Nova School of Business and Economics
Master of Science, Finance
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What sets me apart for AI training data work is that I am strong at turning unstructured inputs into consistent, decision ready outputs and I take quality seriously. Across my M&A and strategy internships, I repeatedly built structured analyses from messy information, documented clear conclusions, and worked with tight timelines and multiple stakeholders. I had to structure large amounts of qualitative and quantitative information with high accuracy, such as conducting 15+ expert interviews and synthesizing market insights at Simon-Kucher, and owning client facing CRM processes at Enpal where data integrity and clean input workflows were critical. I also bring solid technical fundamentals (Excel and Python) and a process mindset from operations work, which translates well to following detailed labeling guidelines, spotting edge cases, and continuously improving labeling consistency and throughput.
Laurenz L. hasn’t added any AI Training or Data Labeling experience to their OpenTrain profile yet.
Master of Science, Finance
Bachelor of Science, Business and Economics
Strategy Consulting Intern
Operations Working Student