About Me 

I earned a MS in Business Analytics from the University of Illinois at Chicago, and hold BAs in Economics and Music from Grinnell College, with honors. I’m passionate about deploying my analytical skills to identify and communicate data-driven insights to both technical and non-technical stakeholders. Outside of my professional interests, I enjoy composing a cappella arrangements, and running.

 My Skills 

With a background both studying and teaching statistics, I have practical experience constructing machine learning models and designing data visualizations.

  Machine Learning 

  • Decision trees

  • Random forests

  • KNN

  • Gradient Boosting

  • Logistic Regression

  • SVM

Feature Engineering

  • PCA

  • RF variable importance

  • L1 and L2 norms

  Model Evaluation 

  • Cross-validation for hyper-parameter tuning

  • Confusion matrices

  • ROC curve

  • Precision/Recall/F1-score

 Programming/Scripting Languages 

        Data Visualization Tools      

 ETL Tools   

  My Experience  

  • Kavi Global Analytics (2021)

    Data Science Capstone Intern

    • Spearheaded team of 4 analysts to forecast weekly commodity freight traffic (Python)

    • Communicated with management to quickly resolve scheduling/deadline conflicts for deliverables

    • Final deliverable was approved over a month early and implemented by leadership

  • Signode Inc. (2021)

    Market Analyst Intern

    • Identified outdated database product descriptions, and efficiently liaised with product managers to redefine data definitions for 1,000 products in under 4 weeks

    • Leveraged pivot tables and visualization software (Power BI) to build sales reports for managers

  • Driving Forward Consulting (2021)

    Consulting Intern

    • Strategized a data-driven business plan for bitcoin hardware firms focused on driving sustainability initiatives and navigating a shifting regulatory landscape

    • Presented to executives and was granted “Best Business Plan” award

  • UIC Business School (2020)

    Business Statistics Teaching Assistant

    • Led instructional sessions for statistics courses with more than 200 students

    • Communicated core statistical concepts in language that non-technical students could grasp

  • Morningstar Inc. (2019)

    Financial Product Specialist

    • Led software training sessions for over 1,500 financial advisors

    • Negotiated timelines with major clients to meet pressing report deadlines

   My Projects   

  • Visualizing Airline On-Time Performance

    Delineating airline flight delays by geography using Tableau and Python

    Check It Out

  • Time Series Analysis of Freight Traffic

    Deploying ARIMA and VAR models with Python to forecast commodity shipping volumes

    Check It Out

  • Loan Default Prediction

    Predicting loan defaults on a dataset of 100,000 loans with R using Decision Tree and Random Forest models

    Check It Out

  • Power Grid Distribution Analysis

    Evaluating the relationship between the geographic distribution and power transmission volume of 5,000 power generators from the “Western States Power Grid” using R

    Check It Out