Before switching to teaching, Dillon used Excel daily in engineering — building calculation spreadsheets, organizing project data, and running what-if scenarios with formulas and conditional formatting. He covers everything from VLOOKUP and pivot tables to cell referencing logic that trips up most beginners. Students learn to think about spreadsheets as problem-solving tools, not just places to store numbers.

Engineering coursework and biomedical research gave Sparsh daily practice in Excel — from organizing large datasets and writing nested formulas to building pivot tables and generating publication-ready charts. He walks through each function in the context of a real task so students learn not just the syntax but when and why to use it.

Spreadsheets become genuinely powerful once you move past basic formulas into VLOOKUP, pivot tables, conditional formatting, and data visualization. Florence's computer science background at Duke means she thinks algorithmically about data problems, which translates directly into teaching students how to structure, clean, and analyze information efficiently in Excel.

Elliot learned Excel the way most researchers do — out of necessity, building complex data models, pivot tables, and conditional formulas to analyze neuroscience datasets. That means he teaches the tool the way it's actually used: not as a list of menu options but as a way to organize messy information, automate calculations, and visualize patterns quickly.

Reed's economics degree from Carleton College meant constant spreadsheet work — building econometric models, running regressions on datasets, and formatting results for presentation. He teaches Excel by connecting functions like INDEX-MATCH, data validation, and chart building to the kind of analytical tasks students encounter in econ, finance, and business courses.

Public health research runs on spreadsheets — Joseph uses Excel daily for data cleaning, pivot tables, and statistical analysis as part of his master's work at Yale. He walks students through everything from basic formulas and conditional formatting to VLOOKUP and chart building, grounding each skill in practical tasks rather than abstract exercises.

Mica's Science, Technology, and Society degree at Stanford meant constant data wrangling — organizing research datasets, running analyses, and presenting findings in structured formats. She brings that academic rigor to Excel sessions, tackling everything from formula logic and data cleanup to building spreadsheets that actually answer a research question. Rated 5.0 by students.

Most people learn Excel by Googling one formula at a time, but Alex teaches it as a system — starting with cell referencing and naming conventions, then building up to VLOOKUP, conditional formatting, and pivot tables. His applied mathematics training at Stanford means he thinks naturally in terms of data organization and logical functions. He's a strong fit for students who need Excel for coursework, internships, or just making sense of large datasets.

Engineering coursework at Duke means Eric lives in spreadsheets — building data models, running regression analyses, and automating repetitive calculations with formulas like VLOOKUP, INDEX-MATCH, and conditional arrays. He teaches Excel as a problem-solving tool rather than a grid of cells, walking students through pivot tables, data visualization, and the logic behind nested functions.

Engineering research generates enormous datasets, and Jared's PhD work at Lehigh means he lives in Excel — building formulas, using VLOOKUP and pivot tables to organize experimental data, and creating charts that communicate results clearly. He teaches students and professionals to move past basic spreadsheet use into the functions and formatting that make Excel genuinely powerful.

Saniya's neuroscience research background required extensive data organization in Excel — building spreadsheets for lab datasets, using formulas like VLOOKUP and conditional formatting, and creating charts to visualize experimental results. She teaches students to move beyond basic cell entry into the functions and formatting tools that make Excel genuinely useful for school and work projects.

Engineering coursework generates enormous datasets, and Caroline learned to wrangle them in Excel — building formulas with nested IF statements, creating pivot tables for analysis, and using VLOOKUP to pull data across sheets. She teaches Excel as a practical tool rather than a list of menu options, connecting each function to a real task like budgeting, data cleaning, or project tracking.