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Math & Data Analytics Tutor | Calc, Stats, Excel, SQL (Step-by-Step)
Benjamin H.

5.0 (4 ratings)

15 hours tutoring

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Hourly Rate: $50
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About Benjamin

Bio

Hi! I have a Master’s degree in Business Analytics and a strong background in mathematics, statistics, and problem-solving. I earned my undergraduate degree in Industrial and Systems Engineering from The Ohio State University, where I was accepted into the Honors Engineering program. My academic experience includes strong performance in math-focused coursework, including a 5 on AP Calculus AB and a 166 (80th percentile) score on the quantitative section of the GRE. These experiences have...

Hi! I have a Master’s degree in Business Analytics and a strong background in mathematics, statistics, and problem-solving. I earned my undergraduate degree in Industrial and Systems Engineering from The Ohio State University, where I was accepted into the Honors Engineering program. My academic experience includes strong performance in math-focused coursework, including a 5 on AP Calculus AB and a 166 (80th percentile) score on the quantitative section of the GRE. These experiences have given me a solid foundation in algebra, calculus, and statistics, as well as how these concepts apply to real-world problems.

In my professional work, I regularly analyze data, build models, and help others understand complex concepts. A big part of my role involves explaining technical ideas in a clear and practical way, which translates directly into my tutoring style. I focus on breaking down difficult material into manageable steps and helping students understand not just how to solve problems, but why the process works. I also have experience working with tools like Excel, SQL, and Python, which is especially helpful for students in statistics or data analysis-based coursework.

I primarily tutor middle school, high school, and college students in subjects such as prealgebra, algebra, precalculus, calculus, and statistics, as well as data analysis and Excel-based coursework. My approach is patient, structured, and tailored to each student’s needs. I work with students to identify where confusion begins, reinforce key concepts, and guide them step-by-step through problems until they can solve them independently. Whether you’re preparing for an exam, working on a project, or feeling stuck on a topic, my goal is to help you build confidence and develop skills that carry forward beyond a single assignment.

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Education

Ohio State University
Industrial Engineer
University of Cincinnati
Masters

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Approved Subjects

ACT Math

ACT Math

I have a strong quantitative background through my graduate degree in Business Analytics and my professional work as a data scientist. Much of the ACT Math section relies on algebra, functions, and logical problem-solving skills that are foundational to statistics and data analysis. I help students approach ACT-style problems methodically and learn efficient strategies for working through questions under time pressure. My goal is to build both confidence and problem-solving skills so students can perform their best on test day.
Algebra 1

Algebra 1

I have a strong background in mathematics through my graduate work in Business Analytics and my professional work as a data scientist. Algebra is foundational to statistics, modeling, and many quantitative methods I use regularly. I enjoy helping students break down problems step-by-step and understand the reasoning behind the formulas, not just memorize procedures. My goal is to help students build confidence in algebra and develop the problem-solving skills needed for exams like the ACT and SAT.
Algebra 2

Algebra 2

I have a strong quantitative background through my graduate degree in Business Analytics and my professional work as a data scientist. Algebra II concepts such as functions, exponentials, logarithms, and systems of equations are foundational to statistics and data analysis. I help students understand the reasoning behind algebraic methods and work through problems step-by-step rather than relying on memorization alone. My goal is to help students build confidence in Algebra II and strengthen the problem-solving skills needed for exams and future math courses.
Calculus

Calculus

I have a strong foundation in calculus through my background in Business Analytics and my professional work as a data scientist, where I regularly apply concepts such as derivatives, optimization, and modeling. I am comfortable helping students core topics including limits, derivatives, integrals, and their real-world applications. I focus on breaking down complex problems into clear, step-by-step processes so students build both understanding and confidence. My goal is to help students not only solve problems correctly, but also understand the reasoning behind each step so they can apply the concepts independently.
Data Analysis

Data Analysis

I have a graduate degree in Business Analytics and currently work as a data science analyst, where I focus on analyzing datasets to uncover patterns, evaluate performance, and support data-driven decision-making. My work involves cleaning and preparing complex data, performing exploratory data analysis, and applying statistical methods to interpret results and answer practical business questions. In my professional experience, I work with healthcare and operational data to analyze key outcomes such as rates of hospital-acquired conditions, including acute kidney injury (AKI), pressure injuries, surgical site infections, and patient falls. I also analyze race and ethnicity data across children’s hospitals in the United States to identify disparities and better understand variation in outcomes across populations. This work requires careful attention to data quality, consistency, and interpretation to ensure insights are both accurate and meaningful. I regularly use tools such as Python, SQL, Excel, Tableau, and Power BI to move from raw data to structured analysis and clear conclusions. I place a strong emphasis on validating data accuracy, identifying anomalies, and ensuring results make sense in real-world contexts before they are used to inform decisions. I help students build a strong foundation in data analysis by focusing on how to think through problems, not just how to use tools. This includes developing skills in data cleaning, interpreting results, understanding variability, and communicating insights effectively. I work with students on coursework, projects, and real-world datasets, guiding them step-by-step so they can confidently approach analytical problems and clearly explain their findings.
Data Science

