About

I am currently a Data Engineer at American Family Insurance and a graduate of Baruch College with a master’s degree in Information Systems/Data Analytics. I seek to help organizations effectively and efficiently leverage big data solutions to make informed decisions, reduce uncertainty, and drive value for clients and stakeholders.

In my previous role as a Data Science Intern at Pitney Bowes, I created detailed analyses and predictive machine learning models, and I communicated key insights with business stakeholders and C-level executives. Before my internship at Pitney Bowes, I worked at DojoMojo as part of the Customer Success team, leading a team of three partnership marketing specialists to help our clients grow their businesses through brand-aware and data-driven partnerships. Prior to my time at DojoMojo, I taught high school English in Wisconsin.

Technology Skills:


  • Programming Languages: Python (NumPy, pandas, Matplotlib, Seaborn, Scikit-learn, SciPy), R, C++, HTML5/CSS3

  • Data Mining/Machine Learning: linear and logistic regression, random forests, gradient boosting, XGBoost, clustering algorithms, recommendation algorithms, principal component analysis, independent component analysis, text mining, natural language processing, time series analysis and forecasting (Facebook Prophet, seasonal ARIMA)

  • Distributed Data/Big Data Technologies: Hadoop MapReduce, Spark

  • Database Management: SQL, Snowflake, PostgreSQL, MySQL, Google BigQuery, ETL processes

  • Cloud Computing: Amazon Web Services (AWS): Kinesis, S3, Glue, Lambda, Athena

  • Productivity/Software Engineering: Git/GitHub/GitLab, Jira, Docker, Unix/Linux shell

  • Data Visualization: Tableau, Microsoft Excel

  • Simulation: AnyLogic Multimethod Simulation Software Training (completed April 2021)

  • Additional quantitative/technical skills: Probability/statistics, linear algebra, data cleaning and visualization


Degree Coursework:

  • Data Warehousing and Analytics

  • Big Data Technologies

  • Data Mining for Business Analytics (Machine Learning)

  • Object Oriented Programming (C++)

  • Information Systems Development and Project Management

  • Programming for Analytics (Python)

  • Database Management

  • Systems Analysis and Design

  • Information Technology Strategy

  • Managerial Statistics