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Princeton Economics Grad | SQL, Python & Machine Learning Tutor
Gregory A.

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Hourly Rate: $45
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About Gregory

Bio

I'm a Princeton Economics graduate who has spent about the last half year working professionally as a data and AI engineer, and I tutor because I enjoy the moment when a technical concept clicks for someone. My academic background includes a senior thesis built on a US Census dataset of over 14 million records, which gave me deep experience with statistics, data cleaning, and applied econometrics well beyond what a typical course covers. Professionally, I worked as a Data and AI Engineering...

I'm a Princeton Economics graduate who has spent about the last half year working professionally as a data and AI engineer, and I tutor because I enjoy the moment when a technical concept clicks for someone. My academic background includes a senior thesis built on a US Census dataset of over 14 million records, which gave me deep experience with statistics, data cleaning, and applied econometrics well beyond what a typical course covers. Professionally, I worked as a Data and AI Engineering Consultant, building machine learning pipelines, evaluation systems, and data infrastructure for clients, which means I teach SQL, Python, and machine learning the way they're actually used in industry.

My teaching experience spans a few different settings. I served as a course assistant for a data visualization program at Princeton aimed at incoming pre-freshman students, ages 17 to 18, over a three to four month term. In that role I helped students build a foundation in introductory statistics, programming, and data visualization, and worked with them on real-world applications like critically evaluating headlines and claims using data. During my own undergraduate years, I regularly helped classmates work through econometrics, corporate finance, and quantitative math coursework like multivariable calculus in one-on-one and small group settings. More recently, at my most recent job, I spent time teaching coworkers SQL and Python from the ground up so they could contribute to our data workflows independently.

My approach to tutoring is to meet students where they are and build understanding step by step rather than rushing to the answer. I like to connect abstract concepts to real-world examples, whether that means walking through an actual SQL query against messy data or breaking down how a machine learning model makes a prediction. I'm patient with beginners and equally comfortable helping more advanced students refine their skills for internships, coursework, or career transitions into data and AI roles.

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Education

Princeton University
Economics

Policies

  • Hourly Rate: $45
  • Rate details: Book 3+ hours and save 10%. Ongoing weekly students get priority scheduling. Group sessions (2-3 students) available at a discounted per-person rate — message me for details.
  • Lesson cancellation: 24 hours notice required

  • No background check

  • Your first lesson is backed by our Good Fit Guarantee

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Approved Subjects

Data Analysis

Data Analysis

I worked professionally as a Data and AI Engineering Consultant, regularly analyzing and interpreting data to support real client decisions, not just running numbers for their own sake. I also apply these skills to my own independent projects, such as testing whether income levels affect consumer spending patterns using public economic data, and examining how AI adoption tracks with employment trends using Census and labor data, which keeps me practiced at framing questions, choosing the right approach, and drawing sound conclusions from real, messy datasets. My background is in Economics from Princeton, which gave me a strong foundation in statistical reasoning and how to think critically about what data actually shows versus what it seems to show. I focus on teaching data analysis as a way of thinking, helping students learn how to explore data, spot patterns, and communicate findings clearly, rather than just teaching software or formulas in isolation.
Data Science

Data Science

I worked professionally as a Data and AI Engineering Consultant, applying the full data science workflow, from cleaning and exploring data to building models and evaluating results, to real client problems. I also apply these skills to my own independent projects, such as building statistical models to test how income affects consumer spending patterns using public economic data, and analyzing how AI adoption tracks with employment trends using Census and labor data, which means I regularly work through the same messy, real-world challenges I'll help students tackle. My background is in Economics from Princeton, so I bring a strong statistical and analytical foundation alongside hands-on technical skill, which is especially useful for students trying to connect data science techniques to real questions rather than just running code. I focus on teaching the full thought process behind data science, not just tools, so students learn how to ask the right questions, choose the right methods, and interpret results critically.
Machine Learning/ AI

Machine Learning/ AI

I worked professionally as a Data and AI Engineering Consultant, building and evaluating machine learning and LLM-based systems, including RAG pipelines, model evaluation frameworks, and production ML infrastructure using tools like Azure ML, Docker, and MLflow. This means I teach machine learning as it's actually practiced in industry today, not just classical textbook algorithms, but also how modern AI systems like large language models are built, evaluated, and deployed. I also apply these skills to my own independent projects, such as building statistical models to test how income affects consumer spending patterns using public economic data, and analyzing how AI adoption tracks with employment trends using Census and labor data, which keeps my modeling and evaluation skills sharp on real, messy, real-world datasets. I've taught technical concepts to both classmates and coworkers before, so I focus on breaking down what can be an intimidating field into clear, intuitive building blocks for beginners while still being able to go deep with more advanced students.
Python

Python

I worked professionally as a Data and AI Engineering Consultant, writing Python daily to build machine learning pipelines, data processing workflows, and LLM evaluation systems for clients. My Princeton senior thesis relied on Python to build a custom analysis pipeline for a dataset of over 14 million records, giving me real experience with pandas, data cleaning, and handling messy, large-scale data rather than clean classroom examples. I've also taught coworkers Python from scratch on the job, so I have direct experience explaining core concepts like data structures, functions, and libraries such as pandas and NumPy in a way that actually sticks for beginners. My focus is on practical, job-ready Python: writing code that solves real problems, not just passing a course.
SQL

SQL

I worked professionally as a Data and AI Engineering Consultant, writing SQL daily to query, clean, and transform data for production machine learning pipelines and client-facing analytics. On the job, I taught several coworkers SQL from the ground up so they could independently query and work with our data systems, which means I already have practice explaining SQL in a way that clicks for beginners. I focus on teaching SQL the way it's actually used in industry: writing queries against messy, real-world data rather than clean toy datasets.
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Hourly Rate: $45
Contact Gregory