• Climate Change

  • Simple linear regression to determine predicitve variables that contribute to ClimateChange as measured by Temperature changes between 1983 to 2008.
  • Takeaways: There are certain factors that we can say with certainty contribute to increasing global temps, however with limited data we can only be probabilistic to roughly 50%.

• Decision Analysis

  • Using Microsoft Excel's "Solver" plugin I demonstrate five different business use cases. Solver plugin is a wonderful tool for applying linear algebra to business problems.
  • Case1: Calcuate potential cash flow over term duration on real estate development using constraints: savings interest, loan interest, cash on hand, and diversification.
  • Case2: Yes or No decision modelling based on natural resource constraints and manufacturing COGS.
  • Case3: Price optimization and gaurdbanding based on COGS.
  • Case4: Decision trees using Microsoft Excel plugin "TreePlan." Calculate probablistic return on investments based on capex, favorable or non-favorable outcomes at each decision point.
  • Case5: Project and operational planning using Oracle Crystalball. Factors in probabilistic lead times as a normal distribution to prioritize competing activities.

• Intro Data Analysis with Python

  • Intro to pandas, numpy, matplotlib, and the infamous "Iris" dataset.

• Loan Repayments

  • Simple Logit to determine probability of loans defaulting or not depending on various factors such as type of loan, FICO score, interest rate, etc.
  • Takeaways: From an investor point of view, we can use to logit to determine which loans are favorable to lend based on risk aversity.

Molecular Biologist 🧬 > Data Science 📊 > Information Systems @ UW Foster School of Business 🎒

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