Award-Winning AP Statistics Tutors
serving Montgomery, AL

I am an aerospace engineering student. I am very passionate about teaching math, physics, and chemistry. I realized tutoring was my calling while working as a tutor at my school. Seeing students gain a greater understanding of the subject was the highlight of my day while working there.

I graduated with a BA in Politics and a BA in Anthropology from NYU in 2022. I also hold a MS in Biomedical Anthropology and a Graduate Certificate in Forensic Health and Nursing from SUNY Binghamton (graduated May 2024). I have worked in education, with a previous position with America Reads/America Counts teaching elementary students in the NYC public school system. My previous virtual tutoring experience was with Curious Cardinals, where I had tutored high school students with the following: forensic science, biology (anatomy, genetics), SAT Evidence-Based Reading and Writing, ACT English and ACT Reading. I have experience working in forensic science policy at the Innocence Project, which is an organization focused on exonerating individuals who were wrongfully convicted of crime. In this role, I have written testimonials, case reports, and research articles on forensic identification methods and their legal, ethical, political, and privacy implications in casework. I have also worked in the forensic science sector as a Criminalist II at the NYC Office of Chief Medical Examiner (OCME). In this position, I assisted medical examiners (forensic pathologists) in the positive identification of deceased individuals throughout New York City. I also assisted in missing persons inquiries that were brought to the agency. Recently, I completed a research project in Vitoria de Santo Antao and Recife (both in the state of Pernambuco, in northeast Brazil) as a Fulbright Grantee. My research focused on osteology, forensic anthropology, and forensic genetics. My project involved metric analyses of bones combined with analyzing genetic information from DNA taken from bones. Currently, I am a doctoral student of Biological Sciences - Genetics at the University of Sao Paulo (USP). As a doctoral student, my dissertation project is expanding on the research I did with the Fulbright grant and is based on the central question/problem: What is the evolutionary relationship between skeletal morphology (primarily size), external pigmentation (i.e., skin, hair), and the presence of vitamin D deficiencies (which are indicated by the presence of skeletal lesions and decreased bone mineral density)? My favorite subjects in school were biology and anatomy, U.S. history, statistics, pre-algebra and algebra I, language and literature. I also partook in concert band and orchestra both in high school and in college. I am excited to share my skills and knowledge in these subjects with you, as well!

Game Theory for advanced middle schoolers at Johns Hopkins CTY required Carter to make probability, expected value, and strategic reasoning click for students years ahead of the typical curve — experience that translates directly to the combinatorics and probability units in AP Stats. His economics training at Brown also means he's comfortable with regression and inference in applied contexts, so he can ground abstract concepts like sampling variability in real decision-making scenarios rather than just calculator routines. Rated 5.0 by students.

As a statistics major at Michigan Tech, Blake lives in the material that AP Stats students are tested on — probability distributions, inference procedures, experimental design, and the logic behind hypothesis testing. He breaks down tricky concepts like Type I and Type II errors or interpreting confidence intervals in context, which are exactly the areas where AP exam free-response questions separate 4s and 5s.

Pure math training at the University of Chicago might seem like an odd fit for AP Stats, but Carson's coursework in probability theory and combinatorics gives him the formal backbone behind concepts like sampling distributions and expected value that most students only encounter as calculator procedures. He's especially sharp at demystifying the normal distribution and z-score logic, connecting them back to the mathematical reasoning that makes the formulas make sense rather than just appear on a formula sheet.

Most AP Stats students come from algebra and calculus courses where there's one right answer — so the shift to interpreting output, justifying assumptions, and writing about uncertainty in plain English catches them off guard. Matthew's dual math and computer science background at Harvard means he's comfortable on both sides of that divide: the formal probability theory underneath and the data-driven reasoning the exam actually grades you on. Rated 4.9 by students.

Most AP Stats students walk in expecting another formula-driven math class, then hit a wall when the exam asks them to explain *why* a particular sampling method could introduce bias or *what* a 95% confidence level actually means in context. Jake's 1580 SAT and 4.9 rating point to the kind of precise, structured communication skills that make the difference on those language-heavy free-response questions. He breaks down the interpretive reasoning behind inference procedures and experimental design so students learn to write answers that match the rubric's expectations, not just punch numbers into a calculator.

Chemical and biomolecular engineering at Princeton means Satya's coursework is steeped in statistical modeling — analyzing reaction yields, quantifying experimental uncertainty, and determining whether process variations are significant or just random noise. That engineering lens is especially useful for the AP Stats units on inference and experimental design, where understanding why you'd choose a particular test matters more than memorizing which calculator button to press. His 36 ACT speaks to the precision and structured reasoning the free-response section rewards.

Most AP Stats students come in expecting another math class and get blindsided when the exam asks them to write — to describe distributions in context, justify a choice of test, or explain what a confidence interval actually captures. Emerson's dual background in biology and psychology means he's read and dissected dozens of studies built on exactly this kind of statistical reasoning, from clinical trial designs to behavioral research with messy human data. Rated 5.0 by students, he teaches the interpretive vocabulary and structured argumentation that turn a halfway answer into full free-response credit.

Studying statistics at Northwestern means Jake isn't just learning the concepts AP Stats covers — he's using them daily in upper-division coursework involving real data analysis, probability models, and inference procedures. That ongoing immersion makes him sharp on the details students tend to blur, like the difference between a parameter and a statistic or why checking conditions before running a test isn't optional. Rated 5.0 by students.

Neuroscience research at Duke meant Ankit was knee-deep in experimental design before he ever opened an AP Stats textbook — controlling for confounding variables, choosing between-subjects versus within-subjects designs, and deciding whether behavioral data actually supports a hypothesis. That background makes him especially sharp on the exam's experimental design and chi-square inference questions, where understanding why you structure a study a certain way matters more than memorizing formulas. Rated 4.8 by students.

As a statistics major at Carleton College, Aya doesn't just teach AP Stats formulas — she uses them daily in her own coursework. She breaks down tricky concepts like inference for regression slopes, chi-square tests, and experimental design by connecting each one to real data scenarios that make the logic behind the math click.

Carnegie Mellon's biology program is lab-intensive, and Puja spent semesters designing experiments, collecting messy real-world data, and determining whether results were meaningful — skills that map directly onto AP Stats topics like experimental design, sampling methods, and inference reasoning. She's particularly sharp at teaching students how to translate calculator output into the precise written explanations the free-response section demands, since her science training required the same kind of defend-your-conclusion thinking. Rated 4.7 by students.

Most AP Stats students come in expecting another calculation-heavy math class, then hit a wall when the exam asks them to explain *why* they chose a particular test or *what* a confidence interval actually captures in context. Elena's Child Development background gives her sharp instincts for identifying exactly where that conceptual shift stalls out for each student, and her 1540 SAT confirms the quantitative chops to back it up. She breaks down the free-response writing demands — describing distributions, justifying inference choices — as a communication skill, not just a math skill.