I pride myself on being a coachable and versatile professional with proven expertise in data analysis and communication. Throughout my career, my positions have focused on translating highly technical information into intuitive formats.

My current role is that of a data specialist, creating and maintaining Power BI dashboards which communicate the activity of programs at Energy Trust of Oregon which provide energy efficiency technology to low and moderate income Oregonians (and Washingtonians). I also program Shiny apps to automate day-to-day operations, conduct ad-hoc data requests and analysis, and use SQL to identify data quality issues in our relational databases.

Professional skillset:

• Programming and other digital tools: R, Python, SQL, VBA, Power BI, Excel,Git, HTML, JavaScript.
• Data Analysis: Data collection, data scrubbing/wrangling, visualization, analysis (regression, hypothesis testing, EDA), machine learning (KNN, decision trees, logistic regression, random forest), big data (Google Bigquery).
• Sectoral Policy Expertise: economic development, regional growth, international trade, infrastructure, broadband internet access, energy policy, utilities, financial institutions, political economy analysis and quality of governance.

Previous Research:

• Barriers to Business in Albania, Serbia, and North Macedonia
• General Election Polling Errors (Hypothesis testing)
• Predicting Survivors from the Titanic (Machine Learning, R)
• Predicting NBA AllStar Selections (Machine Learning, R)
• Employee Satisfaction Survey, Basline Data Report (Surveys)
• ARIMA Forecast of Retail Sales (Forecasting)
• Coronavirus Lockdowns and International Trade (Policy Analysis, International Trade, R)
• Corruption in Russia (Political Economy Analysis)
• Lobbying in the United States (Political Economy Analysis)
• Research Proposal: Hedonic Valuation of Access to Public Transportation (Housing, Research Design, Regression Analysis)