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Achievement: Pull Sharkx2Achievement: Quickdraw

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@SaaSy-Pants

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Dhruv-Limbani/README.md

Hi 👋, I'm Dhruv Limbani

Hello! I'm Dhruv, a graduate student at Columbia University pursuing an MS in Computer Science with a focus on Machine Learning.

I completed my Bachelor's in Computer Science and Engineering at SRM Institute of Science and Technology, where I developed a strong interest in building software solutions to real-world problems using Machine Learning, Computer Vision, Natural Language Processing, and Data Engineering.

My experience spans working with tabular, visual, and textual data across industries like finance, healthcare, and academia. I have built data-driven solutions involving exploratory data analysis, machine learning models, neural networks, API development, and web applications. I am proficient in Python, C, C++, MySQL, and PostgreSQL, with hands-on experience in data engineering tools like Apache Airflow, PowerBI, and MS Excel. Additionally, I work with Scikit-learn, TensorFlow, PyTorch, OpenCV, and NLTK for AI-driven applications, and I develop web-based solutions using FastAPI, Streamlit, and Git.

I am always eager to explore new advancements in AI and collaborate on research or projects that push the boundaries of what's possible with data. Feel free to connect if you're interested in working together or discussing opportunities for Summer 2025!

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  1. NoCodeML NoCodeML Public

    A No-Code ML Model Building Platform enabling users to perform data cleaning, transformation, visualization, and machine learning model building without writing any code.

    Python

  2. Renewable-Energy-Price-Forecasting-and-Risk-Management-Dashboard Renewable-Energy-Price-Forecasting-and-Risk-Management-Dashboard Public

    An end-to-end pipeline for energy price forecasting and market risk analysis using Apache Airflow, PyTorch, SQL, and Power BI, leveraging data from Spanish cities for real-time insights and decisio…

    Jupyter Notebook

  3. Pediatric-Pneumonia-Detection Pediatric-Pneumonia-Detection Public

    Pediatric Pneumonia Detection through GAN-Based Data Augmentation using deep learning models, including CNN and transfer learning with VGG16, on chest X-ray images.

    Jupyter Notebook

  4. German-Credit-Data-Analysis-and-Modeling German-Credit-Data-Analysis-and-Modeling Public

    This project analyzes the German Credit dataset to identify key factors influencing credit decisions and predict creditworthiness. It includes data cleaning, EDA, feature engineering, and model bui…

    Jupyter Notebook

  5. Financial-Sentiment-Analysis-using-NLP Financial-Sentiment-Analysis-using-NLP Public

    Analyzing and modeling a sentiment-labeled text dataset through preprocessing, feature engineering, and applying machine learning and deep learning models. The work is divided into multiple noteboo…

    Jupyter Notebook

  6. Superstore-Sales-Data-Analysis Superstore-Sales-Data-Analysis Public

    Sales data analysis project with an ETL pipeline built using Power Query. Key insights include sales performance, regional and product analysis, customer segmentation, and shipping trends. Visualiz…

    1