I am graduated from Penn State University in Industrial Engineering in 2017. I've tutored ever since I was in high school, and I love helping people! I like to help my students understand math (and other topics) instead of just doing it blindly. My goal is to help my students improve their math (and other topics) and build skills that will help them find learning easier in the future! Fun fact, I used to work for Disney and I like to salsa dance!

Excel is one of those tools that's easy to use at a surface level but transformative once you learn what's under the hood. Seong teaches practical skills like VLOOKUP, pivot tables, conditional formatting, and data visualization — the functions that turn a messy spreadsheet into something useful. Her experience organizing research data in Northwestern's neuroscience program means she approaches Excel as a problem-solving tool, not just a grid of cells.

Most people only scratch the surface of Excel — Avram goes deeper into VLOOKUP, pivot tables, conditional formatting, and array formulas that turn messy data into something useful. His quantitative background in physics means he's comfortable building spreadsheets that handle real calculations, not just store information.

Most people use about ten percent of what Excel can do. Matthew's quantitative background in math and CS means he digs into the powerful side — pivot tables, VLOOKUP versus INDEX/MATCH, conditional formatting rules, and basic VBA automation — turning spreadsheets from data dumps into actual analytical tools.

Excel is where math, data, and real-world decision-making converge — building financial models, automating calculations with VLOOKUP and INDEX/MATCH, or visualizing trends with pivot tables. Rahi's engineering and applied math training means he thinks in formulas and structured data by default. He teaches students to build spreadsheets that are not just functional but organized enough to scale and troubleshoot.

Ingrid's biomedical engineering coursework and undergraduate research at Northwestern required heavy data organization in Excel, from lab datasets to statistical analysis. She teaches practical skills like pivot tables, VLOOKUP, conditional formatting, and building clean spreadsheets that make data easy to interpret and present.

Most people learn Excel by Googling one formula at a time, which leaves huge gaps in how they think about spreadsheets. Brian tackles Excel systematically — VLOOKUP vs. INDEX/MATCH, pivot tables, conditional formatting, and building financial models — drawing on the quantitative modeling he did throughout his Economics and CS studies at Caltech.

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.

Computational science at MIT requires wrangling large datasets, and Excel is often the first tool Tim reaches for when cleaning, sorting, and visualizing data before moving to heavier platforms. He covers formulas, pivot tables, VLOOKUP, and conditional formatting with an emphasis on building spreadsheets that are organized and repeatable. Students leave sessions with files they can actually reuse, not just notes about menu locations.

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.

I am graduated from Penn State University in Industrial Engineering in 2017. I've tutored ever since I was in high school, and I love helping people! I like to help my students understand math (and other topics) instead of just doing it blindly. My goal is to help my students improve their math (and other topics) and build skills that will help them find learning easier in the future! Fun fact, I used to work for Disney and I like to salsa dance!

Excel is one of those tools that's easy to use at a surface level but transformative once you learn what's under the hood. Seong teaches practical skills like VLOOKUP, pivot tables, conditional formatting, and data visualization — the functions that turn a messy spreadsheet into something useful. Her experience organizing research data in Northwestern's neuroscience program means she approaches Excel as a problem-solving tool, not just a grid of cells.

Most people only scratch the surface of Excel — Avram goes deeper into VLOOKUP, pivot tables, conditional formatting, and array formulas that turn messy data into something useful. His quantitative background in physics means he's comfortable building spreadsheets that handle real calculations, not just store information.

Most people use about ten percent of what Excel can do. Matthew's quantitative background in math and CS means he digs into the powerful side — pivot tables, VLOOKUP versus INDEX/MATCH, conditional formatting rules, and basic VBA automation — turning spreadsheets from data dumps into actual analytical tools.

Excel is where math, data, and real-world decision-making converge — building financial models, automating calculations with VLOOKUP and INDEX/MATCH, or visualizing trends with pivot tables. Rahi's engineering and applied math training means he thinks in formulas and structured data by default. He teaches students to build spreadsheets that are not just functional but organized enough to scale and troubleshoot.

Ingrid's biomedical engineering coursework and undergraduate research at Northwestern required heavy data organization in Excel, from lab datasets to statistical analysis. She teaches practical skills like pivot tables, VLOOKUP, conditional formatting, and building clean spreadsheets that make data easy to interpret and present.

Most people learn Excel by Googling one formula at a time, which leaves huge gaps in how they think about spreadsheets. Brian tackles Excel systematically — VLOOKUP vs. INDEX/MATCH, pivot tables, conditional formatting, and building financial models — drawing on the quantitative modeling he did throughout his Economics and CS studies at Caltech.

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.

Computational science at MIT requires wrangling large datasets, and Excel is often the first tool Tim reaches for when cleaning, sorting, and visualizing data before moving to heavier platforms. He covers formulas, pivot tables, VLOOKUP, and conditional formatting with an emphasis on building spreadsheets that are organized and repeatable. Students leave sessions with files they can actually reuse, not just notes about menu locations.

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.