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Columbia MA Statistics Student | Math & Statistics Tutor with Rea
Sai Anish N.

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Hourly Rate: $30
Response time: 18 hours

About Sai Anish


Bio

I am currently pursuing a Master of Arts in Statistics at Columbia University, and I hold a Bachelor of Science in Statistics and Data Science from Indiana University, where I graduated with a strong academic record across coursework including Applied Machine Learning, Linear Algebra, Calculus, and Nonparametric Statistics. My background is heavily quantitative, and I have spent the last several years working through the same math and statistics concepts many students find challenging, which...

I am currently pursuing a Master of Arts in Statistics at Columbia University, and I hold a Bachelor of Science in Statistics and Data Science from Indiana University, where I graduated with a strong academic record across coursework including Applied Machine Learning, Linear Algebra, Calculus, and Nonparametric Statistics. My background is heavily quantitative, and I have spent the last several years working through the same math and statistics concepts many students find challenging, which gives me a real understanding of where those concepts tend to click or get confusing.

While this would be my first formal tutoring role, I have consistent experience explaining complex, technical material to people who are not specialists in it. As a Quantitative Research Assistant, I regularly translate statistical modeling work into explanations that non-technical colleagues can understand and act on, and in a capstone research project I led during my undergraduate degree, I worked closely with a small team to break down a complex business problem into clear, structured steps, presenting our findings and reasoning to people with widely varying levels of technical background. That experience taught me that the way you explain something matters just as much as whether you understand it yourself, and I have gotten a lot of practice adjusting how I explain a concept depending on who I am talking to.

My approach to tutoring is to focus first on making sure a student actually understands the underlying idea, not just how to get the right answer on a specific problem, since that understanding is what carries over to the next test, the next class, or a completely different type of question. I am patient, I like breaking difficult problems down into smaller, more manageable pieces, and I genuinely enjoy the moment when a concept that felt confusing starts to make sense. I am looking forward to bringing that same care and clarity to helping students build real confidence in math and statistics.


Education

Indiana University
Data Science
Columbia University
Masters

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Approved Subjects

Algebra 1

Algebra 1

I hold a Bachelor of Science in Statistics and Data Science from Indiana University and am currently pursuing a Master of Arts in Statistics at Columbia University, giving me a strong, advanced foundation in the mathematical concepts that Algebra 1 builds toward. Because I work with statistics and quantitative modeling daily in my current research role, I have a clear understanding of how foundational algebra skills, like solving equations, working with variables, and understanding functions, connect to more advanced math down the line.
Data Science

Data Science

I hold a Bachelor of Science in Statistics and Data Science from Indiana University and am currently pursuing a Master of Arts in Statistics at Columbia University, giving me a strong academic foundation across statistics, machine learning, and applied mathematics. As a Quantitative Research Assistant, I build end-to-end data science pipelines using Python, PyTorch, and scikit-learn, covering the full workflow from data cleaning and feature engineering through model training, evaluation, and communicating results. I have hands-on experience with a wide range of techniques, including gradient boosting, neural networks, and large language models, and I regularly compare different modeling approaches to understand their tradeoffs rather than relying on a single method.
Elementary Math

Elementary Math

I am currently pursuing a Master of Arts in Statistics at Columbia University and hold a Bachelor of Science in Statistics and Data Science from Indiana University, giving me a strong, advanced foundation in mathematics built on the same core concepts elementary students are just beginning to learn.
Microsoft Excel

Microsoft Excel

I am currently pursuing a Master of Arts in Statistics at Columbia University and use Excel regularly in my work as a Quantitative Research Assistant, where I rely on formulas, functions like VLOOKUP and INDEX/MATCH, and structured data analysis to support research and reporting. I have experience building organized, formula-driven spreadsheets, working with pivot tables, and using Excel's data tools to clean, sort, and analyze large datasets accurately. I'm comfortable teaching everything from foundational skills like formatting and basic formulas through more advanced functions, lookups, and data analysis techniques used in real research and business settings.
Python

Python

I have hands-on experience with Python through my work as a Quantitative Research Assistant, where I build machine learning pipelines using libraries like PyTorch, scikit-learn, and pandas to model financial data. I've also used Python extensively in academic coursework and independent projects, including building neural networks, implementing statistical models from academic research papers, and working with large real-world datasets. My experience spans core Python fundamentals, including data structures, functions, and object-oriented programming, through more advanced applications in data science and machine learning.
R

R

I am currently pursuing a Master of Arts in Statistics at Columbia University, where R is a core tool in my coursework covering statistical theory, regression modeling, and nonparametric statistics. I have hands-on experience using R for data manipulation, statistical testing, and building models including linear and logistic regression, and I'm comfortable working with R's core data structures, functions like tapply and aggregate, and visualization tools like ggplot2. As a Quantitative Research Assistant, I apply statistical modeling and data analysis techniques regularly, which gives me a strong, practical understanding of how R is actually used to solve real analytical problems, not just how to run individual commands.
SAT Math

SAT Math

I am currently pursuing a Master of Arts in Statistics at Columbia University and hold a Bachelor of Science in Statistics and Data Science from Indiana University, giving me a deep, advanced foundation in the algebra, geometry, and problem-solving concepts the SAT Math section tests. Because I work with quantitative reasoning daily in my research and coursework, I have a strong sense of the underlying logic behind SAT-style problems, not just how to plug in a formula, which helps students learn to work through unfamiliar problems methodically rather than just memorizing steps.
Statistics

Statistics

I am currently pursuing a Master of Arts in Statistics at Columbia University and hold a Bachelor of Science in Statistics and Data Science from Indiana University, with coursework spanning statistical theory, linear regression, probability, and nonparametric statistics. As a Quantitative Research Assistant, I apply statistical modeling daily, including regression analysis, distributional modeling, and rigorous hypothesis testing, to real financial data, which gives me practical, hands-on experience beyond just classroom theory. I have also led a capstone research project using classification models to solve a real business problem, and I regularly translate complex statistical concepts into explanations that people without a technical background can understand and act on.
Tableau

Tableau

I am currently pursuing a Master of Arts in Statistics at Columbia University and have hands-on experience using Tableau to build dashboards and visualizations that communicate data clearly to both technical and non-technical audiences. In my research and coursework, I regularly translate complex statistical findings and model results into clear visual formats, since a well-designed dashboard often makes the difference between an analysis that gets used and one that gets ignored.

Examples of Expertise


Sai Anish has provided examples of their subject expertise by answering 1 question submitted by students on Wyzant’s Ask an Expert.

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Hourly Rate: $30
Response time: 18 hours
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