B.Sc. Economics Tutor Wolfram Mathematica, Python, Statistics & Microeconomics

Company Description Techmentry offers personalized 1:1 learning experiences delivered online, allowing learners to study from home through live, interactive, and engaging sessions. The platform focuses on making complex technical and quantitative subjects accessible and enjoyable. Instruction is provided by a carefully selected group of experienced educators who emphasize practical understanding and concept clarity. Techmentry's environment supports individualized attention, flexible scheduling, and a learner-centered approach that appeals to students seeking tailored academic support.

Looking for an Online Tutor for B.Sc. Economics: Wolfram Mathematica, Python, Statistics & Microeconomics

Fees: Rs 800 to 1000 per hour

Details of Requirement:

We are seeking an experienced university-level tutor for a B.Sc. Economics student. The student requires comprehensive 1:1 guidance integrating computational tools with core economic theory and quantitative analysis.

Key Coverage Areas:

Wolfram Mathematica: Symbolic optimization, constrained Lagrange multipliers, comparative statics, dynamic modeling, and interactive visualizations (Manipulate, Plot3D).

Python for Economics / Data Analysis: Core Python scripting, NumPy, Pandas, Matplotlib, and statistical packages for economic data exploration.

Statistics & Quantitative Methods: Probability distributions, hypothesis testing, regression analysis, and basic econometrics.

Economics Theory: Microeconomic theory (utility maximization, production theory, market equilibria) aligned with standard undergraduate texts (e.g., CORE Econ).

Ideal Candidate Profile: Master's or Ph.D. in Economics, Econometrics, Applied Mathematics, or Quantitative Finance.

Prior experience tutoring university undergraduate students in computational economics.

Strong hands-on proficiency in both Wolfram Language (symbolic math) and Python (data science).

Logistics:

Mode: Online 1:1 sessions (screen share via Zoom / Google Meet).

Frequency: 2–3 sessions per week (flexible scheduling).

Please mention your teaching background, experience with Wolfram Mathematica/Python in economics, and your hourly rate when responding.