Description

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.

Industry field of expertise

Languages

English
Native or bilingual
German
Basic

Workplace preferences

Can work on-site

Berlin (up to 50km)

Evonik Operations GmbH
Biosurfactants Project Manager Intern
September 2024 - March 2025 (6 months)
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
May 2019 - December 2023 (4 years and 7 months)
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.