Machine Learning Computer Science

ANJANA JUJJAVARAPU

Phone No:480-***-**** *******************@*****.*** Linkedln:www.linkedin.com/in/anjana-jujjavarapu-0687a3275 EDUCATION: Expected Graduation Date: May 2025

Texas A&M University-Corpus Christi

Master of Science in Computer Science

Sri Sarathi Institute of Engineering & Technology May 2023 Bachelors of Technology in Computer Science

SKILLS & OTHER:

Programming Languages: Python, Java, SQL, Excel

IDEs: Visual Studio Code, PyCharm

Python Libraries: NumPy, Pandas

Database: MySQL, SQL Server, MongoDB

Visualization Tools: Power BI, Microsoft Excel

Other Tools: Data Cleaning, Data Wrangling, Critical Thinking, Data Mining. ACHIEVEMENTS:

Achieved a Python Developer Certification by mastering in Python programming that includes Web development, data structures, and object-oriented programming were all covered in practical projects.

Learned about important frameworks and libraries including NumPy, Flask, Pandas, and Django and used version control, and debugging methods.

TECHNICAL PROJECTS:

Project Title: Emergency Room, Database Management January 2021 -- June 2021 Role: Database Developer

Designed and hosted a MySQL database on AWS RDS for emergency room management, crafting SQL scripts that enhanced data querying efficiency and secured scalable storage, improving emergency care coordination and performance.

Utilized Pandas and NumPy for data preprocessing and analysis, enabling the identification of trends in patient admissions and improving resource allocation. Project Title: Hand Gesture Recognition using Convolution Neural Networks December 2022 -- April 2023 Role: Project Manager

Designed and Implemented a Hand gesture recognition system using Python and Convolution Neural Networks

(CNN) which involves identifying and classifying hand gestures from images or video sequences.

By leveraging the power of Machine learning and computer vision, the system aims to accurately interpret hand gestures captured through a webcam or camera.

NumPy and Flask are used to perform numerical operations and to create Web interface for gesture recognition system. Project Title: Intrusion Detection using Machine Learning algorithms January 2024 -- May 2024 Role: Machine Learning Engineer

Created and used Machine Learning algorithms to detect intrusions and boosts model efficiency and lowers false positives.

Used frameworks such as Scikit-learn, PyTorch, or TensorFlow to deploy models and incorporates models into monitoring systems that operate in real time.

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