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I'm Amritangshu Banerjee, a seasoned AI Architect with 14+ years at the nexus of cloud-native engineering and advanced data science. I translate bold vision into reference architectures and long-term roadmaps that turn data and workflow challenges into scalable as-a-Service solutions. I lead cross-functional teams in operationalizing Generative AI, Large Language Models (LLMs), and rigorously validated Foundation Models across multi-cloud environments, accelerating clinical intelligence, performance analytics, and measurable business impact. Data is a team sport, and for 14 years I have quarterbacked enterprise-wide Data Strategy and Governance initiatives that transform raw information into sustainable value. I architect cloud-native platforms on GCP, Azure, AWS and Databricks, embedding rigorous Data Product Management and road mapping that unite creators and consumers to accelerate decision-making, elevate product performance and fuel cost-efficient growth. Partnering with C-suite leaders, I build cross-sector bridges that empower organizations to realize the art of the possible with data and scale its impact across their ecosystem, igniting the next chapter of data-driven innovation as Lead Data Partner.…I'm Amritangshu Banerjee, a seasoned AI Architect with 14+ years at the nexus of cloud-native engineering and advanced data science. I translate bold vision into reference architectures and long-term roadmaps that turn data and workflow challenges into scalable as-a-Service solutions. I lead cross-functional teams in operationalizing Generative AI, Large Language Models (LLMs), and rigorously validated Foundation Models across multi-cloud environments, accelerating clinical intelligence, performance analytics, and measurable business impact. Data is a team sport, and for 14 years I have quarterbacked enterprise-wide Data Strategy and Governance initiatives that transform raw information into sustainable value. I architect cloud-native platforms on GCP, Azure, AWS and Databricks, embedding rigorous Data Product Management and road mapping that unite creators and consumers to accelerate decision-making, elevate product performance and fuel cost-efficient growth. Partnering with C-suite leaders, I build cross-sector bridges that empower organizations to realize the art of the possible with data and scale its impact across their ecosystem, igniting the next chapter of data-driven innovation as Lead Data Partner.

Amritangshu Banerjee

Data Scientist, Architect, AI Engineer, +4

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I'm Amritangshu Banerjee, a seasoned AI Architect with 14+ years at the nexus of cloud-native engineering and advanced data science. I translate bold vision into reference architectures and long-term roadmaps that turn data and workflow challenges into scalable as-a-Service solutions. I lead cross-functional teams in operationalizing Generative AI, Large Language Models (LLMs), and rigorously validated Foundation Models across multi-cloud environments, accelerating clinical intelligence, performance analytics, and measurable business impact. Data is a team sport, and for 14 years I have quarterbacked enterprise-wide Data Strategy and Governance initiatives that transform raw information into sustainable value. I architect cloud-native platforms on GCP, Azure, AWS and Databricks, embedding rigorous Data Product Management and road mapping that unite creators and consumers to accelerate decision-making, elevate product performance and fuel cost-efficient growth. Partnering with C-suite leaders, I build cross-sector bridges that empower organizations to realize the art of the possible with data and scale its impact across their ecosystem, igniting the next chapter of data-driven innovation as Lead Data Partner.…I'm Amritangshu Banerjee, a seasoned AI Architect with 14+ years at the nexus of cloud-native engineering and advanced data science. I translate bold vision into reference architectures and long-term roadmaps that turn data and workflow challenges into scalable as-a-Service solutions. I lead cross-functional teams in operationalizing Generative AI, Large Language Models (LLMs), and rigorously validated Foundation Models across multi-cloud environments, accelerating clinical intelligence, performance analytics, and measurable business impact. Data is a team sport, and for 14 years I have quarterbacked enterprise-wide Data Strategy and Governance initiatives that transform raw information into sustainable value. I architect cloud-native platforms on GCP, Azure, AWS and Databricks, embedding rigorous Data Product Management and road mapping that unite creators and consumers to accelerate decision-making, elevate product performance and fuel cost-efficient growth. Partnering with C-suite leaders, I build cross-sector bridges that empower organizations to realize the art of the possible with data and scale its impact across their ecosystem, igniting the next chapter of data-driven innovation as Lead Data Partner.

