Educator · Statistician · Data Scientist
Amreeta Choudhury
I teach Mathematics, Statistics and Data Science at Monmouth University, Columbia University and New York University. My work centers on making quantitative thinking meaningful — using data to understand the world and the systems that shape it.
About
Where I work and what I work on.
A Statistician and Educator with more than a decade of experience across higher education, data science, and pharmaceutical analytics. I'm currently a full-time lecturer at Monmouth University and a lecturer in Columbia's School of Professional Studies.
Teaching
Designing courses that connect statistical thinking to real-world questions — from systemic inequality to business strategy.
Statistics & Modeling
Regression, ANOVA, design of experiments, and statistical programming across undergraduate and graduate curricula.
Data Engineering
Relational and NoSQL systems, distributed processing with Spark, and the architectures behind modern analytics.
Applied AI
IBM Applied AI certified — bringing machine learning and AI-aware thinking into the classroom and consulting work.
Mentorship
Advising honors and graduate research, judging fairs, and running weekly office hours to support student-driven projects.
Storytelling & Outreach
Marketing, podcast production, and content design — translating technical work for broader audiences.
Experience
Full-Time Lecturer
Sep 2024 — PresentMonmouth University · West Long Branch, NJ- Teaching Mathematical Modeling in the Social Sciences, Quantitative Analysis for Business, and Statistics with Applications. Designed a Statistics with Application to Systemic Inequalities & Anti-Racism course.
- Judge for the School of Science Research Fair and instructor for Math Day 2025 and 2026 sessions for visiting middle-schoolers.
- Mentored Angelo Augusto Prado (now a medical student) on his Honors project in Biology with a concentration in Molecular Cell Physiology — "Good Choices Capstone Project," serving as First Reader.
- Worked with Arseniy Safran on his Honors by Contract Research in MA-117: he mastered R to analyze a large credit dataset, completed complex matrix calculations, and used a Finance API to apply his mathematical learnings to real-world job scenarios.
Lecturer, School of Professional Studies
Jan 2017 — PresentColumbia University · New York, NY- Teaching in the Applied Analytics master's program: Modern Database Architecture, Managing Data, Strategic Business Leadership, and Fundamentals of Data Engineering. Course work spans Python, SQL, MongoDB, Neo4j, PySpark, and ML/AI applications.
- In 2016 trained graduate students for their Capstone project, which culminated in a visit to Google's NYC office to present an infographic for their Google Analytics toolkit. My student Nassib Saad was on the team that interviewed with Google; he is now a Data Scientist at USAA.
Adjunct Faculty → Lecturer
May 2019 — PresentNew York University · New York, NYTeaching Database Management & Modeling and Statistical Measurements in the Integrated Marketing master's program. Promoted from Adjunct Faculty to Lecturer in 2023.
Lecturer
Aug 2017 — Dec 2024Penn State University · Abington, PAMathematics and Social Sciences departments. Taught Supply Chain Management statistics and worked on 2 research projects through the ACURA independent-study research project (STAT 296).
Adjunct Faculty
Sep 2022 — Mar 2023The City University of New York · New York, NYTaught at the Zicklin School of Business — QNT 2020 Foundations of Predictive Analytics and Decision Modeling.
SAS & Data Science Teaching Consultant
Sep 2015 — Jan 2017Sollers Institute · Edison, NJBuilt the first Sollers Data Science Bootcamp cohorts and designed the curriculum for a State of NJ-approved Data Science master's program.
Statistical Database Marketing Analyst
Jan 2016 — Apr 2016Full Beauty Brands · New York, NY- Worked across all FULLBEAUTY BRANDS in Marketing — including King Size and Brylane Home — answering big questions from various teams to shape the Marketing plan.
- Used SAS Enterprise Guide and SAS Enterprise Miner to build linear and logistic models identifying the best predictors of sales across Active catalog, Active web, Reactive catalog, and Reactive web channels.
- Produced reports for Jessica London, Roaman's, Woman Within, and King Size using Excel and SAS Enterprise Guide on customer and catalog segmentation, working with outside companies such as Clario to verify results each season.
Account Manager
Jul 2014 — Sep 2015Mercury Systems Inc. · Princeton, NJTrained and placed engineering consultants at JPMC, Accenture, American Express, United Healthcare, Goldman Sachs, Barclays, and others.
Adjunct Professor
Sep 2013 — Jun 2014New Jersey Institute of Technology · Newark, NJDepartment of Mathematical Sciences and Statistics — taught logical reasoning, function interpretation, and data analysis with Excel, SQL, SAS, and R.
Part-Time Lecturer · Head Math & Stats Tutor
Sep 2010 — May 2013Rutgers University · New Brunswick, NJTaught Quantitative Methods (statistics for the Psychology Department) covering ANOVA, regression, and nonparametric methods. Tutored undergraduate and graduate statistics and mathematics across the university.
Education & Certifications
- M.S. Statistics & Biostatistics — Rutgers University, May 2013
- Certificate, Full-Stack Web Development — Rutgers University, Oct 2016
- IBM Applied AI Professional Certificate — Jul 2024
- Certified in SAS Statistical Tool — Sollers Institute, 2016
- Certificate of Eligibility in Mathematics Education — State of New Jersey
- Certificate in Human Subjects Research
Talks & Highlights
Recent and upcoming.
Lunch with Furg — WMCX Radio
May 6, 2026Monmouth UniversityOn-air conversation with Dr. Kara Teehan about the start of the Mathematics program at Monmouth University and what makes the department's approach to math and statistics distinct.
RUMEY Conference Talk
May 15, 2026Rutgers UniversityPresenting the Statistics with Application to Systemic Inequalities and Anti-Racism course developed at Monmouth University.
MAA MathFest
Aug 8, 2026Boston, MANational talk at the Mathematical Association of America's annual conference on the same socially engaged statistics course.
“This session explores a statistics course developed at Monmouth University that centers intentional, data-driven engagement with real-world issues. Rather than teaching statistics in isolation, the course invites students to critically examine how data shapes public understanding of systemic inequality — including race, gender, socioeconomic status, and LGBTQ+ experiences in the United States.”
The course is structured in three parts: investigating common misuses of statistics and how bias enters data; working through case studies to interpret data responsibly while learning practices such as data cleaning and data storytelling; and supporting student-driven research projects connected to issues they care about. Current events are woven throughout to keep statistical thinking immediately relevant.
Contact
Let's talk.
For teaching collaborations, speaking invitations, mentorship, or just to say hello — the fastest channels are below.