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poojapatel26/README.md

Hi there 👋 Welcome to my github.

I am a Data Analyst/Data Engineer and budding Data Scientist helping organizations harness the power of data. I have work experience of 3 years across geographies in advertising(AdTech) and manufacturing domain.

  • 🎓 I graduated with Masters in Data Science from Pace University in December 2023
  • 👀 I’m currently looking out for full-time opportunities where i could apply my technical and functional skills to drive actionable results using data
  • 📫 How to reach me LinkedIn
  • 📈 Check out my data portfolio Pooja Patel's Portfolio

I am proficient in Data Analytics and Machine Learning concepts and demonstrate a background in Python, SQL, Snowflake, AWS and Tableau.

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  1. Supply-Chain-Analytics Supply-Chain-Analytics Public

    This is a supply chain analytics project using Python, Tableau. In which conducted an analysis of supply chain inefficiencies, and developed informative dashboards to inform business stakeholders o…

    Jupyter Notebook 2 1

  2. Marketing-Analytics Marketing-Analytics Public

    This is a Campaign Marketing Analytics Project using Tableau. Conducted an analysis of a 5-month Paid Search Campaign at a US shopping mall during 2021, with a primary focus on optimizing conversio…

  3. Optimizing-Retail-Company-Revenue-Using-SQL Optimizing-Retail-Company-Revenue-Using-SQL Public

    This is a data analysis project using Advance SQL. In which analyzing product data to optimize the revenue of online sports retail company.

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  4. Time-Series-Stock-Price-Prediction Time-Series-Stock-Price-Prediction Public

    This is a Time-Series Data Science Project of creating a trading strategy (buy or sell stock) analysis based on historical values.

    Jupyter Notebook 2

  5. Golden-Years-for-Video-Games Golden-Years-for-Video-Games Public

    This project explores video game sales data from 1977 to 2020 using PostgreSQL. Which will explore the golden age of video games for all the time.

    Jupyter Notebook

  6. Arvato-Bertelsmann-Customer-Segmentation-Project Arvato-Bertelsmann-Customer-Segmentation-Project Public

    This is a Data Capstone project, Supervised and Unsupervised Learning Algorithms are used to characterize the customer segment of the population and predict customers for Arvato Financial Solutions.

    Jupyter Notebook 1 1