Available to hire

I’m Amritangshu Banerjee, a seasoned AI Architect with 14+ years at the nexus of cloud-native engineering and advanced data science. I translate bold vision into reference architectures and long-term roadmaps that turn data and workflow challenges into scalable as-a-Service solutions. I lead cross-functional teams in operationalizing Generative AI, Large Language Models (LLMs), and rigorously validated Foundation Models across multi-cloud environments, accelerating clinical intelligence, performance analytics, and measurable business impact.

Data is a team sport, and for 14 years I have quarterbacked enterprise-wide Data Strategy and Governance initiatives that transform raw information into sustainable value. I architect cloud-native platforms on GCP, Azure, AWS and Databricks, embedding rigorous Data Product Management and road mapping that unite creators and consumers to accelerate decision-making, elevate product performance and fuel cost-efficient growth. Partnering with C-suite leaders, I build cross-sector bridges that empower organizations to realize the art of the possible with data and scale its impact across their ecosystem, igniting the next chapter of data-driven innovation as Lead Data Partner.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Work Experience

Senior Architect - AI & ML Engineering, Platform Architecture at Reckitt

November 1, 2021 - November 28, 2025

Led the design and deployment of a cloud-native GenAI & Data platform—integrating RAG ETL Studio, LLM Gateway/Model Guardian, Airflow orchestrated pipelines, dbt analytics on Lakehouse Databricks, MLflow Feature Store, and Kafka event streams; established Data Fabric and Semantic Layer applying FAIR data principles to democratize trustworthy data products enterprise-wide. Directed enterprise-wide MLOps governance, accelerating AI/ML deployments while reducing technical debt. Delivered end-to-end AI/ML solutions for sales forecasting, inventory optimization, commodity risk management, and marketing analytics, achieving up to 20% operational efficiency gains. Partnered with the CDO in federated data strategy, Data Mesh/Data Governance, and platform modernization for cost-efficient growth.

Manager - Data Science at Dubai Islamic Bank

November 1, 2021 - November 1, 2021

Built the bank's inaugural Data Science function and a big-data Customer 360 platform via data virtualization to unify analytics across departments. Implemented end-to-end ML pipelines delivering real-time, personalized recommendations, boosting digital channel adoption and 15% customer retention. Reduced support query resolution time by 20% by NLP sentiment analysis in virtual banking bot. Led A/B testing and marketing analytics to optimize campaigns, improving ROI.

Quantitative Modeler / Data Science Lead at Abu Dhabi Commercial Bank

November 1, 2019 - November 1, 2019

Directed real-time ML fraud-detection engine for high-volume payments; Real-time credit-approval APIs; IFRS9 compliant credit risk models to meet central-bank mandates; Deployed real-time streaming analytics to embed live customer insights into decision workflows, dramatically reducing response times.

Assistant Manager - Analytics at EmiratesNBD

April 1, 2018 - April 1, 2018

Spearheaded ML-based credit risk scorecards and macroeconomic stress models; Enhanced AML monitoring by embedding ML into enterprise-scale transaction monitoring; Improved loan-loss provisioning models and recovery strategies; Implemented data integration between Credit Bureau and Loan Origination systems for real-time data exchange.

Lead – Analytics & Insights at Tata Consultancy Services

April 1, 2018 - April 1, 2018

Led churn-reduction analytics for telecom clients; Market-mix modeling, cross/up-sell propensity analyses, campaign design and A/B tests; Deployed demand-forecasting and inventory-optimization solutions for retail clients; Pre-sales analytics efforts supporting data-driven demos and faster client decisions.

Consultant at Ernst & Young

February 1, 2014 - February 1, 2014

Validated and optimized credit-loss forecasting and macroeconomic stress-testing models to comply with central-bank standards; Spearheaded portfolio risk analyses to fortify capital adequacy and enable data-driven strategic decisions.

Business Analyst at HSBC

September 1, 2013 - September 1, 2013

Revitalized credit line management through risk-based pricing; Deployed ML models to enhance credit loss forecasts and delinquency prediction; Built data integration between Credit Bureau and systems to accelerate credit processing with real-time data exchange.