Data Science

I have a graduate degree in Business Analytics and currently work as a data science analyst, where I build and analyze data pipelines, develop models, and create dashboards to support real-world decision-making. My experience includes working with Python (pandas, NumPy, scikit-learn), SQL, and Tableau, as well as applying statistical analysis, A/B testing, and machine learning techniques to solve complex problems. I help students understand core data science concepts such as data cleaning, exploratory data analysis, feature engineering, and model evaluation, and I guide them through practical applications using real datasets. I also support students with coursework, projects, and interview preparation by breaking down complex topics into clear, step-by-step explanations. My approach focuses on building both conceptual understanding and hands-on skills so students can confidently apply data science techniques in academic or professional settings.
Differential Equations

Differential Equations

I have a strong background in differential equations through my Industrial & Systems Engineering degree and continued application in graduate-level analytics work. I regularly apply concepts such as linear differential equations, Laplace transforms, and series solutions in problem-solving and tutoring settings. My approach focuses on breaking down complex problems into clear, step-by-step methods so students can understand both the “how” and the “why.” I’ve helped students build confidence in solving differential equations by reinforcing fundamentals and practicing real exam-style problems.
GRE

GRE

I scored a 166 on the GRE Quantitative section and have a strong background in mathematics through my graduate work in Business Analytics and my professional experience as a data scientist. I focus specifically on helping students improve their performance on the quantitative portion of the GRE. My approach emphasizes mastering core concepts, recognizing common question types, and improving both accuracy and pacing under timed conditions. I work with students to build confidence, reduce mistakes, and develop efficient strategies to maximize their GRE Quant score.
Linear Algebra

Linear Algebra

I have a strong foundation in linear algebra through my degree in Industrial & Systems Engineering and my graduate studies in Business Analytics. My work in data science regularly involves applying linear algebra concepts such as vectors, matrices, and transformations in real-world analytical problems. I focus on helping students understand both the intuition and application behind the material, rather than just memorizing formulas. I’ve also worked with students on problem-solving and exam preparation, ensuring they build confidence and clarity in the subject.
Machine Learning/ AI

Machine Learning/ AI

I have hands-on experience building and analyzing machine learning models using Python, including classification, regression, and model evaluation techniques. Through my Master’s in Business Analytics and professional data science work, I’ve applied concepts like feature engineering, model selection, and performance metrics in real-world settings. I focus on helping students understand both the theory and practical implementation, using tools like Python, SQL, and common ML libraries. My approach is structured and intuitive, breaking down complex topics into clear steps so students can confidently apply machine learning concepts to coursework and projects.
Microsoft Excel

Microsoft Excel

I am a Data Analyst with a Master’s degree in Business Analytics and a background in Industrial & Systems Engineering. I use Excel daily for data analysis, including building dashboards, pivot tables, and advanced formulas such as VLOOKUP, INDEX/MATCH, and IF statements. I also have experience cleaning and transforming data, performing statistical analysis, and communicating insights to non-technical stakeholders. My approach focuses on helping students understand both the “how” and the “why” behind Excel concepts so they can apply them confidently.
Physics

Physics

I have a strong foundation in math and problem-solving, which I apply to helping students understand core physics concepts such as kinematics, forces, energy, and basic electricity. My background in Business Analytics and experience with calculus and algebra allows me to break down physics problems into clear, step-by-step solutions. I focus on helping students build intuition while also improving their ability to solve quantitative problems efficiently. I support students with coursework, homework, and exam preparation by simplifying concepts and reinforcing problem-solving strategies.
Prealgebra

Prealgebra

I have a strong quantitative background through my graduate degree in Business Analytics and my professional work as a data scientist. Prealgebra focuses on foundational skills such as arithmetic, fractions, basic equations, and logical problem solving that support all future math courses. I enjoy helping students break problems into simple steps and develop a clear understanding of the concepts rather than memorizing procedures. My goal is to build confidence in math and create a strong foundation for success in Algebra and beyond.
Precalculus

