HELLO!

I'm Sai Rithwik Nooguri

As a passionate data science and machine learning professional, I specialize in uncovering insights from complex datasets to drive strategic decision-making. With hands-on experience in predictive modeling, AI algorithms, and data visualization tools like Power BI and Tableau, I bridge the gap between data and actionable business intelligence. Currently pursuing an M.S. in Computer & Information Science (Data Science) at UNF, I am committed to leveraging technology to solve real-world problems through data-driven innovation.

About Me

Sai Rithwik

Sai Rithwik Nooguri

Data Science Student

Jacksonville, Florida, USA

Aspiring Data Scientist with a strong foundation in data analysis, machine learning, and data visualization, eager to leverage skills to drive impactful business insight.

Profile

Skills

  • Programming Languages: Python, R, SQL, C, Java
  • Data Science & Analytics: Data Mining, Data Visualization (Excel, Tableau, Power BI), Applied Statistics, Big Data Analytics, ETL Processes
  • Machine Learning & AI: Supervised & Unsupervised Learning, Reinforcement Learning, Generative AI, AI Algorithms, Prompt Engineering, Model Optimization, Natural Language Processing (NLP)
  • Business Intelligence & CRM: Power BI, Advanced Excel, Zoho CRM, Operations Research
  • Database Management: MySQL, DBMS, AWS Cloud Databases, Microsoft Azure
  • Experience

    Nov 2023 - Jun 2024
    Data Analyst Intern

    GKB Labs.Inc

    A start-up company using Zoho CRM with over 10K+ professionals globally.

    • Analyzed large datasets using Excel, Power BI, Python, and SQL to improve decision-making processes, enhancing customer experience and revenue optimization.
    • Contributed to AI-driven projects, implementing data-driven solutions to enhance business processes.
    • Specialized in data analysis using CRM tools, enhancing organizational efficiency.
    • Engaged with clients to discuss the output and implications of data analysis, ensuring alignment with business objectives and providing actionable insights for improvement.
    May 2025 - Present
    Data Science Intern

    Jacksonville Rental Housing Project

    I am currently assisting in data collection, formatting, and preparation of real estate transaction records from Duval County to support academic research.

    • Using Python for cleaning, transformation, and visualization of housing datasets to uncover key trends and insights.
    • Creating clear visualizations and dashboards to support presentations and research deliverables.
    • Collaborating with faculty and student researchers to manage data pipelines and documentation.
    • Listed as a team member on the official project website: jaxrentalhousingproject.domains.unf.edu.

    Education

    2024 - Expected 2026
    M.S. in Computer & Info Science (Data Science)

    University of North Florida (UNF)

    Grade: A

    2021 - 2024
    B.Sc. in Computer Data Science and Data Analytics Engineering

    Loyola Academy

    Grade: 9.0

    Resume

    Download my resume to learn more about my experience, education, and skills in detail.

    Publications

    Adaptive Credit Card Fraud Detection Using Machine Learning and Deep Reinforcement Learning

    This publication explores innovative approaches to credit card fraud detection by leveraging machine learning and deep reinforcement learning techniques.

    View Publication →

    My Projects

    Below are some of my Data Analytics and Machine Learning projects.

    IPL Data Analysis

    IPL 2024 Data Analysis

    A comprehensive analysis of Indian Premier League (IPL) data using Python, uncovering key trends and insights.

    View Project →
    SMS Spam Detection

    SMS Spam Detection

    A machine learning model for classifying text messages as either 'spam' or 'ham' using Python and Jupyter Notebook.

    View Project →
    Plagiarism Detection

    Plagiarism Detection

    A project that leverages TF-IDF and cosine similarity to detect potential plagiarism between text documents.

    View Project →
    Credit Card Fraud Detection

    Credit Card Fraud Detection

    This project focuses on detecting fraudulent credit card transactions using machine learning techniques.

    View Project →
    Ethereum Transaction Analysis

    Ethereum Transaction Analysis

    Analyzing Ethereum blockchain transaction data to gain insights into trends, gas usage, and more.

    View Project →
    Sentiment Analysis

    Twitter Sentiment Analysis

    A project to analyze sentiment from Twitter data using NLP techniques to classify opinions.

    View Project →
    Customer Churn

    Customer Churn Prediction

    Building a predictive model to identify customers likely to stop using a service.

    View Project →
    Sales Dashboard

    Sales Dashboard

    A dynamic Power BI dashboard to visualize sales performance and key metrics.

    View Project →
    Stock Price Prediction

    Stock Price Prediction

    Using time series analysis and machine learning to predict future stock prices.

    View Project →

    Get In Touch

    Feel free to connect with me on social media or send me an email. I'm always open to discussing new opportunities or collaborating on projects.