Vandana Ns

Results-driven AI/ML Data Analyst and Business Analyst with 4+ years of experience delivering measurable business impact through advanced analytics, machine learning, and Generative AI. At Amazon, engineered 250K+ high-fidelity training data points, improved GenAI model accuracy by 40%, and maintained 99.9% pipeline uptime across 18 global regions. Google-certified AI Professional with deep expertise in RLHF pipelines, LLM evaluation, multilingual AI, Python, SQL, Power BI, and Tableau.

EPGDS-certified (IIITB) with a proven track record in cross-functional collaboration, responsible AI, and data-driven decision-making.

AI/ML Data Analyst – GenAI & RLHF at Amazon (2024-04 – 2025-12)

Engineered high-fidelity training data points for RLHF and fine-tuning pipelines, conducted human metric evaluations, architected Human-in-the-Loop workflows, executed pre-launch functional tests, managed data pipeline refreshes, and maintained secure data workflows.

• Engineered 250,000+ high-fidelity training data points for RLHF and fine-tuning pipelines, directly improving GenAI model accuracy by 40% across 5+ product verticals.
• Conducted 30+ human metric evaluations and root cause analyses achieving 95% defect traceability, influencing critical go/no-go launch decisions for customer experience products.
• Architected Human-in-the-Loop (HITL) workflows supporting 10 languages across 18 global regions, reducing rework by 22% through culturally aligned data strategies.
• Executed 50+ pre-launch functional tests across multiple device types, reducing post-release defects by 35% and ensuring seamless end-user experiences.
• Managed 100+ monthly data pipeline refreshes and deployments, maintaining 99.9% uptime while proactively mitigating data quality and shepherd risks.
• Achieved 100% compliance in secure red-data workflows, supporting responsible AI, privacy-first operations, and internal audit requirements.
• Partnered with ACES and Change Management teams to streamline SOPs, reducing analyst onboarding time by 30% and improving team ramp-up efficiency.
• Delivered multilingual AI evaluation across diverse cultural contexts, contributing to inclusive and globally relevant product experiences.

Data Analyst – Client Advisory (Contract) at PwC Switzerland (2023-12 – 2024-02)

Delivered end-to-end data analysis and visualization solutions for international client projects using Power BI and Advanced Excel. Collaborated with cross-functional consulting teams and produced executive-ready dashboards.

• Delivered end-to-end data analysis and visualization solutions for international client projects using Power BI and Advanced Excel.
• Collaborated with cross-functional consulting teams to surface actionable insights that directly supported strategic business decisions for enterprise clients.
• Produced clear, executive-ready dashboards translating complex datasets into accessible business narratives.

Data Analyst – Consulting Engagement (Contract) at BCG X (2023-07 – 2023-08)

Executed data analysis projects for BCG consulting engagements, applying analytical frameworks to derive actionable business insights for client strategy using Python and analytical tools.

• Executed data analysis projects for BCG consulting engagements, applying analytical frameworks to derive actionable business insights for client strategy.
• Leveraged Python and analytical tools to process and model datasets, contributing to deliverable-grade consulting outputs.

Senior Analyst – Healthcare Data & Claims at HGS – Hinduja Global Solutions (2019-05 – 2021-10)

Achieved 98% accuracy in benefit claims processing and data handling with strict HIPAA compliance. Implemented strategic claims monitoring improvements resulting in 20% increase in processing efficiency. Maintained 95% success rate in payment follow-ups and customer sentiment analysis.

• Achieved a 98% accuracy rate in benefit claims processing and data handling, maintaining strict HIPAA compliance and safeguarding data integrity across all workflows.
• Implemented strategic claims monitoring improvements that resulted in a 20% increase in processing efficiency, reducing cycle time and operational overhead.
• Maintained a 95% success rate in payment follow-ups and customer sentiment analysis, contributing to consistently high customer satisfaction scores (CSAT).
• Leveraged data-driven insights to identify systemic workflow bottlenecks, enabling process re-engineering across the claims team.

Executive Post Graduate Programme in Data Science (EPGDS) in Data Science – International Institute of Information Technology Bangalore (IIITB) (2022-02 – 2023-04)

Bachelor of Commerce in Accounting & Finance – Bangalore University (2013 – 2017)