Tathagata Ghosh

Data Engineer mit Fokus auf wissenschaftliche Datenmanagement-Lösungen. Bei HZDR entwickelte ich ETL-Pipelines und eine datengetriebene Architektur für das DRACO-Experiment (Laser-Teilchenbeschleunigung). Erfahrungen in MongoDB, MinIO, Ontologien, Wissensgraphen und FAIR-Prinzipien. Masterarbeit zum Thema „DRACO DataMaster“ erfolgreich abgeschlossen – kombinierte Datenengineering, Automatisierung und interaktive Visualisierung zur Unterstützung datengestützter Forschung in der Plasmaphysik.

• Assisted in creating Data Management Plans (DMPs) to enhance data structure, minimize data loss, and support funding applications. • Contributed to discussions advocating the adoption of appropriate data management tools. • Played a key role in redesigning and updating bilingual OVGU-RDM websites, optimizing content organization. • Ensured compliance with FAIR and CARE principles, legal regulations, and research ethics guidelines. Skills - Python, Docker, GitLab, HTML, CSS, JS, EGOTEC CMS, PHP

Utilized healthcare data for Project MIRACUM, standardizing documentation and supporting clinical research. Deployed software in the local environment and intranet, including FHIR server implementation and OMOP data model implementation for Medical Informatics students. Deep dive into healthcare databases for insights and automated ETL processes using Python script. Expertise in PostgreSQL for data transformation and proficiency in collecting, storing, and retrieving medical data for analysis and reporting.

Managed staff planning and scheduling using IEX NICE and Aspect WFM Scheduling for multiple lines of business, optimizing resources based on real-time trends. Coordinated with operational and support teams to plan non-productive time and monitor intraday reports. Conducted analysis of volume patterns and provided guidance in real-time to determine future staffing needs.

Addressed customer concerns over chats and emails, ensuring prompt and satisfactory resolution. Identified and resolved various frauds by analyzing reports as a part of Fraud Detection. Achieved daily targets for productivity and quality, delivering a WOW customer experience and ensuring high levels of customer satisfaction.