Years of actuarial work gave David a very specific relationship with data — pulling numbers from structured tables, filtering by policy criteria, and aggregating results to build pricing models. That professional fluency translates directly into teaching SQL concepts like JOINs, WHERE clauses, and GROUP BY logic, since he's used them to answer real business questions rather than just textbook exercises. Holds a 5.0 rating.

At the National Institutes of Health, working with research data meant writing real SQL queries — JOINs across relational tables, subqueries for filtering complex datasets, and aggregation functions that turn raw records into usable results. Snipta brings that hands-on database experience directly into lessons, teaching students to think about query optimization and schema design alongside syntax.

Studying both computer science and mathematics at Yale means Anmolpreet encounters SQL in two contexts — as a programming tool for building applications and as a way to reason about structured data mathematically. That dual perspective lets her teach query logic, table relationships, and aggregation not just as syntax to memorize but as an extension of the set-based thinking students may already know from math. Rated 4.9 by students.

Knowing SELECT statements is one thing; writing efficient queries that join five tables without grinding a database to a halt is another. Courage teaches SQL from schema design and normalization through complex subqueries, window functions, and indexing strategies — drawing on his relational database and data science background. Students leave sessions able to pull exactly the data they need and explain why their query works.

Querying a database well means thinking in sets, not loops — a mental shift that trips up a lot of CS students encountering SQL for the first time. Henry's computer science background at Carleton gives him a solid handle on JOINs, subqueries, aggregation, and normalization, and he connects each concept back to the kind of real data problems students will actually encounter.

JOINs, subqueries, and GROUP BY clauses start making sense once a student can visualize what the database is actually doing with their query. Brandon has professional experience working with relational databases and teaches SQL by walking through how the engine processes each clause step by step, turning confusing multi-table queries into logical sequences.

As a teaching assistant for Duke's Intro to Databases course, Florence spent semesters walking students through query design — JOINs, subqueries, aggregation, and normalization. That hands-on classroom experience means she knows exactly where beginners stumble with SQL syntax and can break down complex multi-table queries into logical steps. Rated 5.0 by students.

Between building projects in Java, Python, and JavaScript, Joshua picked up SQL as the connective tissue — the language that actually gets data in and out of the applications he writes. His CS coursework at Penn State covered relational database fundamentals like normalization and schema design, so he teaches query logic (JOINs, filtering, aggregation) with an understanding of why tables are structured the way they are, not just how to pull from them.

Writing a SELECT statement is easy; writing an efficient query that joins five tables without duplicating rows is where SQL gets real. Rishik digs into JOINs, subqueries, GROUP BY logic, and indexing strategies, often using sample datasets so students can see exactly how each clause reshapes the result set.

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!

Computer engineering at the undergraduate level means Sasha spent semesters working with relational databases — designing schemas, writing queries, and understanding how data moves between application layers. That hands-on foundation lets her teach SQL concepts like JOINs, filtering logic, and aggregation as practical tools rather than abstract syntax exercises. Rated 4.9 by students.

I am a recent graduate with a master's in electrical engineering from Case Western Reserve University. I won the Bill and Melinda Gates Millennium Scholarship which covers full tuition up to Ph.D. I was on the Dean's List for three consecutive years. Additionally, I won the OZY Media Genius Award in 2015 to work on high-temperature superconductors. I currently work as a Technology Analyst at Accenture. I am also seriously considering whether I should go for a Ph.D. or not.