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Real-World Data Scientist Tutoring Math, Stats & Physics
Maxim L.

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About Maxim

Bio

I'm a data scientist and analytics leader with a B.S. in Civil & Environmental Engineering from UC Berkeley (where I graduated as a Regents & Chancellor's Scholar and a member of the Chi Epsilon honor society) with over 12 years applying math and statistics professionally.

What sets me apart as a tutor is that I've used this math throughout my career. Statistics, algebra, calculus, and physics aren't just subjects I studied — they're tools I've consistently relied on to solve real...

I'm a data scientist and analytics leader with a B.S. in Civil & Environmental Engineering from UC Berkeley (where I graduated as a Regents & Chancellor's Scholar and a member of the Chi Epsilon honor society) with over 12 years applying math and statistics professionally.

What sets me apart as a tutor is that I've used this math throughout my career. Statistics, algebra, calculus, and physics aren't just subjects I studied — they're tools I've consistently relied on to solve real problems. So when a student asks "when will I ever use this?", I can give a genuine, specific answer.

For the past six years, teaching and mentoring has been a core part of my job, though in a professional rather than classroom setting (coaching adult colleagues rather than school-age students). I've coached colleagues with no math background in a one-on-one setting through complex quantitative concepts, and I've led large group training sessions (15+ people) translating technical concepts for non-technical audiences. I've also built structured development plans for underperforming team members, and mentored graduate-level interns through a university partnership with the USF Master's in Data Science program. My approach: meet someone exactly where they are, then build patiently from there.

My tutoring focuses are math (algebra through calculus, linear algebra, differential equations), statistics (probability/data analysis), and physics (mechanics, electricity and magnetism, waves, thermodynamics, optics, modern physics) — subjects I studied extensively at Berkeley (GPA: 3.6 overall, 3.8 in major) and have used throughout my career. I listen closely to where a student is stuck, find the right entry point, and stay patient until the concept truly clicks — not just for the test, but for real!

Please feel free to contact me with any additional questions about me, my background, my approach, or to schedule a lesson!

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Education

UC Berkeley
Civil Engineering

Additional Languages

French

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Approved Subjects

Algebra 1

Algebra 1

I hold a B.S. in Civil & Environmental Engineering from UC Berkeley, where strong algebra skills were foundational to coursework in structural analysis, statics, and engineering design. In fact, I've been using algebra daily since middle school (over 20 years) — and for the past 10+ years professionally as a data scientist, I've applied algebraic reasoning to build predictive models, pricing algorithms, and statistical analyses. I've also personally coached colleagues with no technical background through complex quantitative concepts. I enjoy breaking down abstract algebraic concepts into clear, intuitive steps tailored to how each student learns best.
Algebra 2

Algebra 2

I hold a B.S. in Civil & Environmental Engineering from UC Berkeley, where strong algebra skills were foundational to coursework in structural analysis, statics, and engineering design. In fact, I've been using algebra daily since middle school (over 20 years) — and for the past 10+ years professionally as a data scientist, I've applied algebraic reasoning to build predictive models, pricing algorithms, and statistical analyses. I've also personally coached colleagues with no technical background through complex quantitative concepts. I enjoy breaking down abstract algebraic concepts into clear, intuitive steps tailored to how each student learns best.
Calculus

Calculus

I earned my B.S. in Civil & Environmental Engineering from UC Berkeley, completing the full calculus sequence through multivariable calculus and differential equations as core requirements. In fact, I've been using calculus and calculus-based concepts since high school — and for the past 10+ years as a data scientist, I've applied them professionally to build forecasting models, predictive models, growth curves, pricing algorithms, and statistical analyses for products used by millions of people. I've also personally coached colleagues with no technical background through complex quantitative concepts. I enjoy helping students see calculus not as an abstract exercise, but as a tool that's directly applicable to real engineering and data problems.
French

French

Native French speaker, raised bilingual in the US with a French father. Completed primary and secondary education (PK through high school) at a French-immersion school, and hold French citizenship. While I'm newer to French tutoring, I bring professional coaching experience: I've mentored colleagues from beginner to advanced skill levels in technical subjects, and enjoy translating complex material into accessible, engaging lessons.
Geometry

Geometry

I hold a B.S. in Civil & Environmental Engineering from UC Berkeley, where geometry was foundational to coursework in physics, structural analysis, and mechanics. That engineering training gave me a strong intuitive grasp of geometric properties and problem-solving techniques. Separately, in my career as a data scientist, I've spent six years coaching people through technical material, from one-on-one mentoring to group training sessions, so I know how to break down abstract concepts into something concrete. My goal with geometry students is to build real visual and logical intuition, not just memorize formulas for a test.
Physics

