Blue Cross and Blue Shield of Minnesota

- Use machine learning methods to predict the likelihood of members being diagnosed with certain conditions to help with prospective targeting and retrospective reporting. 
- Implement reproducible data science workflows by using version control, documenting code, and maintaining organized file structures. 
- Founded and continue to lead a Data and Analytics “lunch and learn” to share ideas across the organization and welcome new associates.
- Mentored two groups of college students that worked on projects with Blue Cross.
- Evaluate the value of external vendors’ supplementary data and outreach programs.

Principal Data Scientist

Macalester College

- Taught courses across the Statistics and Data Science curriculum, including developing a new Advanced Data Science in R course. I have put my materials online to make them more accessible to students and the broader community: Introductory Data Science (https://ds112-lendway.netlify.app/ ) and Advanced Data Science (https://advanced-ds-in-r.netlify.app/) courses. 
- Advised majors and coach seniors in their capstone presentation.
- Attended monthly department meetings and participated in department activities.
- Contributed to defining the new Data Science and Statistics curriculums and organized the monthly alumni speaking events.

Assistant Professor, NTT

Securian Financial Group

- Developed materials to teach R techniques like data visualization, exploratory data analysis, and - basic model fitting.
- Showed the company ways they could use R to enhance reporting and make them less prone to errors, for example, converting a procedure that took almost four hours to run in Excel to R code that ran in less than a minute.
- Improved the process used to price group life insurance policies by using predictive modeling to develop more accurate mortality rates and using Bayesian methods to combine mortality experience of clients with mortality from predictive models.

Statistics and Advanced Analytics Consultant

Health Catalyst

- Collaborated with data scientists to build an R package that would expedite predictive model development and simplify deployment of a final model.
- Used data from the electronic medical record to develop a predictive model for
readmission risk that was used by care coordinators to help decide who needed extra attention.

Senior Data Scientist

Allina Health

- Supported front line staff by helping them understand relationships between data, processes, and outcomes of the services they provide in order to identify areas of potential improvement.
- Created an R program mapping geographical data on hospital practices and outcomes that allows users to visualize differences down to the zipcode level.
- Advised other analysts and users of data in best practices regarding statistical analysis and data visualization.
- Taught a three hour statistics overview course bimonthly. Also taught a short introductory R course and created a user guide for the other analysts.

Senior Statistician

HealthEast

- Assisted clients with statistical analysis from the planning phase through the reporting and publication phase.
- Served as statistical expert within the organization.
- Designed and taught a rudimentary statistics course that focused on basic sum-
mary statistics and graphical techniques.

Senior Biostatistician

Visiting Assistant Professor

University of Minnesota

- Managed all undergraduate introductory statistics for Spring 2012, including decisions on curriculum, developing new course materials, and overseeing graduate student instructors for six sections.
- Taught introductory statistics courses for undergraduate and graduate students  that covered confidence intervals, hypothesis testing, linear regression, and bootstrapping.
- Received consistently high marks on teaching evaluations from students.

Lecturer & Graduate Student Instructor

- Advised and assisted over 100 clients and 10 departments with statistical analyses involving experimental design, regression, power calculations, and longitudinal data analysis, among others.
- Learned how to use new software tools, including SPSS and JMP, in order to better serve clientele.
 - Helped clients prepare results of their statistical analyses for publication.

Statistical Consultant

Target

- Assisted in developing an innovative methodology for personalized coupon campaigns.
- Worked with large data sets often consisting of over 100,000 rows with hundreds of variables.
- Built more than 100 logistic regression models used by the direct marketing team in making strategic campaign decisions.
- Streamlined and documented SAS code used in model building so it could be efficiently reused and understood by many data analysts.
-  Received praise for effectively communicating and presenting highly mathematical results in a way that clients could understand.
- Supervised an intern, involving daily advising, weekly progress meetings, and mid- and summer-end reviews.

Data Analyst

Principal Data Scientist at Blue Cross and Blue Shield of Minnesota with expertise in Machine Learning, Statistics, Experimental Design, and Data Visualization.

Experienced statistician/data scientist and educator with a demonstrated history of working successfully in a variety of industries including healthcare and insurance. She is highly skilled in R, from data wrangling and visualization with the tidyverse packages to complex machine learning models with tidymodels. She has a deep knowledge of statistical modeling with a PhD in Statistics from University of Minnesota-Twin Cities.

Taplio

Lisa Lendway's Linkedin Analytics

Lisa Lendway

Want to drive more opportunities from LinkedIn?

Taplio

.css-1jgreyo{background-image:linear-gradient(284deg, rgba(39,43,72,1) 0%, rgba(33,47,183,1) 100%);color:transparent;-webkit-background-clip:text;background-clip:text;}Lisa Lendway's Linkedin Analytics

Lisa Lendway

Want to drive more opportunities from LinkedIn?

Lisa Lendway's Linkedin Analytics