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Robertfnicholson/README.md
  • 👋 Hi, I’m Bob Nicholson.
  • 👀 I’m an experienced data and financial analyst who helps organizations solve data and financial problems. I am an analytical thinker with the ability to mine hidden gems. I am good at changing dry analysis into an exciting story that drives business critical decisions.
  • 🌱 I’m currently enrolled in The Ohio State University's Data Analytics Boot Camp. This is an intensive and comprehensive 24-week program. I have learned Python Programming, Matplotlib, Pandas, SQL, NoSQL, Mongo, PostgreSQL, pgAdmin, RESTful APIs using Python requests, the ETL process, visualizations using Tableau, data mining, web data scraping, machine learning, among others. Please see my projects in my repositories including Employee Database, World Weather Analysis, School District Analysis, PyBer Analysis, Movies ETL, and Election Analysis.
  • 💞️ I’m looking to collaborate on data and financial analytics and science topics.
  • 📫 How to reach me is through my email at robertfnicholson@gmail.com.

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  1. School_District_Analysis School_District_Analysis Public

    Used Python, Anaconda, Jupyter Notebook, and Pandas library. I created and activated a development environment for the project. I inspected csv files containing data on the school district; cleanin…

    Jupyter Notebook 1

  2. World_Weather_Analysis World_Weather_Analysis Public

    I used Python, Jupyter Notebook and the city PI module to get the cities for more than 700 random latitudes and longitudes then I requested on the open weather map API and retrieve the JSON weather…

    Jupyter Notebook 1

  3. Pewlett-Hackard-Analysis Pewlett-Hackard-Analysis Public

    Built employee database using SQL by applying data modeling, engineering and analysis skills. I prepared an entity relationship diagram (ERD). I used PostgreSQL and pgAdmin to write SQL scripts to …

    HTML 1

  4. Movies_ETL Movies_ETL Public

    This challenge involved implementing the data pipeline process known as ETL on movie and ratings dataset in order to provide clean datasets.

    Jupyter Notebook 1

  5. Credit_Risk_Analysis Credit_Risk_Analysis Public

    Developed Machine Learning Models to Predict Credit Risk

    Jupyter Notebook 3 1

  6. Cryptocurrencies Cryptocurrencies Public

    Used Machine Learning to create a cryptocurrency classification system for my investment banking client who is interested in offering cryptocurrencies for its customers.

    Jupyter Notebook 1