Julian Zhan

Experience

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  National Cheng Kung University

  Jul 2019 - Jun 2020

  Research Assistant

  Optimized the Topological LSTM model for Diffusion Prediction by applying Self-Attention and Graph Neural Network techniques.Possess expertise in PyTorch, LSTM modeling, and Deep Learning techniques.

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  DeepInsight

  Mar 2022 - Apr 2023

  Data Scientist

  Designed and implemented a GPT-based algorithm for audience targeting and personalized marketing prompt generation to boost conversion rates by 100%.Designed and implemented a hierarchical time-series reconciliation model with XGBoost that outperformed human predictions by 10% in monthly forecasts.Boosted click-through rates by 50% by optimizing audience targeting through spatial data analysis.

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  AppWorks School

  Jun 2023 - Nov 2023

  Back End Developer

  Played a pivotal role in a multi-disciplinary team to integrate Scrum methodologies and managed team schedules, leading to the development of an AI-powered App and achieving first-place.Demonstrated high accountability and rapid learning by designing and implementing an independent project from scratch to production-readiness, acquiring and applying new skills within a 5-week timeframe.Proactively shared topics like Hash Tables, SQL, NoSQL, Kafka, Message Queues, and Dynamic Programming with 10 + colleagues. Show less