Developer

Preethi Motepalli

*************@*****.*** +* (***)-(851) -(9844) Baltimore, MD

EDUCATION

University of Maryland, Baltimore County, (USA) Baltimore, MD MS, Computer Science; GPA- 3.567 December 2023

Velagapudi Ramakrishna Siddhartha Engineering College, (India) Vijayawada, India BTech, Information Technology, GPA: 3.39/4 June 2021 TECHNICAL SKILLS

• Programming Languages: • Python, Java, C, MATLAB, R.

• Frameworks and Tools:

Git-Scikit-learn, NLP, TensorFlow, Keras API, Django, Flask, MATLAB GUI, React, Angular, Node.js, Express.js, Web/Internal APIs, SpringBoot, Spring MVC, CPSA protocol.

•

• Cloud Technologies:

AWS Resources: AWS Redshift, AWS Glue, S3, EC2, Azure.

• Web Development HTML5, CSS3, Bootstrap, JavaScript, PHP, XML, JQuery, AJAX, WordPress.

• Database Systems:

MySQL, SQL Server, SQLite3, MongoDB, Oracle, DynamoDB, Postgress SQL.

• Applications:

Android Studio, Visual Studio, Udemy, .NET, Jupyter Notebook, Ubuntu (kali- Linux), ZAP, IntelliJ, Docker desktop, Adobe Photoshop, Github, PowerShell. CERTIFICATIONS:

AWS Certified Cloud Practitioner Feb 15, 2024 – Feb 15, 2027 Validation No: 65a4fa0214c94cdbb9e7f0de73c7a789

WORK EXPERIENCE

Data Engineer Feb 27,2024 – Present

Volunteer, SasInfo Inc, USA

• Migrated on-premises data to AWS S3 using AWS CLI and Management Console, improving data accessibility.

• Optimized PostgreSQL queries for faster data retrieval and manipulation, enhancing database performance.

• Managed AWS Cloud infrastructure, ensuring high availability and scalability for deployed applications.

• Automated AWS resource management tasks with Python scripts, increasing operational efficiency. Graduate Assistantship (Grader) – Network Security Jan 27,2023 -Dec 27,2023 University of Maryland Baltimore, County, USA

• Evaluated and assessed students’ homework, assignments, exams, and projects.

• Provided guidance and assistance to students who had questions or concerns related to network security. Web Developer July 1,2021 - Dec 30,2021

Intern,QuestGlobal, India

• Developed “Rural Hub”, a Node.js-based e-commerce application, improving usability and user engagement.

• Led UI/UX design, creating user-friendly interfaces with HTML, Bootstrap, CSS, and JavaScript.

• Implemented RESTful APIs with Express.js, enhancing communication between frontend and backend.

• Integrated OAuth 2.0 for secure user authentication and utilized MongoDB for efficient data management. Web Developer, May 10,2020 - Nov 10,2020

Intern Exposys data labs, India.

• Developed a user-friendly Travel-website using Python/Flask, HTML, CSS, and JavaScript.

• Designed and implemented web APIs for seamless communication between clients and a travel chatbot, leveraging NLP (Natural Language Processing) techniques like NLTK, nltk.stem, pickle, and wordnetlemmatizer.

• Trained the chatbot with rule-based datasets, improving user interaction and satisfaction.

• Managed database connections with SQLite3, ensuring secure storage of user data. PROJECTS

Image Morphing using Beier-Neely Algorithm Sept 2022 – Dec 2022

• Implemented the Beier-Neely algorithm for image morphing between two distinct human faces, achieving smooth blending and transformation effects.

• Extracted facial landmarks using the DLIB package, creating 16 frames through image wrapping and cross- dissolving techniques.

• Designed the front-end user interface using Python/Flask, so users can upload source and destination images, resulting in a smooth animated sequence of 16 frames morphing the source image into the destination image. System Upgrades Report as a Service Sept 2022 – Dec 2022

• Built a backend system utilizing text processing and web scraping techniques.

• Extracted content from software release notes using BeautifulSoup4 and Requests libraries.

• Stored and organized scraped data with SQLite3, using UUIDs for unique identification. Implement Distributed File System with Docker Containers using Python Feb 2022-May 2022

• Developed a distributed file system using Python/Django for efficient data management across multiple servers.

• Used MongoDB for secure storage of authentication, authorization, and encrypted master keys.

• Deployed servers with Docker containers, ensuring seamless information synchronization, and implemented robust data encryption at rest using the Fernet cryptography library for enhanced security. Recommending the best product based on user requirements using opinion mining. https://ieeexplore.ieee.org/document/9544690 Dec 2020 - July 2021

• Extracted product reviews and ratings data from Amazon using Parsehub web scraper.

• Performed exploratory data analysis on review datasets using NLP techniques like Count Vectorizer and Vader for sentiment classification.

• Visualized sentiment categories with WordClouds and developed a sentiment analysis model using logistic regression with a 75% accuracy rate.

• Calculating the overall score out of 100 for each product and thus recommending the highest scored product to the customers.

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