Loyalty and Personalization Program 

Project Details

  • The pilot had been rolled out & the client team was at 2.5% of the total completion of the initiative & didn’t have the people & expertise to accomplish their timeline goals
  • Collaborated with the business & led a team of advanced Data Engineers to design, build, test, productionalize & support the Front Store Personalization Engine
  • Designed a highly scalable & extensible Big Data platform that enabled industrializing collection, storage, modeling & analysis of massive data sets from heterogeneous channels

Business Outcomes

  • Caught up to the initial lagging project timeline by quickly building out applications & pipelines & establishing modern DevOps & release processes to speed up development cycles
  • Resulted in increased revenue & an improved curated & personalized customer experience

Enterprise Data Lake

Project Details

  • Created an enterprise staging environment by enabling interfaces to new medical device software
  • Architected & developed a data pipeline to move data from raw zone into conformed catalog entities
  • Created user reporting environment to enable access to the newly created Data Lake
  • Managed & forecasted storage & hardware requirements to make recommendation for the smooth transition into daily operations
  • Created continuous integration, delivery & deployment (CICD) process to the integrated data pipeline changes based on modifications to the medical devices

Business Outcomes

  • Creation of Data Lake to host enterprise data enabled the client to study the behavior of its medical equipment & make necessary changes to improve their functionality
  • Improvement in devices reflected in increase device revenue by over 15%

Big Data & Machine Learning

Project Details

  • Developed prototypes & proof of concepts for the selected solutions & implemented complex Big Data projects
  • Collaboration with architecture design, data modeling & implement Big Data platforms & analytic applications
  • The solution included a DevOps approach to enable Big Data, batch, & real-time analytical solutions leveraging emerging technologies

Business Outcomes

  • Designed & implemented end-to-end solutions using ML, optimization & other advanced computer science technologies & live deployments

Data Migration

Project Details

  • Redesign & resolution of the product hierarchy discrepancies by working with the business & user base to confirm items within the category & sub-category challenged areas
  • Design & architect the data staging environment for incoming artificial intelligence (AI) & existing data in the ePBCS application
  • Marrying AI & user data to get the data sets to a common granularity
  • Integrate ePBCS Cloud application by designing & creating data pipelines
  • Validate the current ePBCS KPIs with predicted model KPIs

Business Outcomes

  • User predictions became aligned & AI budget predictions were over 80% accurate
  • Fully functional & reliable AI prediction models with user prediction accuracy improved by learning the prediction techniques

Digital Platform & Connectivity

Project Details

  • Collaboration with client teams to understand the current state & project requirements from product management groups, assess the optimal data solution, produce artifacts & articulate project vision to other teams
  • Develop conceptual & logical solutions for data acquisition, data models & pipelines
  • Provide technical guidance to client teams – data designers, engineers, & developers

Business Outcomes

  • Successfully performed a large data warehouse (Snowflake) implementation, addressed gaps in their existing technology stack, brought in new data sets & provided new data solutions for product development teams
  • Produced architecture & design artifacts