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amanchaurasia/README.md

Hi there! I'm Amann Chaurasia 👋

📊 Senior Data Analyst | Machine Learning & Root Cause Analysis

A dedicated Senior Data Analyst based in Santa Clara, USA. I specialize in translating complex data into actionable insights, with a focus on Root Cause Analysis, Exploratory Data Analysis, and building robust Forecasting and Predictive Modeling solutions. My goal is to drive data-informed decision-making.

🚀 I'm Currently Focused On...

Focus Area Goal Key Skills Used
Learning Goal Mastering advanced predictive models using ensemble methods and deep learning for more accurate long-term forecasting. Python, Scikit-learn, TensorFlow/PyTorch
Data Projects Building end-to-end data pipelines for automated root cause analysis reporting. PostgreSQL, Docker, Python
Cloud Enhancing infrastructure management using BigQuery on GCP for reproducible data environments. Terraform, GCP, Kubernetes

🛠️ My Data Toolkit and Technologies

I use a blend of programming, database, and cloud tools to build scalable data solutions.

Languages

Key Data Skills & Focus

Backend, Databases & Cloud

DevOps & Orchestration

📊 My GitHub Activity

Here are a few quick stats about my contributions:

Amann's GitHub Stats Top Languages

Profile views counter

🤝 Connect with Me

I'm always open to discussing data science, predictive modeling, or interesting data visualization projects!

LinkedIn Email

Popular repositories Loading

  1. property_engagement_prediction property_engagement_prediction Public

  2. outlier_detection outlier_detection Public

    A data project to flag Outliers and anomalies in financial data using sklearn, Pandas and Numpy.

    Jupyter Notebook

  3. amanchaurasia amanchaurasia Public

    This is my profile description

  4. airbnb_market_analysis airbnb_market_analysis Public

    The goal of this project is to analyze, understand, visualize, and communicate the Airbnb demand / supply in the market.

    Jupyter Notebook

  5. lyft_drivers_lifetime_value lyft_drivers_lifetime_value Public

    This project analyzes the total value of a driver to Lyft over the entire projected lifetime of a driver using EDA and K-mean Classification

    Jupyter Notebook