Dr. Pooja Khosla, Director of Data Science at Entelligent

Dr. Pooja Khosla is an extraordinarily inspiring woman. She is an excellent Senior Data Scientist, a top-rated instructor, and an amazingly caring mother.  Read more about this marvelous woman here. Tell us a little bit about yourself? My name is Dr. Pooja Khosla, I split my time between teaching and working for a startup called […]

Tone Analysis of Supreme Court Nominee Brett Kavanaugh and Dr. Christine Blasey Ford

The September 27th testimony before the Senate Judiciary Committee by Supreme Court Nominee Judge Brett Kavanaugh, and one of his accusers, Dr. Christine Blasey Ford, stirred many emotions. The testimonies themselves, and the reactions to them, have gripped the media and the nation for almost an entire week.  I wanted to examine the testimonies’ substance […]

Helping a Non-Profit Find Potential Donors based on Income Data

In the Notebook below, I use supervised machine learning algorithms to help a non-profit predict whether an individual makes more or less than $50,000. This information is very important to them because it will inform their fundraising efforts.  I explain the approach to the problem, how to go about pre-processing the data, how to create […]

Carina Corbin, Technical Business Analyst at Avanade

Recently, I spoke to Carina Corbin, a technical business analyst at Avanade. Carina’s calm yet insightful attitude is telling of a certain level of intelligence that many strive for but only few achieve. Together, we discussed her current career as a software developer, business analyst, and consultant, her aspirations and advice for younger women entering […]

Rachel Boyette, Financial Analyst at Consumer Protection Agency

In today’s post, we feature Rachel Boyette, a fearless and incredibly confident young financial analyst who works for a state level agency with consumer protection. Due to the nature of her position, she requested that we keep her employer’s information private. Rachel is a multifaceted person who initially wanted to be a lawyer, became a […]

Automobile Options Association Rule Mining (Data Mining)

In this exercise, I analyze the purchases of automobile options and infer association rules to provide better recommendations for future purchases. Association Rule Mining is a rule based machine learning method that looks to uncover associations and/or correlations within the available data. This type of analysis is also sometimes called affinity analysis or market basket […]

Credit Risk Classification Analysis (Data Mining)

In this post, I examine credit risk data and create a classification model using the K-Nearest Neighbor Algorithm (K-NN) to predict credit risk rating.  In this exercise, the client had several new loan applicants and needed to asses the credit risk of the applicants. They provided historical data that included customers’ purchases, financial and demographic information […]