Purna Dass Email & Phone Number

Texas, United States

Implementation of Cutting-edge architectures, frameworks, and methodologies, pushing the boundaries of natural language processing (NLP) and machine learning. Architected sophisticated large language models (LLMs) with the remarkable ability to process and generate natural language. Designed neural network parameters, leveraging extensive amounts of unlabeled text data, to further enhance the model's capabilities.Build Data modernization strategy for improved analytics and business intelligence capabilities.Custom Enterprise-wide End to End Generative AI solution on - GCP, Azure - Snowflake, Databricks - Salesforce data cloud

California, United States

Project Galileo was a digitization and automation project to enable gains in MSD order management productivity, improve customer experience, and set a foundation to scale to other AIG businesses. Digitize process to enable analytics and standardization. Meet expected growth in order volume without increasing staff at a corresponding rate. Designed and built a centralized data lake to enable reporting thru Power BI. Lead systems implementations and detailed technical system design. Various BU’s requests are being catered to from the data lake and data platform.• Collaborated with MSD Business team, analysts, Engineers, and DBAs to gather requirements.• Analyzed existing data sources on QAD, Microsoft Dynamics and identified opportunities for consolidation, integration, and standardization. Microsoft dynamics CRM API in near real time with SLA of 5 minutes.• Framework designed for CDC data capture, near real time and data cleansing and transformation in ADF, data bricks, python, Rest API. • Designed Azure SQL and Snowflake data model to store and generate insights using power BI. • Azure ML and Prompt engineering for content search and response to chatbot. • Participated in data governance activities, including data lineage, data dictionary management, and metadata management.• CI/CD Authentication and authorization thru Git.• Maintained repository of all data architecture procedures and artifacts.

India

Data as a ServiceDaaS solution developed for various customers on Attra consists of data analytics services on large data which are hosted on scalable cloud hosting services on AWS. We have deployed various solutions based on AI / ML or on large data sets for customers to access. Customer can access Platform, Solutions and SaaS built and managed by Attra. Zero upfront investment by Customers and underlying Infrastructure and services are managed by Attra. Prebuild Financial Domain Services and On Demand on Amazon Web Service (Near Shore) with Secure Access and Zero upfront investment.Core and Featured DaaS solutions have been designed and developed for various customers where in each AI / ML solution on top of the data lake like loan delinquency, ATM Cash forecasting, Customer 360 etc. were deployed on customer specific dockers on Kubernetes cluster for secure access.http://bigbicloud.blogspot.com/p/big-data-as-service.htmlClient: Internal Product Platform as a ServicePaaS service developed for various banking and payment customer of Attra for them to start their digital Journey on big data, Artificial Intelligence, Machine Learning, Microservices with Kubernetes cluster on public cloud. Customer can select from predefined set of software images and applications like Kubernetes, Hadoop, Spark etc. and launch them on AWS cloud. Specific solution for payment and banking industry on AI and ML were designed to cater to customer requirements. These solutions one being accessed would start multiple virtual machines with selected software on AWS. Attra hosted the hardware and software on public cloud, PaaS frees developers from having to install in-house hardware and software to develop or run a new application. It is provided through a cloud service provider's hosted infrastructure with users most frequently accessing the offerings through a web browser. Users pay for PaaS on a per-use basis.

India

Designed and built a centralized data lake to enable business intelligence, analytics, and data science solutions. Lead systems implementations and detailed technical system design. Various BU’s requests are being catered to from the data lake and data platform. End to End design and development of data warehouse from on prem to cloud.• Participated in data integration, business intelligence (BI) and enterprise information management programs by rationalizing the data architecture to support reuse.• Worked with Data Engineers, DBAs as part of Database Design and Development• Developed and maintained Enterprise Data Models for Enterprise Class Data Initiatives• Analyzed and made recommendations for improvements to existing software regarding database performance, stability, usability, and scalability.• Analyzed existing data sources and identify opportunities for consolidation, integration, and standardization.• Performed data profiling and analysis to identify data quality issues and propose solutions to address them.• Developed and enforced data modeling standards and best practices.• Migrated the on-premises data onto data Lake on AWS. • Data marts designed on MYSQL and Visualization dashboards designed using Power BI. • Data governance and data security standards were implemented. using AWS Control Tower, AWS Well Architected tool. • 150 node Cluster with real time ingestion from various sources like NI, CRM, LMS etc. Approximate volume of 10TB per day with 2 years of data storage and processing capacity configured. • ETL designed on Databricks Python. Scheduled using Oozie and workflow manager. • ATM Cash forecasting - Involved in performing linear regression using Scala API and Spark. Spark Mlib and R were used for AI & ML analytics.

India

Client: Walgreens, USA 6/2015 to 9/2016Role: Solution ArchitectWalgreens specializes in filling prescriptions, health and wellness products, health information, and photo services. Walgreens has chosen to implement Oracle E-Business Suite (EBS) and OBIA, Oracle Business Intelligence Enterprise Edition (OBIEE) to replace the existing platform. The new Oracle EBS and OBIEE platform was implemented for the enterprise including all lines of businesses – Retail, WIRS, Health Care Clinics (Take Care), and Specialty. Implementation of Oracle Accounts Payable, Accounts Receivable, Purchasing, iProcurement, I Supplier, Project Costing, Assets, eBTax, AGIS, and shell of Inventory (from eProcurement project), and partial Cash Management, Full sunset of Lawson AP, GL, AR, and Billing.Walgreens Find Care allows certain healthcare providers that have contracted with Walgreens to advertise and provide information to consumers about their respective healthcare services. • Enhancement and modification to the prebuilt data warehouse schema, the Oracle Business Analytics Warehouse, with associated extract, transform, and load (Informatica) metadata and data-movement infrastructure to support aggregation and transformation for the analysis of data from all transactional sources.• Data model design for inclusion of additional components including consideration of data lineage.• A pre-built Oracle BI Applications metadata repository to support analysis of the data in the Oracle Business Analytics Warehouse.• Solution guidance to team on OBIA and Oracle modules.