Experience

Carlson Analytics Lab

• United States
• Information Services
• 1 - 100 Employee

• Data Scientist Intern

  • Jan 2023 - Present

  Predictive Analytics for a Client• Developing a predictive risk score model and prioritize staffing investigations to alleviate future bottlenecks.• Creating a Tableau dashboard to provide a tool to monitor model performance and urgent investigations.

• Data Science Student Consultant

  • Jun 2022 - Dec 2022

  Predictive Analytics for a Client• Predicted donations using media data of mentions in the last 2 years for better planning of operations and logistics using Python.• Ranked top sources using Multiple Linear Regression on media data and donation amount to prioritize allocation of resources.• Identified the top media source and ranked subcategories to identify areas to cultivate relationships.Unsupervised Learning for a Client• Created clustering models in Python to segment 100K customers to understand disparity between resources and test scores.• Uncovered factors about geographic and demographic factors that impacted test score performance using Python and Tableau.



Thrivent

• United States
• Financial Services
• 700 & Above Employee

• Business Intelligence Analyst

  • Nov 2020 - Apr 2022

  • Analyzed client’s financial and demographic data using SQL to uncover trends and purchase behavior for internal stakeholders. • Completed analyses of clients to model expected new clients in the next year for planning of 10+ departments using SQL. • Supported KPI measurement and reporting of clients for board decks, executive correspondence, and Power BI dashboards. • Analyzed client’s financial and demographic data using SQL to uncover trends and purchase behavior for internal stakeholders. • Completed analyses of clients to model expected new clients in the next year for planning of 10+ departments using SQL. • Supported KPI measurement and reporting of clients for board decks, executive correspondence, and Power BI dashboards.



Opportunity Partners

• Netherlands
• Financial Services
• 1 - 100 Employee

• Data Analyst

  • Jun 2018 - Jul 2020

  • Implemented 7+ forecasting models for various program sites and services that enabled more accurate monthly budgeting. • Utilized NLP for sentiment analyses on daily notes of students to visualize spikes in bad behavior over the past year. • Created a donor probability model using machine learning to predict which donors are more likely to donate in the next year. • Implemented 25+ Power BI reports for within the organization to encourage the adoption of data driven decision making. • Supervised an analytics intern in Power BI dashboard creation and internal consulting of a data migration project.



Trane

• Germany
• Industrial Machinery Manufacturing
• 1 - 100 Employee

• Data Scientist Intern

  • Jun 2017 - Aug 2017

  • Created a Random Forest model to predict and forecast HVAC power demand across 100’s of different sites using SQL and R. • Utilized other machine learning algorithms including neural networks, support vector machine, and boosted decision trees for development of the HVAC prediction model. • Created a Random Forest model to predict and forecast HVAC power demand across 100’s of different sites using SQL and R. • Utilized other machine learning algorithms including neural networks, support vector machine, and boosted decision trees for development of the HVAC prediction model.



University of Minnesota-Twin Cities

• United States
• Education Management

• Undergraduate Research Assistant

  • Jan 2017 - May 2017

  I work with RNA sequence data from plant cells and analyze the count data through R to see which genes in the plants are effected by different treatments done in the experiments performed by the professor's team. I use general linear models(GLM's) to better analyze the enormous amount of RNA sequence data. When visualizing data I use R and use 3D plots and agglomerative hierarchical clustering of genes to find different trends and be able to understand and ultimately answer the research question at hand.

• Student Parking Attendent

  • Aug 2016 - May 2017

  Weekdays: Help supervise parking booths and help with problems concerning the pay stations and help with general questions they might have.Weekends: Work event shifts and work with a group of attendant and take payments from a large amount of people and also help out with any questions they might have



Tibetan American Student Association

• President

  • Sep 2016 - May 2017

  Main goal is to spread Tibetan culture to the University of Minnesota student body and outward. Conducts bi-weekly meeting aimed to talk about Tibetan culture and help plan for future events to promote Tibetan culture Main goal is to spread Tibetan culture to the University of Minnesota student body and outward. Conducts bi-weekly meeting aimed to talk about Tibetan culture and help plan for future events to promote Tibetan culture



Minnesota Department of Commerce

• United States
• Government Administration
• 1 - 100 Employee

• Data Analytics Intern

  • May 2016 - Aug 2016

  • Transformed census data with R for Tableau visualizations on major factors that affected insurance rates in Minnesota counties. • Explored Tableau as a viable BI tool and helped create insights in what factors contributed to companies’ insurance rate models. • Transformed census data with R for Tableau visualizations on major factors that affected insurance rates in Minnesota counties. • Explored Tableau as a viable BI tool and helped create insights in what factors contributed to companies’ insurance rate models.