Beschreibung

Data is only useful if someone can actually read it and act on it.

I work with businesses and teams across industries to get their data working properly. That means structuring messy data, replacing manual reporting processes with clean digital systems, building dashboards that decision-makers actually use, and turning numbers into insights that drive real outcomes.

Over the past 5+ years I’ve worked across corporate reporting, business intelligence, and R&D digitalization — building Tableau infrastructure used by company leadership at CGI, and managing a 6-month AI digitalization project at Evonik coordinating researchers, biochemists, and senior management.

Branchenexpertise

Sprachen

Englisch
Muttersprachlich oder zweisprachig
Deutsch
Grundkenntnisse

Arbeitsortpräferenzen

Vor Ort möglich

Berlin (bis zu 50 km)

Evonik Operations GmbH
Biosurfactants Project Manager Intern
September 2024 - März 2025 (6 Monate)
Steinau an der Straße, HE, Germany
Owned the end-to-end project roadmap for an AI-powered R&D digitalisation tool, from requirements gathering through to production-ready delivery within a 6-month timeline. Conducted structured requirements gathering across diverse stakeholder groups including management, biochemists, and technical teams, translating domain specific needs into actionable data and system requirements. Structured and standardised R&D experimental datasets to meet AI integration requirements, resolving data quality and consistency issues that had previously blocked automation. Coordinated cross-functional project planning across management, researchers, and technical stakeholders, ensuring alignment on roadmap objectives and delivery milestones.
CGI Information Systems and Management Consultants Pvt Ltd
Developer
Mai 2019 - Dezember 2023 (4 Jahre und 7 Monate)
Bengaluru, Karnataka, India
Built Tableau reporting infrastructure from scratch, establishing data tracking, processing pipelines, and visualisation standards across multiple business units. Resolved live report performance issues resulting in an 80% improvement in load times, directly improving the speed of stakeholder decision-making. Designed advanced interactive dashboards using Tableau calculations, parameters, and dynamic filters, enabling self-serve analytics for non-technical business users. Connected and modelled data across SQL databases and Excel into unified Tableau data layers, enabling consistent reporting across previously siloed datasets.