Shreeyanshi Mahendra

Led a seven-person team in a simulated global automotive firm, diagnosing and turning around a negative Economic Value Added position. Restructured debt and capital decisions to recover credit rating and improve financial performance.

Led a technical team in designing a four-layer responsible AI architecture for an adaptive learning platform, ensuring compliance with GDPR, the EU AI Act, and the Portuguese Digital Rights Charter. Authored three gap-closing frameworks and built an age-tiered data governance model.

Consolidated UK SME lending guidance into a retrieval corpus and upgraded a dense-retrieval baseline with LLM query rewriting, hybrid retrieval, and cross-encoder reranking, improving generation quality by 37%.

Replaced a manual reporting cycle with a six-stage pipeline producing an executive PDF, interactive dashboard, and embedded chatbot, cutting turnaround to under two minutes. Quantified hallucination risk through controlled ablation across grounding strategies.

Analysed cryptocurrency and CBDC adoption across 15+ countries and modelled cross-border payment flows on BIS and IMF data, identifying significant settlement cost reduction potential.

Benchmarked trade finance portfolios across major banks on pricing, eligibility, and digital platform performance, identifying digital efficiency gains for Islamic supply chain finance instruments.

Pursuing an MSc in Business Analytics, covering advanced data analysis, AI applications, and business statistics.

Grade: CGPA 9.56/10

Activities and societies: Dean's Honour List 2022–23

Completed BBA in Insurance & Banking with a CGPA of 9.56/10, earning Gold Medallist and Course Topper recognition.

Grade: 96.4%

Completed Class XII in Commerce with Mathematics, achieving the position of Overall School Topper with 96.4%.