Manager - Data Science at Dubai Islamic Bank

January 1, 2020 - November 1, 2021

Established and led the bank’s inaugural Data Science function, implementing AI-driven solutions for customer engagement and risk management that elevated data-driven decision-making across the organization. Architected and delivered a big-data-enabled Customer 360 platform via data virtualization to unify analytics pipelines across departments. Engineered end-to-end machine-learning pipelines that delivered real-time, personalized recommendations to accelerate digital channel adoption, driving a 15% increase in customer retention. Cut customer support query resolution time by 20% by embedding NLP-based sentiment analysis into the virtual Banking Bot. Drove A/B testing and marketing analytics model implementation to optimize campaign strategies, resulting in increased campaign ROI.

Quantitative Modeler / Data Science Lead at Abu Dhabi Commercial Bank

April 1, 2018 - November 1, 2019

Directed end-to-end development of a real-time machine-learning fraud-detection engine for high-volume payments, instantly flagging anomalies and blocking scams, markedly strengthening platform security and customer trust. Spearheaded development of real-time credit-approval APIs that eradicated manual bottlenecks, slashed decision turnaround from hours to seconds, and significantly elevated customer satisfaction scores. Spearheaded full-lifecycle deployment of IFRS9-compliant credit risk models in response to an urgent central-bank mandate, orchestrating cross-functional teams to achieve regulatory compliance ahead of deadline. Orchestrated the development of a real-time streaming analytics platform that embedded live customer insights into decision-making workflows, empowering teams to make immediate, data-driven adjustments and dramatically reducing strategic response times.

Assistant Manager - Analytics at EmiratesNBD

February 1, 2016 - April 1, 2018

Spearheaded development of machine-learning credit risk scorecards and macroeconomic stress models, delivering on-schedule solutions that maintained continuous compliance with evolving regulatory standards. Revamped the anti-money-laundering framework by embedding machine-learning models into enterprise-wide transaction monitoring, dramatically accelerating risk detection, enhancing accuracy, and simplifying compliance reporting. Spearheaded development of data-driven loan-loss provisioning models and revamped recovery strategies amid surging default rates, boosting portfolio efficiency by 10%. Led the design and rollout of seamless data integration between Credit Bureau and Loan Origination systems, eliminating manual transfers and accelerating credit processing with real-time, error-free data exchange.

Lead – Analytics & Insights at Tata Consultancy Services

February 1, 2014 - April 1, 2018

Countered rising churn among telecom clients by engineering data-driven retention models, lifting average customer lifetime value by 12%. Led market-mix modeling, cross/up-sell propensity analyses, campaign design, A/B tests, and multichannel attribution studies, equipping leadership with data-backed insights that sharpened campaign targeting and optimized budget allocation across channels. Orchestrated end-to-end design and deployment of demand-forecasting and inventory-optimization solutions for retail clients, cutting product shortages by 15%. Orchestrated pre-sales analytics efforts alongside sales teams, creating data-driven demos and proposals that shortened client decision cycles.

Consultant at Ernst & Young

September 1, 2013 - February 1, 2014

Elevated accuracy of credit-loss forecasting and macroeconomic stress-testing models by rigorously validating and optimizing analytics to comply with stringent central-bank standards. Spearheaded portfolio risk analyses for banking clients, optimizing P&L forecasts to fortify capital adequacy and enable data-driven strategic decisions.

Business Analyst at HSBC

June 1, 2011 - September 1, 2013

Revitalized credit line management for retail banking portfolios by implementing risk-based pricing strategies, boosting portfolio profitability while mitigating credit exposure. Engineered and deployed machine-learning models to enhance credit loss forecasts, increasing delinquency prediction accuracy by 20%. Engineered customer lifetime profitability segmentation models that equipped marketing teams with granular insights, sharpening retention strategies and boosting overall customer lifetime value. Engineered robust ETL pipelines across Teradata and Oracle platforms, streamlining data integration workflows and accelerating downstream analytics delivery.