Duke Wang

Experience

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  Western & Southern Financial Group

  Jun 2020 - Aug 2020

  Application Developer/Programmer Intern

  • Drove impactful contributions to the IT Commissions team by actively participating in the entire software development lifecycle. Crafted, tested, and refined robust .NET C# code within an Agile/Kanban framework, facilitating efficient and agile project progression.• Adroitly harnessed the power of PL/SQL and W&S databases to engineer two mission-critical applications. Developed an ATS Import Application, a versatile tool designed to seamlessly extract and report the real-time status of W&S insurance holders. • Spearheaded the creation of an ASK Program, a sophisticated solution empowering comprehensive insight into the producing status of W&S employees. Show less

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  Dr. Huaming Shen, Merck & Co. Inc.

  May 2023 - Aug 2023

  Assistant Researcher

  • Collaborated closely with Dr. Huaming Shen to conduct comprehensive market research on the global skincare market and utilized the insights gathered to develop engaging and informative presentations.• Assisted in the formulation of research strategies and methodologies to collect relevant data, resulting in a well-rounded understanding of the competitive landscape and growth opportunities within the skincare market.• Conducted in-depth competitor analysis to identify strengths, weaknesses, opportunities, and threats, aiding in the development of effective marketing strategies. Show less

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  Dr. Zheng Peng, Pacific Northwest National Laboratory

  Jul 2023 - Sept 2023

  Research Intern

  • Studied and researched various topics including algorithms, machine learning, high performance computing and computer parallel programming under the guidance of Dr. Peng.• Used vectorization to implement multiple linear regression in Python code, as well as logistic regression for binary classification.• Used feature scaling, feature engineering, and polynomial regression to improve model training. Addressed overfitting using regularization to improve model performance.