Interview Report

S

Sakshi Singh

s**********[email protected]

Interviewed on Jan 22, 2026

Completed
Flagged for suspicious behaviour
76SCORE

Overall performance

Finance Professor

Good fit for roleAcademic

Strong must-have skill scores and practical teaching approach

Summary

Report summary

Candidate Snapshot

The candidate demonstrated a structured and research-oriented approach to financial education, emphasizing the integration of theoretical foundations with practical applications through tools like SPSS, R, and EViews. She showcased strong familiarity with financial management concepts, IPO performance, market efficiency, and secondary data analysis, connecting her research experience to teaching methodologies. Her responses highlighted a student-centric teaching philosophy with a focus on interactive and inclusive learning, continuous assessment, and research mentorship.

Primary Challenges

How would you explain the use of SPSS as a tool for financial data analysis in teaching and research?

The interviewer asked about the use of SPSS in financial analytics and how it can be applied in teaching and research.

The candidate explained that financial analytics involves evaluating a company's financial health and decision-making in areas like capital budgeting, financing, and investment. She mentioned that SPSS is useful for conducting descriptive and regression analysis, which she had applied in her own Ph.D. research.

Demonstrated

  • Understanding of financial analytics and its applications
  • Use of SPSS for descriptive and regression analysis
  • Connection to Ph.D. research

Partially Demonstrated

  • Detailed explanation of broader SPSS capabilities

Missing or Unclear

  • Specific examples of SPSS outputs in teaching or research

How would you structure a lesson where you teach students regression analysis using SPSS, ensuring that they grasp both the practical application and theoretical underpinnings?

The interviewer asked how the candidate would teach regression analysis using SPSS with a balance of theory and practice.

The candidate outlined a step-by-step teaching methodology that includes explaining regression theory, using real-world case studies (e.g., IPO performance), interpreting outputs like R-squared and p-values, installing SPSS, and conducting practical exercises with case studies.

Demonstrated

  • Structured teaching methodology
  • Integration of theory and practice
  • Use of real-world examples like IPO performance

Partially Demonstrated

  • Depth of explanation in interpreting SPSS outputs

How would you explain the trade-off between liquidity and profitability to graduate-level students?

The interviewer asked the candidate to explain the liquidity-profitability trade-off in financial management.

The candidate defined liquidity as having sufficient liquid assets to meet obligations and profitability as generating higher profits and revenue. She explained the need for balance between the two, using examples of cash management and inventory levels to illustrate how companies can perform sustainably.

Demonstrated

  • Clear definitions of liquidity and profitability
  • Explanation of the need for balance
  • Connection of concepts to organizational sustainability

Partially Demonstrated

  • Specific examples of liquidity-profitability scenarios

How would you apply this concept in guiding students through a practical exercise, perhaps using financial ratios or case data?

The interviewer asked for a practical exercise to teach the liquidity-profitability trade-off using financial ratios or case studies.

The candidate suggested using liquidity ratios (e.g., quick ratio, working capital ratio) and profitability ratios (e.g., gross and net profit ratios). She also proposed analyzing real-life companies from sectors like manufacturing and services to demonstrate sector-specific liquidity and profitability requirements.

Demonstrated

  • Identification of relevant financial ratios
  • Inclusion of sector-specific examples
  • Focus on real-world applicability

Partially Demonstrated

  • Detailed explanation of ratio interpretation

How would you design a course module to ensure students appreciate the interplay between theoretical understanding and practical application in financial management?

The interviewer asked for a course design that connects financial management theory with practical applications.

The candidate proposed teaching foundational theories (e.g., capital budgeting, cost of capital) alongside practical tools like software and financial ratios. She emphasized case studies, hands-on exercises, and decision-making scenarios to prepare students for managerial roles.

Demonstrated

  • Comprehensive course design
  • Integration of theory and practice
  • Use of tools and case studies to enhance learning

Observed Capabilities

Demonstrated

  • Clear understanding of financial management concepts
  • Integration of theoretical and practical approaches
  • Use of SPSS, R, and EViews in research and teaching
  • Student-centric teaching philosophy
  • Structured and interactive course design

Partially Demonstrated

  • Interpretation of SPSS outputs
  • Detailed examples of financial ratio analysis

Missing or Unclear

  • Specific case studies or examples for SPSS application
  • Detailed numerical illustrations of the liquidity-profitability trade-off

Real-World Indicators

  • Ph.D. research on IPO performance and market efficiency
  • Publications in UGC CARE and Scopus-indexed journals
  • Experience presenting research at academic conferences
  • Use of financial software like SPSS, R, and EViews

Contextual Gaps

  • Lack of detailed examples for SPSS application in teaching
  • Limited discussion of practical data analysis scenarios

Strength Areas

Research and Publications
  • Ph.D. work on IPO performance and market efficiency
  • Publications in reputed journals on market efficiency and IPOs
Teaching Methodology
  • Student-centric and interactive teaching approach
  • Focus on integrating theoretical and practical knowledge
  • Use of case studies and real-world examples
Technical Expertise
  • Proficiency in SPSS, R, and EViews
  • Experience in secondary data analysis

Recording

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Transcript

· 105 lines
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Technical skills

4
SPSSE-viewsR softwareNVivo

Detected events

  • 0:00Multiple Monitors
  • 0:00Window Blur

Speakers

3 speakers · suspicious

Face preview

Face analysis

Resume score

Resume

Resume.pdf

85