Ruchika is a guest lecturer based in Delhi available for online guest lectures, in-person guest lectures, and career panels at universities. Introductions are free through OpenLecture.

Guest lecture topics

  • Business Analytics
  • Statistics
  • Mathematics
  • Research Methodology
  • Quantitative Techniques for Managers
  • Machine Learning Applications in Business
  • Fuzzy Logic for Decision Support

Teaching experience

  • Course Instructor — International Management Institute Delhi

    Business Statistics; Business Analytics; Research Methodology

    2023–present
  • Course Instructor — Management Education and Research Institute

    Mathematics; Statistics; Quantitative Techniques

    2022–2023
  • Course Instructor — Delhi Technological University

    Engineering Mathematics; Graph Theory (TA)

    2017–2022

More about my teaching

Apr 2023 – Present| Assistant Professor, IMI Delhi, New Delhi, India Courses taught: Business Statistics, Quantitative Techniques, Business Research Methods, Business Analytics, Research Methodology, and Survey Methods for Decision Making. Sep 2022 – Apr 2023 | Assistant Professor, Management Education and Research Institute (MERI), GGSIPU, Delhi, India Courses taught: Mathematics, Statistics, and Quantitative Techniques. Jan 2022 – Apr 2022 | Online Tutor, NPTEL (India) Course: Scientific Computing Using MATLAB. Jul 2017 – Apr 2022 | Teaching Assistant/Tutor, Department of Applied Mathematics, Delhi Technological University (DTU), Delhi, India Courses taught: Engineering Mathematics and Graph Theory (B.Tech. program).

Interests & speaking style

Interest: I am interested in guest lecturing because it provides an opportunity to engage with diverse student groups, share industry-relevant analytical and quantitative insights, and contribute to global learning communities. I enjoy connecting academic concepts with real-world applications and learning from the perspectives of students and faculty across different institutions. Guest lectures also enable meaningful academic collaboration and the exchange of ideas in areas such as business analytics, statistics, research methods, AI, and decision science. Lecturing style: My lecturing style is interactive, application-oriented, and student-centric. I focus on simplifying complex quantitative concepts through real-world business examples, case discussions, hands-on exercises, and data-driven problem-solving. I encourage active participation, critical thinking, and practical application of analytical tools to help students connect theory with managerial decision-making.

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