NAVYA UPPALA

Worcester,MA

Summary

A passionate and detail-oriented Computer Science graduate with a solid foundation in software development, Android app development, and Kotlin programming. Experienced in working with key development tools such as GraphQL, REST APIs, and CI/CD pipelines. Well-versed in core computer science principles, including data structures, algorithms, and system design, with a strong focus on clean code practices and static code analysis. Adept at problem-solving and eager to apply knowledge of non-functional requirements, system performance optimization, and security best practices to real-world applications. Quick to adapt to new technologies and motivated to collaborate with cross-functional teams to build scalable, high-performance solutions.

Overview

Certification

Work History

Intern

Verzeo

Hyderabad, Telangana

06.2022 - 07.2022

Worked on a sentiment analysis project utilizing NLP techniques to classify restaurant reviews as positive or negative.
Conducted data cleaning and preprocessing on textual data, including stemming and lemmatization, to prepare it for model training.
Built machine learning pipelines incorporating text vectorization methods like TF-IDF and machine learning algorithms such as Logistic Regression and Support Vector Machines (SVM).
Evaluated model performance and fine-tuned hyperparameters to improve accuracy and reduce overfitting.
Gained practical experience in handling real-world data from Kaggle, focusing on text mining, feature extraction, and sentiment prediction.

Education

Master of Science - Computer Science

Clark University

Worcester, MA

12-2024

Bachelor of Science - Electronics And Communications Engineering

Osmania University

Hyderabad

05-2022

High School -

Narayana Junior College

Hyderabad

05-2018

Skills

Android Development (Familiarity with Android SDK, basic knowledge of Push Notifications, and In-app Messaging)
Kotlin Programming (Proficiency with the language and object-oriented programming concepts)
System Design (Understanding of basic system design principles and architecture patterns)
Software Development (Proficiency in algorithms, data structures, and coding best practices)
Static Code Analysis (Basic knowledge of code linting tools and following clean code practices)
GraphQL & API Integration (Exposure to RESTful APIs, and introductory experience with GraphQL)

System Performance Optimization (Basic understanding of performance principles such as memory management and profiling)
CI/CD Basics (Familiarity with the concepts of CI/CD pipelines and tools like Gradle)
Computer Science Principles (Strong foundation in algorithms, data structures, object-oriented programming (OOP), computational theory)
Security Awareness (Awareness of basic security practices and common vulnerabilities)
Problem Solving & Collaboration (Experience from academic projects, teamwork, and group coding exercises)

Projects

Project 1: Real Estate Price Prediction Using Multi-Linear Regression

Duration: September 2021 – April 2022
Technologies: Python, scikit-learn, pandas, matplotlib, seaborn
Overview: Developed a multi-linear regression model to predict real estate prices based on features like area, number of rooms, and location. The project involved extensive exploratory data analysis (EDA) and data visualization.

Project 2: Sentiment Analysis of Restaurant Reviews

Duration: June 2022 – July 2022
Technologies: Python, NLP, scikit-learn, pandas, matplotlib, NLTK
Overview: Built a sentiment analysis model to classify restaurant reviews as positive or negative using Natural Language Processing (NLP) on Kaggle’s dataset.