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My name is Shane McCallum! As a Data Scientist, I have developed a solid foundation of technical and interpersonal skills that have enabled me to succeed in all aspects of the data science field. I am confident in my ability to lead a team on a project; communicate the findings and recommendations of an analysis; or assist in the development of advanced machine learning algorithms. I thrive on tackling complex and difficult problems and employ advanced technical tools to educate, inform, and propel businesses.

With my skills in data science and sociology, I am eager to use data to inform business professionals with the facts and truth that the data presents. However, as a data scientist, I recognize the need to ethically consider the humanitarian, environmental, and economical impact of data and how to best present such findings.

  • šŸ”­ Iā€™m currently working on ... a time series forecasting the value (USD) of gold per ounce (GLD) based on the closing value of the S&P 500 Index (SPX).
  • šŸŒ± Iā€™m currently learning ... the art of customer segmentation!
  • šŸ‘Æ Iā€™m looking to collaborate on ... my Diversity v. Violence index for violent crime rates in the US!
  • šŸ¤” Iā€™m looking for help with ... any kind of stock and fund forecasting!
  • šŸ’¬ Ask me about ... how you can develope your communication and presentation skills!
  • šŸ“« How to reach me: You can find me on LinkedIn.
  • šŸ˜„ Pronouns: "He/Him/His"
  • āš” Fun fact: I used to be a sheriff deputy! Quite the career change!

SHANE MCCALLUM's Projects

4lk0htj8uluugotc icon 4lk0htj8uluugotc

ACME is one of the fastest growing startups in the logistics and delivery domain. We work with several partners and make on-demand delivery to our customers. During the COVID-19 pandemic, we are facing several different challenges and everyday we are trying to address these challenges. At ACME we thrive for making our customers happy. As a growing startup, with a global expansion strategy we know that we need to make our customers happy and the only way to do that is to measure how happy each customer is. If we can predict what makes our customers happy or unhappy, we can then take necessary actions. Getting feedback from customers is not easy either, but we do our best to get constant feedback from our customers. This is a crucial function to improve our operations across all levels. We recently did a survey to a select customer cohort. You are presented with a subset of this data. We will be using the remaining data as a private test set.

arimax-gold-and-s-p500-time-series icon arimax-gold-and-s-p500-time-series

The purpose of this repository is to test the hypothesis that the S&P 500 index has an exogenous relationship to the price of Gold; specifically that as the S&P index falls, the value of Gold will increase.

data-society-netflix-capstone icon data-society-netflix-capstone

The capstone I completed for Booz Allen Hamilton's Tech Excellence in Data Science program. This covers a variety of methods for predicting the IMDB score of a movie based off of the features of the data.

diversity-and-violence--is-there-a-connection- icon diversity-and-violence--is-there-a-connection-

In this capstone, I hope to see if there exist a strong relationship between the level of diversity in a US county and the rate of violent crime, as reported to the FBI. If there is, I will attempt to develope a model that can predict the level of violent crime within a county if given the level of diversity.

featuretools icon featuretools

Adapted exercise from here: https://github.com/Featuretools/predict-customer-churn/blob/master/churn/3.%20Feature%20Engineering.ipynb

featuretools-1 icon featuretools-1

An open source python library for automated feature engineering

predict-customer-churn icon predict-customer-churn

A general-purpose framework for solving problems with machine learning applied to predicting customer churn

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