Peter D.

Experience

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  XPEC Entertainment Inc.

  Nov 2011 - Mar 2013

  Game Numerical Designer

  1. Develop quantitative model of economics for a SIM game2. Balance numerical setting including formula, ability, probability and etc.3. Develop simulation model of player behavior by VBA4. Increase monthly turnover by 23% through designing event campaign and improving user experience5. Increase efficiency on campaign setting by 50% through developing automatic program

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  RT MART International Limited

  Dec 2014 - Jul 2016

  Data Scientist

  1. Collaborated with the marketing department to apply data mining techniques, defining customer segments, optimizing marketing strategies, and developing a robust loyalty system.2. Engineered and implemented a self-trained classification model, achieving a 2.66 lift in campaign response rates and boosting revenue by 10%.3. Spearheaded the identification and monitoring of key performance indicators (KPIs) across the organization, providing actionable insights that enhanced business performance. Show less

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  Land Bank of Taiwan

  Dec 2016 - Aug 2018

  Data Scientist

  1. Led the development of a comprehensive big data ecosystem, integrating technologies such as Hadoop, data warehousing, R, and Tableau to support advanced analytics and machine learning applications.2. Analyzed customer behavior on websites and applications, utilizing dashboards for performance monitoring and implementing targeted push notifications to enhance user engagement.3. Engineered and implemented 10+ advanced web crawlers to optimize the extraction of open data sources, driving data-driven insights and machine learning model training. Show less

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  Mega International Commercial Bank Co., Ltd

  Aug 2018 - now

  1. Developed an automated machine learning framework for real-time model performance monitoring and issue resolution, boosting operational efficiency.2. Spearheaded an image recognition initiative, overseeing data collection, integration, model training, and deployment, achieving a classification accuracy of 99% and enhanced processing efficiency.3. Utilized hyper-parameter optimization to enhance model parameters, achieving a 5% accuracy increase in valuation models and a 300% reduction in training time.4. Engineered LLMs to cluster and analyze text data, driving better insights and decision-making across NLP tasks like classification and clustering.5. Achieved a 14x boost in processing speed by optimizing code with Rcpp, enhancing overall system performance. Show less

  • Data Engineer, Manager

    Mar 2022 - now

  • Data Scientist, Manager

    Aug 2018 - Mar 2022