[My profile picture is generated by AI ^_^]I have a strong background in statistics and data science, with multiple certifications from Coursera and DataCamp, and skills in Python, R, SQL, AWS, TensorFlow, and more. I am passionate about solving data-driven problems across various fields, especially in the healthcare and finance sectors.I graduated from UC San Diego in 2022 with a double major in Cognitive Science and Probability and Statistics, and earned M.S. degree in Interdisciplinary Data Science at Duke University, where I received an academic scholarship for outstanding students. I have also worked as a research assistant, a laboratory assistant, an instructional apprentice/teaching assistant, and a data analyst intern, gaining valuable experience in data collection, documentation, analysis, and visualization. I am an ardent learner, a detail-oriented worker, and a collaborative team player, motivated by the opportunity to use my skills and knowledge to drive positive change in the world.Please reach out to me if you are any creative ideas ^_^ that we could implement collaboratively.
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Data Developer - Junior LevelLeovegas GroupDenver, Co, Us
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Data Developer - Junior LevelLeovegas Group Aug 2024 - PresentStockholm, Stockholm County, SeUnder MGMFormerly Tipico US, acquired by LeoVegas Group. -
Business Intelligence AnalystTipico - North America Jun 2024 - Aug 2024Hoboken, New Jersey, Us -
Data Engineer (Capstone Project)Dataoceans Aug 2023 - May 2024Alpharetta, Georgia, UsDUKE MIDS Capstone Project -
Genomic/Ai InternTenaya Therapeutics Jun 2023 - Mar 2024South San Francisco, California, Us- Conduct comprehensive literature reviews, identifying cutting-edge techniques for predicting sample classes through subgraph extraction.- Executed baseline models such as SVM, RF, Gradient Boosting, MLP, and FNN, achieving peak accuracy of approximately 98%.- [IN PROGRESS] Engaged in active collaboration with team members to troubleshoot issues and generate innovative concepts for integrating graph-based classification into the construction of gene regulatory networks, including class-specific subgraph extraction. -
Teaching AssistantDuke University Aug 2023 - Dec 2023Durham, North Carolina, UsData Engineering and Systems (IDS706) -
Synspot Package Development: Data Collection And DocumentationDuke University Aug 2022 - May 2023Durham, North Carolina, Us● Leveraged yfinance and quandl APIs to collect and save data as CSVs● Assisted in the development of the Synspot package, including the application of machine learning techniques and interactive plotting in data analysis● Wrote detailed and comprehensive documentation for the Synspot package, including instructions and explanations for various components and features● Collaborated with team members to drive the success of the Synspot project and ensure its smooth operation, including the seamless integration of data analysis and machine learning techniques.
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Building The Hirschey Lab WebsiteDuke University Dec 2022 - Feb 2023Durham, North Carolina, Us● Utilized the Quarto framework to rebuild the Lab website● Acquired basic knowledge of HTML and CSS to enhance the website's design and functionality● Maintained effective communication with the professor to ensure alignment with project goals and objectives● Continuously updated and improved the website as part of ongoing development efforts.
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Research AssistantSan Diego Va Medical Center Sep 2021 - Aug 2022Under Supervision of Dr. Catherine Ayer● Managed and evaluated a high volume of patient data to ensure accuracy and completeness● Contributed to team meetings and discussions with valuable insights and recommendations● Performed a wide range of tasks, including data entry and analysis, to support the smooth and efficient operation of the laboratory and assist the team in achieving their objectives -
Laboratory AssistantFertility Center In Ca Jul 2021 - Aug 2022● Performed standard operating procedures (SOPs) to check patients' freezing eggs and maintain regular communication with donors and patients on a weekly basis● Input daily patients' testing data and controlled data accurately into the system
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Instructional Apprenticeship (Ia) And GraderUc San Diego Sep 2020 - Jun 2022La Jolla, Ca, UsIA for COGS14B(Introduction to Statistical Analysis) and I will hold weekly office hours and lead weekly discussions. I will also grade student's labs and homework for FALL2020.IA for COGS18 in Winter 2021FA21:Grading students' homework, quizzes, and midterms in Intro. to Differential Equations classWI22: Grading Matlab homework for MATH20DSP22: MATH189 Data Analysis and Inference grader -
Data Analyst InternPrivate Asset Management Ltd In Shanghai Jul 2018 - Mar 2022● Conducted security and financial report analysis on a monthly basis ● Used web scraping techniques to collect and analyze weekly data from https://www.simuwang.com/Analyzed financial products and stocks in the secondary market, and summarized product advantages using Excel and Python libraries such as Pandas, Seaborn, and Matplotlib to strengthen analytical skills(Asset Under Management); $200-300M
Beibei D. Skills
Beibei D. Education Details
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Duke UniversityInterdisciplinary Data Science -
Uc San DiegoCognitive Science--Machine Learning And Neural Computation
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Uc San DiegoProbability And Statistics
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Crean Lutheran High School (Clhs)None
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Southwestern AcademyNone
Frequently Asked Questions about Beibei D.
What company does Beibei D. work for?
Beibei D. works for Leovegas Group
What is Beibei D.'s role at the current company?
Beibei D.'s current role is Data Developer - Junior Level.
What schools did Beibei D. attend?
Beibei D. attended Duke University, Uc San Diego, Uc San Diego, Crean Lutheran High School (Clhs), Southwestern Academy.
What skills is Beibei D. known for?
Beibei D. has skills like 非营利性志愿活动, