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pranjay19/README.md

Hi πŸ‘‹, I'm Pranjay Guleria

Master of Data Science Student at RMIT University | Ex-Product Manager @ Antino | Aspiring Data Scientist

Coding


πŸš€ About Me

  • πŸŽ“ Master of Data Science student at RMIT University, Melbourne
  • πŸ’Ό Ex-Product Manager at Antino with experience in analytics-driven product development
  • πŸ“Š Interested in Machine Learning, Data Science, AI Systems, Data Engineering, and Data Analytics
  • 🐍 Skilled in Python, SQL, Data Analysis, and Full Stack Development
  • ☁️ Hands-on experience building cloud-based data pipelines and analytics systems using AWS
  • πŸ“ˆ Experienced in KPI tracking, data visualization, exploratory data analysis (EDA), ETL, and automation systems
  • ⚑ Passionate about building intelligent and data-driven applications

πŸ› οΈ Tech Stack

Languages

  • Python
  • SQL
  • JavaScript
  • C++

Data Science & Analytics

  • Pandas
  • NumPy
  • Matplotlib
  • Seaborn
  • Scikit-learn
  • Power BI
  • Excel

Machine Learning & MLOps

  • Machine Learning
  • Predictive Modeling
  • MLflow
  • Amazon SageMaker
  • SageMaker Studio

AWS & Cloud

  • Amazon S3
  • AWS Glue
  • AWS Glue Workflows
  • Amazon EventBridge
  • Amazon Athena
  • AWS Lambda
  • Amazon API Gateway
  • AWS IAM
  • Amazon SageMaker
  • SageMaker Studio

Web & Software Development

  • React.js
  • Node.js
  • Express.js
  • MongoDB
  • FastAPI
  • Streamlit

Tools & Platforms

  • Git & GitHub
  • JIRA
  • Miro
  • Vite
  • Tailwind CSS

πŸ“Œ Current Focus

  • Machine Learning
  • Data Science Projects
  • Deep Learning Fundamentals
  • End-to-End ML Applications
  • Cloud Data Engineering
  • AWS Data & Analytics
  • MLOps
  • AI + Product Engineering

πŸ“‚ Featured Areas

  • πŸ“Š Data Analytics Projects
  • πŸ€– Machine Learning Projects
  • ☁️ AWS Data Engineering Projects
  • 🧠 AI & ML Applications
  • 🌐 Full Stack Applications
  • βš™οΈ Automation Systems
  • πŸ“ˆ Visualization Dashboards
  • πŸš€ ML Deployment & MLOps

🌐 Connect With Me


πŸ“ˆ GitHub Stats

pranjay19

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  1. victorian-housing-analytics victorian-housing-analytics Public

    End-to-end serverless data pipeline using AWS (S3, Glue, Athena, Lambda) implementing a Bronze/Silver/Gold medallion architecture, visualized with a React dashboard.

    JavaScript

  2. real-time-fraud-detection real-time-fraud-detection Public

    End-to-end Machine Learning & MLOps project for real-time credit card fraud detection using Random Forest, SMOTE, MLflow, FastAPI, and Streamlit with live deployment.

    Jupyter Notebook 1

  3. house-price-prediction house-price-prediction Public

    This project is a machine learning web application that predicts house prices based on various structural and locational features. The interactive user interface is built with Streamlit to provide …

    Jupyter Notebook 1

  4. Melbourne_Housing_-_Rental_Affordability_Index Melbourne_Housing_-_Rental_Affordability_Index Public

    A data-driven analysis project identifying the most affordable and optimal Melbourne suburbs for international students, built using Python, Pandas, and Data Engineering pipelines.

    Jupyter Notebook

  5. YOLOv4-Cloud-Tutorial YOLOv4-Cloud-Tutorial Public

    Forked from theAIGuysCode/YOLOv4-Cloud-Tutorial

    This repository walks you through how to Build and Run YOLOv4 Object Detections with Darknet in the Cloud with Google Colab.

    Jupyter Notebook

  6. VIRTUAL-PAINTER VIRTUAL-PAINTER Public

    Virtual Painter is a computer vision-based application where users can freely draw from the tip of the coloured markers in real-time using web-came.

    C++