, Node.js

● Libraries : Pandas, Numpy, Matplotlib, Scikit-Learn, Apache Spark, Vaex, Dask

● Databases : SQL, MySQL, Oracle Database, MongoDB, NoSQL, Cassandra

● Technologies : Git, TCP/IP, Eclipse, MS Word, Excel, JDBC, [JAX-WS], RESTful API, SOAP, JIRA, Jenkins, Docker, Kubernetes, Spring Data Microservices.

● Cloud : AWS EC2, S3, ECS, Cognito, EBS, Lambda, DynamoDB, Azure etc. WORK EXPERIENCE

● Instructional Student Assistant San Diego State University Aug 2020- Present Provided assistance to the Professor in designing(unit tests), scheduling, reviewing, grading assignments, project and exams for a classroom of 100 students in Java, C# and .NET framework.

● Instructional Student Assistant San Diego State University Feb 2020- May 2020 Assisted classroom instruction, guidance to students in Advanced programming languages like C++, Prolog and Python. Graded the examinations and assignments as well. ACADEMIC PROJECTS

To Do-Application System Jan 2021 – Feb2021

● Developed To-do management full stack application featured with login and logout functionalities

● Built front end in React and Basic Authentication using Spring Security (JWT).

● Technologies used: React, Spring Data,Spring Boot, RESTful, Node js, Spring Security, JPA, VS Code Predicting COVID19 with Image Classification from Lung CT Scan Aug 2020- Dec 2020

● Used CNN Sequential model to achieve a good accuracy in COVID-19 detection by analysis of Lung CT scans, yielded good accuracy with VGG-16 bottleneck features utilizing transfer learning.

● Technologies used: VGG16, CNN, Data Augmentation Sentimental Analysis on Vaccination Tweets Mar 2020-May 2020

● Implemented streaming of twitter developer account data using Spark, Vader, Sentiment Intensity Analyzer, Word cloud for interpolations. The data is real-time and keeps on streaming when the API starts the process. GitHub URL

● Technologies used: Pyspark, VADER, NLTK, Tweepy, Twitter API New York Taxi Data Analysis Mar 2020-May 2020

● Yielded highest income on a dataset of more than 77M records by predicting their locations accurately.

● Merged, integrated and computed data using Vaex, dask and Pandas to compare their computing speed.

● Technologies used: Pyspark, Vaex, Dask, Pandas

Course Registration System Aug 2019- Dec 2019

● Developed a website which allows both students(to register for courses) as well as faculty to easily access all the course information. Even, it can be able to provide basic information about upcoming events.

● Technologies used: HTML, CSS, Python, MySQL etc. Home Automation Using Blynk Jan 2019- May 2019

● Developed the home automation system using a Node MCU board along with the Internet being remotely controlled by any Android OS smartphone from anywhere which controls and monitors home appliances like speed of fan based on the temperature, intensity of light based on light intensity.

● Technologies used: Python, Raspberry Pi etc.

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