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nikulnayi/README.md

Hi there! 👋 I'm Nikul Nayi - Data Scientist

Welcome to my GitHub! I'm passionate about leveraging data to derive insights and build innovative solutions. I love to create impactful projects.

About Me

  • 🎓 Recent graduate in Artificial Intelligence and Data Science from Loyalist College, Toronto
  • 🚀 Data-driven decision-maker with hands-on experience in machine learning and data analytics
  • 🌐 Skilled in full-stack web development using Laravel (PHP) frameworks
  • 💡 Constantly seeking opportunities to learn and grow in the ever-evolving tech world

Skills

  • Machine Learning: Generative AI, NLP, TensorFlow, scikit-learn
  • Data Visualization: Power BI, Matplotlib, Seaborn
  • Database: SQL, DBMS/RDBMS
  • Cloud: AWS (EC2, S3, Lambda, SageMaker, Elastic Beanstalk), Azure
  • DevOps: CI/CD, Git, Docker

Featured Projects

Predicting student performance using machine learning techniques, deployed on AWS and Azure with CI/CD pipeline.

Detecting unusual patterns in cell tower behavior to optimize configurations and enhance performance.

A deep learning-based traffic sign detection and classification system achieved state-of-the-art performance.

Implemented a deep learning model to recognize hand-drawn digits with high accuracy.

Predicting stock prices using the Prophet model, with a user-friendly Streamlit dashboard.

Let's Connect

Feel free to explore my projects, collaborate, and get in touch with me. Let's build the future together!

Pinned Loading

  1. Student-Performance-End-to-End-Project Student-Performance-End-to-End-Project Public

    This project aims to analyze and predict student performance using a comprehensive end-to-end pipeline. It includes data preprocessing, model training, deployment, and continuous integration/contin…

    Jupyter Notebook

  2. Telewire-Analytics Telewire-Analytics Public

    Developed a project for Tele-wire Analytics, a cell tower company, to detect and analyze the behavior of cell towers in order to identify unusual patterns and make necessary configuration changes.

    Jupyter Notebook 1

  3. German-Traffic-Sign-Recognition German-Traffic-Sign-Recognition Public

    Developed a project for the German Traffic Sign Recognition Benchmark using TensorFlow.

    PureBasic

  4. MNIST-Classification-using-Tensorflow MNIST-Classification-using-Tensorflow Public

    This repository contains code for training and evaluating a deep learning model to classify handwritten digits using the MNIST dataset. The code demonstrates three different approaches to building …

    Python 1

  5. Stock-Prediction-Dashboard Stock-Prediction-Dashboard Public

    This project aims to predict stock prices using the Prophet model. It includes a Streamlit dashboard for displaying historical data and making predictions for the next working day.

    Python 1