Mika Follensbee Email & Phone Number

Boston, Massachusetts, United States

• Used client data to complete loss analysis using catastrophe models• Data analyzed included auto and property insurance policies, also used for CAT bond issuance• Worked directly with clients during major natural disasters• Use of SQL, Excel as part of data quality control, pre/postprocessing• Gained an understanding of EP Curves, Average Annual Loss, etc.

Lebanon, New Hampshire, United States

Lowell, Massachusetts

Researching "Tropospheric Interactions of Stratospheric Warming Events"- Comparison of vertical heat flux and pressure height data by time- Comparing lists of active days against each other- Creating horizontal and vertical maps for individual active days, composites of active days- Use of Python and Excel Spreadsheet to organize and make charts and visual images of data- Presentation of results and findings at 2020 AMS Conference

Lowell, Massachsetts

TA for two classes:- Intro to Environmental Science- Intro to Meteorology For both classes, I assumed the roles of:- teaching 3 lab groups- grading lab assignments- keeping track of lab grades via Excel spreadsheet- providing office hours for students- on site for exams

Hanover, Nh

Worked during summers in between college semesters- Worked indoors and outside interchangeably- Committed to multiple physical tasks- Course Ranger on active days and weekly leagues- Learned how to develop positive relationships with customers/clients- Assisted with deciding to and executing course evacuations in extreme weather events

South Burlington, Vt

• Observed and experimented with the AWIPS modeling system and CAVE tools• Completed daily radar checks and weekly emergency radio broadcast checks • Called daily to update Lake Champlain level and temperature• Published daily social media posts on NWS Burlington’s Facebook and Twitter pages• Edited data used to produce and published daily climate maps and recreational forecasts• Noted and published severe weather observations during storm activity• Completed long-term project regarding the correcting of the KTXX radar’s dry snow coefficient erroro Decided which weather stations would be best to use to compare with radar’s estimation o Gathered and filtered out useable hourly precipitation data from the gauges o Compared gauge data with radar estimation (eliminating high wind data)o Used multiple forms of comparison to get a final coefficient adjustment value

Master Of Science - Ms, Atmospheric Sciences And Meteorology

Bachelor Of Science - Bs, Atmospheric Sciences And Meteorology, Overall Gpa: 3.43

Activities and Societies: Member of the Cornell Chapter of AMS; Voting Member of Kommittee in Risley Residential College; Co-founded.