Subir Debnath
Data, AI ML and Solution Architect
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About
I am a data architect with 25+ years of experience and outstanding techno-functional achievements spanning across multiple domains: banking, insurance, high-tech, and life sciences. Renowned for consistently bolstering business competitiveness by devising robust architectural solutions, both on cloud and on-premises platforms. Possesses expertise in crafting and implementing Data Fabric and AI/ML use cases, whilst spearheading the modernization of data platforms to cater to evolving business requirements.
Experience
- Worked on use cases for Gen AI LLM focusing on Document Analysis and Processing,
including image and content analysis, anomaly detection, and information identification through clustering and classification.
- For a global insurance provider, as Senior Enterprise Data Architect, designed the
Data Platform target architecture. This involved defining a roadmap to consolidate the fragmented landscape of disparate data platforms into a federated data lake platform. Conducted an in-depth analysis of the current tool stack to create the definition of the target tech stack and developed subject area models to guide the future roadmap across all Business Units involved in the program.
- At a tier 1 investment bank in the UK, as Senior Data Specialist/ Modeler, helped with defining data strategy solutions for Customer.
Key responsibilities included defining the Enterprise Group Customer Logical Data Model based on BIAN that was used across all BUs. Helped in creating Operating Models, RACI to govern the process and delivery of the model with stakeholders. Developed strategies for
Reference Data and crafted a comprehensive Data Governance Framework in
Collibra providing lineage for the entire data model lifecycle.
- For a global provider of financial products decision support tools, as Solution Data
Architect, spearheading the development of the data strategy and transformation programme on the MS Azure cloud data lake. Notable achievements include powering dashboards, AI ML, and data science initiatives. For instance,
implemented ML sentiment analysis to identify reasons for customer churn and address issues to enhance customer retention.
- At a tier 1 investment bank in the US, as Lead Data/Solution Architect for the implementation of a Global Securities Aggregation Platform. This platform integrated analytics and reporting platforms to meet regulatory requirements across multiple geographies. Facilitated the development of business cases and defined roadmaps for solution implementation, collaborating closely with stakeholders from both business and technology teams to address source data requirements.
- As Data Architect/Analyst/Modeler in Mortgage Integrated Data Environment and
Image & Content Management Platform projects, contributing to the enhancement of functionalities and designing and implementing technical solutions and data models.
- As Data/Solution Architect/Delivery Lead on Shared Operational Risk Platform projects, defining target data stores, data models, and data pipelines to facilitate the identification and mitigation of operational risks promptly.
- As a Solution Lead for American Insurance Group, a global insurance provider, led the data migration effort for the Re-Insurance Data Platform. This involved defining target data stores, designing data models, and creating data pipelines from
Mainframe to DB2, resulting in a unified database that facilitated modern application development on the Java platform.
- In summary, consistently played various roles on data-intensive projects,
contributing to the definition of target state solutions on leading tech stacks.
Additionally, skilled in AI-ML and Databricks on Azure; possess expertise in data integration techniques such as Data Fabric, Data Mesh, and data virtualization.
Moreover, proficient in programming languages including SQL, PySQL, PySpark, and
Python.
Education
Post Graduate Diploma is Business Administration
Post Graduate Diploma is Computer Application