With a foundational passion for mathematics and a technical background in computer science, this candidate specializes in data science and operational research, aiming to generate significant value for clients. Currently pursuing a degree in Computer Engineering, their professional trajectory includes experience as a Data Scientist at LogComex, where they successfully migrated and automated legacy data pipelines, developed predictive regression models, and enhanced logistical efficiencies through advanced graph modeling. Previously at IBM, they analyzed customer behavior via graph theory, scraped web data for financial insights, and implemented real-time monitoring systems for safety improvements. Their academic pursuits are complemented by certifications in data science and educational contributions, demonstrating a commitment to excellence and continuous learning in the field.
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