Substitute Lecturer (Full-Time)
Murray Koppelman School of Business, Brooklyn College, CUNY
July 2022 – Present
Courses: Corporate Finance, Investment Theory
Adjunct Lecturer
Fordham University – Departments of Mathematics, Finance, and Economics
July 2022 – Present
Courses: Macroeconomics, Microeconomics, Statistics I, Statistics II,
Finite Mathematics, Calculus for Business
Adjunct Lecturer
Yeshiva University – Department of Economics and Finance
July 2022 – Present
Courses: Business Statistics, Microeconomics
Adjunct Lecturer
Baruch College, CUNY – Department of Economics and Finance & Paul H. Chook Department of Information Systems and Statistics
January 2022 – Present
Courses: Macroeconomics, Microeconomics, Econometrics,
Data Mining, Statistics
Adjunct Lecturer
City College of New York, CUNY – Departments of Mathematics, Finance, and Economics
July 2016 – Present
Courses: Pre-Calculus, Calculus I, Calculus II, College Algebra,
Applied Mathematics, Macroeconomics, Microeconomics
Adjunct Lecturer
Queens College, CUNY – Department of Economics
January 2022 – Present
Courses: Macroeconomics, Microeconomics, Economics for Business
Adjunct Lecturer
Hunter College, CUNY – Department of Mathematics and Statistics
July 2021 – Present
Courses: College Algebra, Statistics
Adjunct Lecturer
York College, CUNY – Department of Mathematics and Computer Science
August 2019 – Present
Courses: Statistics, Introduction to Artificial Intelligence, Introduction to Algorithms, Introduction to Computer Programming.
Adjunct Lecturer
New York City College of Technology (City Tech), CUNY – Department of Mathematics
July 2016 – Present
Courses: Calculus II, Calculus III, Statistics, College Algebra, Pre-Calculus
Lecturer
Acharya Jagadish Chandra Bose College, University of Calcutta – Department of Statistics
2012 – 2014
Courses: Time Series Analysis, Mathematical Statistics, Statistical Inference,
Linear Statistical Inference, Design of Experiments
Additional Class information:
Course development (new syllabi, Blackboard/Canvas/LMS design)
Software taught: R, Python, SPSS, Stata, Excel, MATLAB, SAS, etc.
Class size range (e.g., taught courses ranging from 25 to 75 students)