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HarshikaAgr/README.md

👋 Hi, I’m Harshika!

🎓 Undergraduate student at New Jersey Institute of Technology, studying Computer Science and Business

🌱 I love tackling real-world problems. I’m big on continuously learning and building my skills, and believe taking initiative is key to growth. Currently, I'm focusing on building machine learning models and diving deeper into data science. I’m looking to leverage and grow my skills in an internship where I can contribute to exciting projects and learn from industry professionals- got any leads? Let me know!

💞️ I’m looking to collaborate on projects.

🛠 Tech Stack:

  • Languages: Python, Java, C/C++, MATLAB, Minitab

  • Web Dev: HTML, CSS, JavaScript (Node.js, React.js, Three.js

  • Data Science: Pandas, NumPy, scikit-learn, TensorFlow, Matplotlib, Keras, Matplotlib, Seaborn, BERT, CNNs

  • Tools: Jupyter Notebook, Google Colab, Git, GitHub, VS Code, IntelliJ

  • Databases: SQL, MySQL

Certifications:

  • Machine Learning foundations - Cornell Tech’s Break Through Tech AI/ML Program
  • Bloomberg Market Concepts
  • Interview Prep - CodePath
  • Web Development - CodePath

🎯 Featured Project: Fake News Detector and Classifier for Accenture (🔗)

  • What We Did: Preprocessed and vectorized text data using machine learning tools, then built an SVM classifier to predict sentiment (positive, negative, or neutral)
  • Tools: Python, NumPy, Pandas, scikit-learn, Jupyter Notebook
  • Result: 85% accuracy, , outperforming the baseline by 20%, and provided insights that helped guide data-driven improvements in customer service.
  • Curious? See the full project here 🔗.

🚀 Projects:

A few other projects I’ve worked on:

F1 2025 Predictions - Race Outcome Prediction System

  • Developed a machine learning model to predict Formula 1 race outcomes using historical race data and qualifying session results.
  • Tech Stack: Python, FastF1 API, scikit-learn, Pandas, NumPy
  • Learnings: Feature engineering on real-world sports data, regression modeling, and evaluating predictions using Mean Absolute Error (MAE)

💡 Leadership

I am the Technical Director for Salesforce Club at New Jersey Institute of Technology.

⚡ Fun fact: I love exploring places and trying new cuisines

📫 How to reach me

Pinned Loading

  1. F1-2025-predictions F1-2025-predictions Public

    Machine Learning model to predict 2025 season F1 race results

    Python

  2. Fake-News-Classifer Fake-News-Classifer Public

    Forked from kv772/Accenture1D_AIStudio

    Developed a machine learning model using Logistic Regression, BERT and Neural Networks to identify fake news articles compared to human review.

    Jupyter Notebook

  3. Maze-Runner Maze-Runner Public

    Traversing through a maze using Java. This analyzes and solves mazes using a recursive algorithm as well as backtrack to find the best possible solution. It gives a visual representation of the maz…

    Java

  4. Playbox-Inventory-Project Playbox-Inventory-Project Public

    Playbox - An inventory management website built with HTML, CSS, Javascript, PHP, MYSQL, JQuery and AJAX.

    PHP

  5. Snake-Chase Snake-Chase Public

    Snake Chase game created using python!

    Python

  6. GuitarShop-Inventory GuitarShop-Inventory Public

    Guitar Shop Inventory Management

    PHP