Predictive Analytics
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Wondering about machine learning in your efforts? Let’s talk the basics about Random Forest and XGBoost.
The business generalist or expert in a specific aspect of business operations might wonder about machine learning and data science. Random Forest and XGBoost are two techniques that are related and commonly used in business predictive modeling. I want to give you some basics for these frequently used techniques so you can be sharp enough… Continue reading
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Managing a Loan Portfolio with Great Analytical Tools
Partnering with Vector ML Analytics, my team transformed our consumer loan portfolio’s financial reporting, emphasizing advanced analytics for precision and efficiency. This collaboration covered data integration and deployment, improving reporting through automation, resulting in speed, accuracy, cost savings, and better decision-making. Our enhanced reporting capabilities now include detailed asset and liability insights, weekly cash flow… Continue reading
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Crypto futures trading can produce serious returns with predictive algorithms
Predictive models underpin many trading systems. In this post, I discuss the application to the emerging world of crypto futures. Tradery LabsI recently had the pleasure of doing some advisory and coaching work with a startup called Tradery Labs. Tradery Labs is bringing futuristic predictive-modeling techniques into a highly honed system that will democratize the… Continue reading
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An AI Crystal Ball? How We Predict Future Outcomes Using a Temporal Fusion Transformer Model
Our data science and analytics teams handle and apply lots of data for insightful decision-making. Last year, I presented the data science team with a challenge: use historical data to predict a key business driver for each of the next 8 periods. We wanted to have a data-driven preview of what we might see in… Continue reading
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Elevating Data Science with Operations Research Expertise
Introduction Who’s on a quest to develop advanced data science capabilities? One of my analytics team’s strategic expansion brought together diverse talents in statistics, applied math, and engineering. This case study explores the integration of operations research, fostering collaboration and knowledge diversity within analytics. Objective Our primary goal was to blend diverse skill sets, creating… Continue reading