- Builds semantic models in Microsoft Power Query using data from Azure, SQL tables, SharePoint files, and Excel workbooks.- Writes complex measures in DAX to enhance semantic models and generate business insights.- Optimizes DAX code using Tabular Editor and DAX Studio to improve model performance and user experience.- Builds data visualizations in Power BI reports.- Builds Paginated Power BI reports for distribution.- Designs Power Automate flows to query semantic models and export data to SharePoint.- Queries SQL tables to support ad-hoc business questions and support data modeling projects.

-Informed marketing campaign tactics by deriving actionable insights from machine learning algorithms, such as regularized regressions, k-means clustering, and DBSCAN via scikit-learn in Python.-Built interactive maps using Leaflet in R to visualize geographic transaction data and provided data-driven insights to influence pricing strategies and incentive programs.-Evaluated the success of customer experience programs by designing and analyzing surveys, performing hypothesis testing, and conducting A/B tests via Qualtrics, Python, and R.-Identified actionable trends and communicated insights to executives by integrating Python and R scripts within real-time Power BI dashboards to generate custom visualizations of Salesforce data.-Calculated the revenue return against R&D expenditure across core product portfolios to identify key opportunities for accelerated investment.-Developed key metrics to track overall business health and built enterprise-level dashboards in Power BI that provided real-time revenue trends for entire product portfolio to executives.-Programmed generalized linear models in Python to forecast marketing campaign performance and built a decision support tool for end users to make informed decisions based on historical data.-Built a decision tree classifier in Python to identify key predictors of marketing lead evaporation and presented key insights to management, enhancing segmentation of prospective customers.-Wrote DAX, MDX, and SOQL queries to extract data from MDBs and Salesforce for ad-hoc analyses and reporting.

-Built custom reports in Power BI to enable real-time reporting of key performance indicators.-Designed A/B tests and conducted hypothesis tests to evaluate the success of a free trial program, informing future product strategy.-Developed an autoregressive random forest model in Python to forecast monthly company revenue based on historical sales data, achieving a median relative error of less than 25% on test data.-Converted numerous manual Excel-based reports into automated Power BI dashboards, saving 10+ hours of work per week.-Communicated with end users and stakeholders to obtain business requirements for reports and data exports.

-Programmed a parallelized dynamic program in Python to efficiently search billions of parameter combinations to design a water market experiment.-Served in a teaching assistant role for a 400-level undergraduate economics course.-Presented research progress to senior faculty and PhD candidates at weekly meetings.-Managed a small team to design, run, and analyze economic experiments with over 100 participants.

-Designed and proposed a market mechanism to allocate office space to employees.-Presented slides to executives.

-Participated in regular seminars to discuss book readings and innovative ideas in Political Economy.

-Conducted experiments to model the relationship between the magnetic permeability of ferromagnetic cylinders and their material composition to optimize magnetic field cloaking.-Wrote custom image detection software in MATLAB to perform frame-by-frame data analysis of high-speed videos in conjunction with granular physics research.-Programmed economic experiments in JavaScript and enabled cloud storage using Google Firebase.-Designed advanced data visualizations and presented research at two undergraduate symposiums.

-Managed budget for large-scale renovation project costing thousands of dollars.-Procured inventory, such as chairs, tables, and speaker systems within budget constraints.-Conducted market research on competitors to inform pricing and discount strategies.

-Improved Salesforce record-keeping and database utilization.-Developed automated email processes to save time and make external communication, such as reminders, more efficient.-Planned fundraising activities which raised thousands of dollars.

-Served hundreds of customers on busy days.-Monitored inventory to identify when ingredients needed to be transported from the warehouse to on-site freezer.-Handled thousands of dollars in cash with no discrepancies at cash register reconciliation.

-Prepared an event hall for weddings by sweeping floors, polishing glasses, and arranging furniture.