Krishna Chaitanya Vamaraju
Plainsboro,NJ
Summary
Data and AI leader with 12+ years of experience solving complex, cross-domain problems at the intersection of analytics, product, and strategy. I’ve led initiatives across e-commerce, life sciences, and startups—developing a domain-agnostic, context-driven approach to problem solving. My journey from Amazon’s petabyte-scale fraud detection systems to leading GenAI and analytics at Bristol Myers Squibb reflects both depth in technical execution and breadth in stakeholder understanding.
I found my purpose in healthcare—where data work is not only complex, but meaningful. I specialize in building scalable pipelines and models that help organizations measure what matters, deep dive faster, and make decisions with a 360° view. I approach problems by first defining success, and adapt my communication and solutions to fit the audience—from scientists to executives. My leadership style is hands-on, iterative, and grounded in customer-first thinking, ownership, and bias for action.
Overview
13
13
years of professional experience
Work History
Senior Manager, Data Science & AI
Bristol Myers Squibb
New Jersey
04.2021 - Current
- Lead GenAI and advanced analytics solutions across Drug Development and Supply Chain, with a focus on supporting medical writing, regulatory readiness, and clinical operations. Partnered cross-functionally with clinical scientists, medical writers, quality leads, and trial management teams.
- Safety Narrative Generation (Product): Led development of a GenAI application used by medical writers to automate 5,000+ narratives/year, saving ~5 hours per narrative while improving consistency and traceability.
- Review Automation (Tool): Designed an NLP-based QA tool for regulatory documents, reducing manual review by ~4 hours per document across 500+ submissions annually.
- Risk Radar (Quality Predictive Model): Developed a risk forecasting framework to detect trends across quality events. Leveraged NLP to classify root causes and route risk signals by department, enabling preventive action.
- Document Retrieval & Comparison: Built RAG-style retrieval systems to ensure consistent, hallucination-resistant GenAI outputs across trial documents and protocols.
- Analytics Leadership: Delivered 10+ dashboards supporting deviations, root causes, and trial metrics. Created frameworks for clinical and quality insights adopted across global teams.
- Enablement: Championed prompt engineering, clinical data modeling, and stakeholder education programs to accelerate GenAI adoption in R&D.
- Tech Stack: Python, SQL, Tableau, DuckDB, PostgreSQL, Langchain, Google Agent SDK
Senior Business Intelligence Engineer
Amazon.com
Seattle, WA
10.2018 - 03.2021
- Built data pipelines and models on Amazon Redshift integrating petabytes of customer, order, and payment data.
- Designed new schemas and data models to support emerging products and launch readiness.
- Owned KPI development and fraud funnel pipelines across Amazon Physical Stores, Amazon B2B, and Prime Video—aligning ML outcomes with business objectives.
- Enabled deep dives for stakeholders by integrating fraud models and customer behavior signals into unified reporting pipelines.
- Led A/B testing strategy for fraud evaluation during new product launches and international market expansions.
- Collaborated with Machine Learning Scientists, Product Managers, and Data Engineering teams to deliver scalable solutions that informed decision-making.
- Developed forecasting and capacity planning models to align contact volumes with SLA targets.
- Built dashboards to monitor customer friction and operational KPIs across fraud funnel stages.
Graduate Teaching Assistant
University of Cincinnati
Cincinnati, OH
09.2017 - 12.2017
- Supported instruction and lab sessions for "Decision Models and Optimization" course. Managed assignments and queries of 30+ students.
Entrepreneurial Product & Strategy Lead
Startup Ecosystem
India
03.2014 - 08.2017
- Participated in the early stages of startups, enhancing growth in tech and hospitality industries with direct engagement in product, operations, and customer success.
- Operated with high ownership—working long hours to solve unstructured problems, design data-driven solutions, and translate vision into execution.
- Led product strategy from ideation to launch, building KPIs that measured traction, engagement, and business impact.
- Developed decision models for optimizing the customer conversion funnel and driving sustainable growth.
- Interfaced with VCs and stakeholders, articulating product-market fit, customer insights, and roadmap priorities.
- Thrived in ambiguity and resource-constrained environments—where creativity, velocity, and grit were essential to outcomes.
Optimization Consultant
Schneider Electric
South East Asia / Middle East
09.2012 - 03.2014
- Led refinery simulation and throughput optimization initiatives to reduce energy consumption and improve production yield.
Education
MS - Business Analytics
University of Cincinnati
Cincinnati, OH08.2017
BE (Hons), MSc (Hons) - Chemical Engineering And Chemistry
BITS Pilani
IndiaSkills
- Certification: Big Data Analytics & Optimization (Certified by Carnegie Mellon via LTI)
- Languages & Tools: Python, SQL, Tableau, DuckDB, PostgreSQL, AWS Redshift, Spark, H2O
- Frameworks & Platforms: Langchain, Google Agent SDK, Arena, Pro-II
- Language Models: Claude, OpenAI, Gemini, Custom/Local LLMs
- Core Expertise: Gen AI, Supply Chain Analytics, Document Intelligence, Human-in-the-Loop AI, Prompt Engineering, Dashboard Development, Data Analytics, Quality Analytics (Deviations, CAPAs, Findings)
Timeline
Senior Manager, Data Science & AI
Bristol Myers Squibb
04.2021 - Current
Senior Business Intelligence Engineer
Amazon.com
10.2018 - 03.2021
Graduate Teaching Assistant
University of Cincinnati
09.2017 - 12.2017
Entrepreneurial Product & Strategy Lead
Startup Ecosystem
03.2014 - 08.2017
Optimization Consultant
Schneider Electric
09.2012 - 03.2014
MS - Business Analytics
University of Cincinnati
BE (Hons), MSc (Hons) - Chemical Engineering And Chemistry
BITS Pilani