Precalculus

I have a strong quantitative background through my graduate degree in Business Analytics and my professional work as a data scientist. Precalculus topics such as functions, trigonometry, logarithms, and exponential models are closely related to concepts used in statistics and quantitative modeling. I help students understand how these ideas connect and guide them through problems step-by-step so they can approach complex questions with confidence. My goal is to prepare students for success in precalculus, calculus, and standardized exams.
Python

Python

I use Python extensively in my professional work as a data science analyst, where I build data pipelines, perform analysis, and develop machine learning models using libraries such as pandas, NumPy, and scikit-learn. I have experience working across the full analytics workflow, including data cleaning, transformation, visualization, and modeling. I help students learn Python from the ground up or improve their existing skills, whether they are working on coursework, projects, or interview preparation. My teaching focuses on writing clean, efficient code and understanding how to apply Python to real-world problems. I tailor sessions to each student’s goals, whether that’s learning fundamentals, working through assignments, or building projects in data analysis or data science.
R

R

I have experience using R in academic settings for statistical analysis, data visualization, and modeling. My coursework included applying R to tasks such as data manipulation, hypothesis testing, and regression analysis. I help students understand both the programming and statistical concepts behind their assignments, whether they are taking a statistics course or working on a project. My approach focuses on breaking down problems into clear, step-by-step solutions so students can build confidence and understanding. I tailor sessions to each student’s needs, whether they are learning the basics or working through more advanced topics.
SAT Math

SAT Math

I specialize in helping students build strong foundations in algebra, functions, and problem-solving skills needed for the SAT Math section. My approach focuses on breaking down complex problems into simple, repeatable steps so students can improve both accuracy and speed. I emphasize understanding patterns and strategies commonly tested on the SAT, rather than memorization. With a background in analytics and structured problem-solving, I aim to help students gain confidence and achieve measurable score improvements.
Spanish

Spanish

I have completed Spanish coursework through the AP level and have experience with both structured grammar and conversational Spanish. I scored a 3 on the AP Spanish exam and have continued practicing through independent study, including Duolingo at a high B2 level. I am comfortable helping students with foundational and intermediate topics such as grammar, vocabulary, reading comprehension, and basic conversation. I focus on building confidence and reinforcing key concepts in a clear, structured way.
SQL

SQL

I’m a Data Science Analyst with hands-on experience using SQL to extract, join, and analyze large datasets in real-world business environments. I’ve worked across healthcare and manufacturing analytics, building queries, dashboards, and data workflows that drive decision-making. I specialize in helping students understand SQL from the ground up, including joins, aggregations, and query logic, while also applying it to practical scenarios. My teaching style focuses on clear explanations, real examples, and building confidence so students can solve problems independently.
Statistics

Statistics

I have a strong foundation in statistics through my graduate degree in Business Analytics and my professional experience as a data science analyst. I regularly apply statistical concepts such as hypothesis testing, regression, and data interpretation in real-world healthcare analytics. I focus on helping students understand both the intuition and practical application behind statistical methods, rather than just memorizing formulas. I’ve also worked with students on problem-solving and exam preparation, helping them build confidence and clarity in the material.
Tableau

Tableau

I have over four years of experience using Tableau in both academic and professional settings to analyze data and build interactive dashboards. I also completed the Data Visualization with Tableau certification from the University of California, Davis (Coursera), where my final project focused on analyzing housing prices in Los Angeles. In that project, I explored multiple variables and found that proximity to highways was one of the strongest drivers of housing prices, which highlighted the importance of using data visualization to uncover non-obvious insights. In my professional consulting experience, I used Tableau to support analysis of manufacturing data for Procter & Gamble’s Baby Care production lines. I built and reviewed dashboards that tracked key metrics and worked closely with stakeholders, including the Director of Baby Care, to ensure the dashboards were both accurate and meaningful. This included validating that the data made sense in real-world contexts, such as ensuring production values were logical and consistent. I help students learn Tableau from the ground up, including creating visualizations, building dashboards, using filters, and developing calculated fields. I also emphasize best practices in data visualization and teach students how to use Tableau to clearly communicate insights, whether for coursework, projects, or professional use.
Trigonometry

Trigonometry

I specialize in tutoring trigonometry, including identities, unit circle concepts, angle transformations, and problem-solving strategies. I focus on breaking down complex concepts into simple, step-by-step explanations that help students build confidence and accuracy. My background in data analytics and mathematics allows me to approach problems logically while ensuring students understand the “why” behind each step. I tailor each session to the student’s needs, whether they are preparing for exams, quizzes, or strengthening foundational skills.
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Hourly Rate: $50
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