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As a Computer Science and Engineering student at EPFL, I combine strong foundations in programming, machine learning, and quantitative methods to solve real-world problems in data-driven environments, especially in tech and finance. As President and Head of Sales at Junior Entreprise EPFL, I led a team of 35+ and oversaw 90+ client projects. I personally generated CHF 430k+ in revenue through strategic client acquisition and delivery, optimized internal operations with KPI dashboards and automated onboarding tools, and managed 190+ contract revisions to align with client needs. These initiatives led to a 22% YoY revenue increase (CHF 320k → 390k), totaling CHF 500k+ during my tenure, while boosting client satisfaction by 50%. On the technical side, I’ve built machine learning models in PyTorch and Pandas, developed real-time systems in Java, and worked on distributed data pipelines. with hands-on experience across key frameworks like PyTorch, TensorFlow, Pandas, NumPy, and Spark. I'm especially drawn to roles that demand coding and analytical rigor in fields like ML, software engineering, and quantitative research. Outside work, I’m passionate about economic empowerment, horology, and lifelong learning through philosophy and history.
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