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Admission Open 2027-2029 ↗

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RESIDENT FACULTY • BUSINESS MATHEMATICS & STATISTICS

Ms. Nandini Dilip Lambole

Assistant Professor – Business Mathematics & Statistics | Quantitative Sciences

Academic Profile & Teaching Philosophy

Ms. Nandini Dilip Lambole is an Assistant Professor specializing in Business Mathematics and Statistics at Lexicon MILE Pune. With two years of dedicated teaching experience across quantitative disciplines, she equips postgraduate and undergraduate management scholars with critical numerical fluency, analytical reasoning, and rigorous problem-solving capabilities.

Her teaching approach emphasizes conceptual clarity, logical reasoning, analytical thinking, and the practical application of mathematical and statistical techniques. She focuses on helping students develop strong problem-solving skills and understand how mathematical concepts can be directly applied to business, engineering, and real-world commercial situations.

“She believes in making mathematical concepts clear, practical, and application-oriented. Combining theoretical understanding with practical examples encourages students to develop analytical abilities, logical thinking, and confidence in solving complex mathematical and statistical problems.”

Core Competencies & Mathematical Domains

Ms. Lambole mentors students across key areas of quantitative disciplines, bridging pure mathematical rigor with modern business applications:

Business Mathematics & Reasoning

Equipping students with foundational algebra, calculus for optimization, matrix arithmetic, and quantitative decision-making frameworks essential for business analysis.

Probability Theory & Statistics

Probability distributions, hypothesis testing, correlation and regression, variance analysis, and statistical inference applied to managerial decision scenarios.

Mathematical Modelling & Optimization

Formulation of mathematical models, linear programming, sensitivity analysis, and optimization algorithms for resource allocation and operational planning.

Quantitative & Analytical Methods

Discrete mathematics, logic formulations, algorithmic thinking, and analytical problem-solving techniques for engineering and business analytics.

Teaching Experience & Research Interests

Throughout her academic tenure, Ms. Lambole has instructed a diverse range of undergraduate and postgraduate courses:

  • Courses Delivered: Business Mathematics, Probability and Statistics, Engineering Mathematics, Discrete Mathematics, Quantitative and Analytical Methods.
  • Research Specialization: Her primary research interest is Applied Mathematics, with a focus on applying mathematical and statistical techniques to practical and interdisciplinary problems.
  • Research Areas: Mathematical modelling, probability and statistical analysis, optimization techniques, and the application of mathematical methods to real-world challenges.
  • Areas of Expertise: Business Mathematics, Probability Theory, Statistics, Engineering Mathematics, Discrete Mathematics, Mathematical Modelling, Quantitative Analysis, Applied Mathematics, Problem Solving and Mathematical Reasoning.

ADMISSIONS OPEN 2027–28

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