Internships & Research

(Published in the International Journal for Multidisciplinary Research, Vol. 7, Issue 5, Sept–Oct 2025)
Mentor: Prajapati N. Malayvardhan (University of Oxford)

  • Developed a behavioural–econometric model testing whether policy announcements trigger a “placebo” market effect—a same-day reaction beyond what timing and policy sign predict.

  • Constructed a multi-country event panel (20 + positive & 20 + negative events) linking equity and bond market movements with policy timing and consumer sentiment.

  • Introduced a “Shock Factor” salience model, converting lead-time into behavioural weights with an exponential half-life to measure attention decay.

  • Found that unanticipated policies show ≈ 4.6 % stronger equity reactions than anticipated ones, validating behavioural salience and present-bias effects.

  • Applied robust econometric diagnostics such as jackknife sensitivity, bootstrap confidence intervals, and heteroskedasticity-consistent regressions to confirm stability.

  • Proposed a forecasting rule for announcement-day equity moves based on policy sign, timing, and anticipation class.

  • Research bridges efficient-market theory and behavioural economics, quantifying how surprise, attention, and framing drive shifts in investor expectations.

Research Paper: Is There a Measurable Placebo Effect in Policy Announcements?

CredSolv (CredResolution) — Microfinance Risk Intern | June 10–July 10, 2025

• Worked at a microfinance startup that expands credit access for underserved borrowers.
• Cleaned and analyzed a large borrower dataset (~100k+ rows) using Python and Excel.
• Tested how borrower and loan traits relate to default to surface clear, usable insights.
• Finding: property value was the strongest predictor of default; gender and interest rate also mattered; age, credit score, and income were weaker on their own.
• Built a “borrower profile before loan” checklist and a simple risk score to guide approvals.
• Recommended guardrails: Property-to-Loan ratio around 1.8:1, APR caps for low-income borrowers, extra verification for higher-risk profiles, and early monitoring triggers.
• Wrote a concise white paper and sector brief to standardize screening and improve repayment prediction.

• Helped design an experiential Banking & Finance curriculum aligned to SDGs (quality education, reduced inequalities, decent work).
• Built hands-on activities: MuSo Bank “account opening” flow, currency-exchange booth, life-size Monopoly to teach budgeting and opportunity cost, and a live stock-market simulation (MSX) for risk–return and diversification.
• Wrote facilitator scripts, learner worksheets, role cards, and quick-reference posters so sessions could run consistently without expert staff.
• Structured learning progression from saving and budgeting to interest, credit, insurance, and markets; mapped each activity to clear outcomes.
• Piloted sessions on-site, facilitated groups, and coached volunteers to keep activities fast, safe, and inclusive for mixed-age learners.
• Set up logistics end-to-end: room layouts, materials kits, timing plans, sign-in and flow management across multiple stations.
• Collected feedback, ran short debriefs, and iterated rules to improve clarity, pacing, and engagement.
• Delivered a reusable “program playbook” with schedules, checklists, and printables so MuSo can run the module independently.
• Coordinated with the JSW initiative team to align content with corporate goals around financial literacy and community impact.

Museum of Solutions (MuSo) — Banking & Finance Program Intern (JSW Large Corp Initiative)

Independent Research

  • Cathedral Mathematics Competition: Timing Analysis — Designed and analyzed a study on invite-send timings to maximize registrations; pending publication and Gold CREST Award submission.

  • Authored multiple board-mandated research projects across Mathematics, Economics, Commerce, and Accountancy, including a two-day accounting field study on asset valuation and recording.

Internships & Experiential Learning

  • Paradox Museum (1-day intern): Explained the physics behind perception-based exhibits (e.g., Euler’s wheel illusion, water upflow) to visitors; simplified concepts using quick demos and analogies.

  • School Accounts Department (2-day intern): Assisted with asset management and journal recording; verified entries against vouchers, updated fixed-asset registers, and practiced valuation methods used in the department.

Additional Independent Research & Internships