Shreyas Raghavan

Technical Architect

PayPal•  August 2021 - Present

· Designing robust, sustainable, accurate and scalable Risk Intelligence data architecture that supports business requirements and provides for expansion · Create/write logics to identify fraudlent transactions at source. · Collaborate with cross functional teams to understand the business requirements necessary to deliver data solutions · Analyze , develop and monitor production code and help develop robust error handling and communication in addition to data quality/anomaly detection · Define, capture and document metadata and rules associated with ETL processes · Create data architecture designs to accommodate data volume, frequency, and long-term growth requirements · Plan/Participate and implement the development of architectures, strategies, and policies around data governance; including master data management, metadata management, data quality and data profiling · Improve operational processes relative to efficiency and effectiveness; provide input and organizational context to major architectural designs to ensure consistency, maintainability and flexibility with respect to overall system, technical and product architecture within a domain or portfolio. · Analyzes highly complex system and technical issues to implement technologies that align with strategic technical direction.

Senior Data Scientist

Dun & Bradstreet Data Services and Technology•  June 2018 - August 2021

D&B Technologies is subsidary company of D&B and mainly responsible for providing analytics and technology services to Dun & Bradstreet (D&B) and its clients globally. D&B are responsible for building analytical models for Credit fraud detection , Credit risk analysis/Prediction , Sales analytics and Supply chain management. Shreyas leads a team of Data Scientist for Analytics studio. https://www.dnb.com/solutions/analytics/analytics-sandbox.html 1. Lead the team for development of Credit/Risk solution for go-to markets. 2. Delegating the task to other Junior Data Scientists in order to realize the successful completion of projects. 3. Planning Development/Model lifecycle 4. Selecting and employing advanced statistical procedures to obtain actionable insights.

Birla Institute of Technology and Science

Data Science, M.Tech•  November 2019 - February 2022

WILP - Program due to Covid program got delayed by few months.