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

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Hourly Rate: $60

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!


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.
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.
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.
French
Geography
Geometry
Government & Politics
Prealgebra
Probability
Python
SAT Math
SQL
Trigonometry
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Hourly Rate: $60
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