Yoovanshu Bajaj
Core member @ Analytics Alliance
About
MBA Candidate in Business Analytics at Delhi School of Economics, specializing in data-driven decision making, financial analytics, and consulting frameworks. Experienced in AI evaluation projects, developing strong skills in data analysis, process auditing, and quality enhancement, ensuring actionable and reliable insights Aiming to build a career at the intersection of consulting and financial/business analytics, leveraging advanced analytics to solve complex problems and drive measurable business impact.
India
New Delhi
Management Consulting
Lean Six Sigma, Process Quality Improvement, DMAIC, Root Cause Analysis, Operational Excellence, Continuous Improvement, Resume Review, Industry management & Guest Lectures, Academic Content Development , Event planning , Organization Skills, Stakeholder Management, Data Analytics, Auditing, AI Model Training, Comparative Analysis & Benchmarking, Prompt Engineering / Adversarial Prompting, Quality Assurance, Generative AI, Multimodel data Assessment
Experience

Core member
Delhi, India
• Led CV screening & review for 50+ MBA students, enhancing placement readiness through feedback on structure, clarity, and recruiter alignment. • Orchestrated industry engagement initiatives, including guest lectures and knowledge sessions with analytics & consulting professionals. • Developed study material & practice resources, enabling peers to strengthen technical foundations and prepare effectively for exams. • Collaborated with cross-functional committees, ensuring smooth execution of events and fostering a stronger analytics-driven community at DSE. This experience sharpened my leadership, program management, and stakeholder coordination skills, while reinforcing my focus on analytics, consulting, and professional development initiatives.

Core member
Student Development Cell MBA- Business Analytics DSE
Delhi, India
Data Annotator
• Promoted from Data Annotator → Auditor within 6 months for strong performance and alignment expertise. • Contributed to prompt/response training for generalist and STEM-based AI models, improving generalization and accuracy. • Completed 200+ tasks spanning: • Comparative Analysis — Evaluated and justified preferences between AI-generated responses using structured rubrics. • Multimodal Data Assessment — Analyzed image-text pairs for contextual accuracy, safety, and relevance. • Adversarial Prompt Generation — Designed challenging inputs to uncover weaknesses and reduce hallucinations. • User-Centric Refinement — Rewrote educational/student-use prompts for clarity, precision, and usability. • Feature QA & Testing — Audited confidential Google AI tools to ensure functionality, consistency, and stability. This role strengthened my analytical depth, linguistic precision, and research-driven problem-solving across diverse AI modalities.
Yoovanshu Bajaj's Contact Information
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