Sai Pooja Buttamgari

HELLO, WORLD.

I AM SAI POOJA BUTTAMGARI

About Me

I am currently pursuing a Master's in Computer Science with a concentration in Data Science and Information Security at the University of North Carolina at Charlotte. My journey in technology is driven by curiosity, analytical thinking, and a passion for transforming data into meaningful insights.

With a Bachelor's in Computer Science and Engineering from CMR Institute of Technology, I have built a strong foundation in programming, algorithms, and software development. This technical background, combined with my problem-solving mindset, enables me to tackle complex challenges with confidence and creativity.

During my Data Management Internship at Astute Infocom, I optimized data pipelines using SQL and Python, processed large datasets to enhance accuracy, and collaborated with cross-functional teams to support cloud-based workflows. This hands-on experience solidified my skills in data processing and quality management.

As a Class Representative at CMR Institute of Technology, I demonstrated leadership by bridging communication between students and faculty, coordinating academic activities, and fostering a collaborative learning environment. I'm also passionate about making technical concepts accessible and have experience in teaching and mentoring.

I thrive in dynamic, collaborative environments where innovation and continuous learning drive meaningful results. With a drive to grow and create purposeful impact, I aim to contribute to projects that solve complex problems, deliver measurable outcomes, and make a lasting difference in the world of technology and data science.

Skills

  • Programming & Scripting: Python, C++, JavaScript
  • Data Analytics & Visualization: Power BI, Tableau, Pandas, NumPy, Scikit-learn
  • Databases: MySQL, MongoDB, SQL
  • Cloud & Big Data: Apache Spark, AWS (Foundational)
  • Technical Areas: Data Structures & Algorithms, Information Security, Cloud Computing
  • Tools & Platforms: GitHub, VS Code, Linux, MS Excel, MS PowerPoint
  • Professional Skills: Communication, Leadership, Collaboration, Time Management

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Education & Projects

Education

Master of Science in Computer Science

University of North Carolina at Charlotte (Aug 2024 – May 2026, GPA 3.71/4.0)

  • Concentration: Data Science, Information Security and Privacy
  • Key Coursework: Data Structures & Algorithms, Database Systems, Software System Design, Information Security, Big Data, Visual Analytics, Cloud Computing for Data Analytics, Artificial Intelligence, Computer Networks
  • Building expertise in data-driven decision making, secure system design, and cloud-based analytics
Bachelor of Technology in Computer Science

CMR Institute of Technology, Medchal (Aug 2020 – May 2024, GPA 7.5/10)

  • Core foundation in programming, algorithms, data structures, OOP, Operating Systems, DBMS, Computer Networks, Git and Linux.
  • Leadership: Class Representative (2020-2024), Event Coordinator for Illuminate 2022 fest
  • Developed strong problem-solving abilities and collaborative teamwork skills

Projects

  • AI-Powered Job Market Insights (Jan 2024 – May 2024)
    Built an interactive dashboard using Python & Streamlit to analyze synthetic job-market data covering job titles, industry sectors, AI adoption, and salary distributions. Conducted exploratory data analysis and created visualizations (pie charts, line plots, bar charts) to uncover trends such as remote-work prevalence, automation risk, and industry hiring patterns. Developed an end-to-end tool allowing stakeholders to filter by company size, AI adoption level, and remote-friendly jobs.
  • Apple Leaf Disease Detection (Feb 2024 - May 2024)
    Applied deep learning techniques to detect diseases in apple leaves using the ResNet50 pretrained CNN model on the Plant Pathology 2020 Kaggle dataset. Processed and standardized over 1,800+ labeled images, improving model accuracy through resizing, normalization, and data augmentation. Deployed the trained model as an interactive Streamlit web app for real-time leaf disease classification and confidence-based predictions.
  • Traffic Sign Recognition
    Developed a CNN-based model using the GTSRB dataset to accurately classify and recognize multiple traffic sign categories. Built a Streamlit interface enabling real-time traffic sign prediction and visualization of model outputs for user-uploaded images.
DATA ANALYST PROFESSIONAL CERTIFICATE , GOOGLE

Achieved Google's Data Analyst Professional Certificate, showcasing proficiency in data analysis and data-driven insights.

INTRODUCTION TO CYBERSECURITY, CISCO

Completed Cisco Networking Academy's cybersecurity fundamentals course, gaining knowledge in security principles and best practices.

BASICS OF PYTHON, INFOSYS

Mastered Python programming fundamentals through Infosys certification, strengthening core programming skills.

PROJECT MANAGEMENT, COURSERA

Completed project management certification, developing skills in planning, execution, and team coordination.

INTRODUCTION TO SQL

Completed Coursera’s Introduction to SQL course, gaining hands-on experience with database queries, joins, and data manipulation using MySQL and PostgreSQL environments.