Physics

I hold a B.S. in Civil & Environmental Engineering from UC Berkeley, where physics wasn't just a prerequisite, it was the foundation of the entire major. My coursework covered the standard engineering physics sequence: mechanics, electricity and magnetism, waves, thermodynamics, and optics. I've also personally coached colleagues with no technical background through complex quantitative concepts. I enjoy showing students that physics isn't abstract — it's the reason bridges stand and circuits work — and I tailor explanations to whatever framing makes the concept click for that particular student.
Precalculus

Precalculus

I hold a B.S. in Civil & Environmental Engineering from UC Berkeley, where a solid foundation in precalculus — functions, trigonometry, exponentials, and logarithms — was essential before advancing into the engineering calculus sequence. In fact, I've been using these concepts since high school, and for the past 10+ years as a data scientist, I've relied on that same foundation constantly: exponential growth models, logarithmic transformations, and trig functions show up regularly in forecasting, pricing algorithms, and statistical modeling. I've also personally coached colleagues with no technical background through complex quantitative concepts. I like helping students build real fluency with functions and their behavior, since that fluency is what makes calculus feel intuitive rather than intimidating later on.
Probability

Probability

As a data scientist, I've applied probability theory daily for over a decade, from building a multi-armed bandit algorithm that optimized marketing spend to designing causal inference and forecasting models. My work has required a deep practical understanding of probability distributions, conditional probability, and statistical inference, translated into real business decisions. I also hold a B.S. in Civil & Environmental Engineering from UC Berkeley, where probability and statistics coursework was part of the curriculum. I enjoy breaking abstract probability concepts down into intuitive, concrete examples for students.
Python

Python

I spent over a decade using Python to build production machine learning systems, from churn prediction and pricing optimization models to a contextual multi-armed bandit algorithm that cut advertising spend by 40% while increasing profit. Most recently, as Director of Data Science at Pocket Gems, I used Python daily for everything from forecasting models to LLM-based classifiers processing over 100,000 user stories. Beyond building models myself, I personally coached a non-technical colleague from Python beginner to advanced practitioner over 12 months, so I'm comfortable teaching the fundamentals as well as the advanced material. Whether you're just starting with variables and loops or working on data science projects, I can meet you where you are.
SAT Math

SAT Math

I'm a UC Berkeley-educated data scientist with 13+ years of professional experience applying advanced math daily (statistics, calculus, and quantitative modeling) in data science roles. My engineering degree required a strong foundation across algebra through calculus, which lines up closely with the math tested on the SAT. I focus on building genuine problem-solving confidence rather than just memorizing tricks, so students walk away with skills that carry over to their coursework too.
SQL

SQL

I've used SQL daily throughout my 10+ year data science career, from my early analyst days at Sungevity through leading the Data Science team at Pocket Gems. I've written and optimized queries to build pricing models, retention analyses, and executive reporting pipelines, working directly in cloud data warehouses. I've also mentored analysts and data scientists in SQL, helping them go from basic queries to writing efficient, production-level code. Whether you need help with a simple SELECT statement or a complex analysis, I can help you build practical, confident SQL skills.
Statistics

Statistics

I hold a B.S. in Civil & Environmental Engineering from UC Berkeley, and — as a Data Scientist — statistics is the branch of math I've used most heavily over my 10+ year career. I've routinely relied on concepts such as hypothesis testing, probability, regression, and experimental design methods like A/B testing and multi-armed bandits to inform major business decisions. I'm comfortable teaching at the level tested in AP Statistics, including descriptive statistics, probability distributions, sampling methods, and inferential techniques like confidence intervals and hypothesis tests. I enjoy connecting these concepts to real, intuitive examples so students build genuine understanding rather than memorizing formulas.
Trigonometry

Trigonometry

As someone with a B.S. in Civil & Environmental Engineering from UC Berkeley, I built a rigorous foundation in trigonometry through coursework in structural analysis and mechanics, where trig functions and identities were essential daily tools. Over six years of mentoring technical teams, I've developed a knack for breaking abstract math concepts into clear, intuitive steps. I focus on connecting trig concepts to visual and real-world applications so they click rather than feel like memorization. Whether you're working through the unit circle, identities, or word problems, I'll tailor examples to how you think best.
Geography
Government & Politics
Prealgebra
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Hourly Rate: $60
Response time: 8 hours
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