Finance · Data Analytics & BI · AI Product Ops
About
My path has been deliberately unconventional. I studied in Germany, completed an exchange program in California, and earned my MBA in Finance at San José State University, where my capstone project finished top of class.
Today I work as a Data Analyst, where I'm performing 38% above target. Whether I'm building a linear programming model to restructure a production network, a direct cash flow forecast from raw SAP data, or a Power BI dashboard for executive variance reviews, I gravitate toward problems where analytical rigor and strategic judgment intersect.
I'm a CFA Institute Scholarship recipient with a 4.0 GPA, and I've presented directly to executive leadership. I'm building toward a career in FP&A, data analytics, or BI, where precision matters.
Selected Experience
Meta · via Welo Data
Data Analyst - AI Product Data Operations
Jul 2026 – Present
IDEAS Club @ SJSU
Financial Analyst
Apr 2026 – Jun 2026 (3 months)
GuS glass + safety
Finance & Controlling
(FP&A) Intern
Mar 2025 – Aug 2025 (6 months)
Schulz Gebäudeservice
Business Analyst
Intern
Jul 2024 – Aug 2024 (2 months)
Hochschule Osnabrück
Investment Analyst
Contract
Feb 2024 – Jun 2024 (5 months)
Telekom
Direct Sales Associate
to Junior Sales Team Lead
Sep 2023 – May 2024 (9 months)
Lühmann Gruppe
Clerk
Part-time
Aug 2021 – Sep 2023 (2 years, 1 month)
Key Projects
The Group CFO needed a data-driven framework to evaluate the restructuring of global production capacity; no existing model was in place.
Architected an integrated model combining Activity-Based Costing, Linear Programming for capacity optimization, and ROI sensitivity analysis, layered with BPMN/EPC cross-functional process mapping.
Multi-country production network; integrated with UK subsidiary capital investment decision.
Outcome
$1.1M in projected annual savings. The model was published internally and used to initiate the capital investment.
No automated reporting infrastructure for executive variance analysis.
Built from scratch an ETL pipeline integrating 24 months of multi-source data, connected to a live Power BI dashboard with automated KPI variance reporting.
Outcome
Deployed to executive leadership; replaced manual reporting cycle entirely.
Global business unit required a structured liquidity forecast to manage working capital across entities.
Utilized SQL to extract AR/AP data from SAP, then engineered a Direct Cash Flow model to project liquidity positions and optimize working capital timing.
Outcome
Delivered actionable liquidity forecast used in CFO-level planning.
Work Samples
Revenue trend analysis, segment mix breakdown, and benchmark comparison across 2022–2024. Built with ETL integration and variance reporting for executive review.
Toolbox
Education
Master of Business Administration · Finance Track
San José State University
Aug 2026
B.A. International Business Administration · FP&A Track
University of Applied Sciences Osnabrück
Germany · Aug 2025
Exchange Semester · Strategic Management (Capstone)
California State University, East Bay
Aug–Dec 2024
Beyond the Work
A lot of what I learned didn't come from classes, but from being around people building things. I spent time in startup environments, listened to operators talk about real decisions, and watched a company grow from early idea to funding. At the same time, I started working on my own projects, small and imperfect, but real.
It made things less theoretical. You start to see how uncertain everything is, and how important it is to stay adaptable.
Plug and Play Tech Center
Inside of NVIDIA
Group Session with the Consciouss AI Team
Jump it. Space, tap, or click to play, dodging the drawdowns and stacking basis points.
While You Were Reading
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Open to FP&A, data analytics, and BI roles. Always glad to talk shop.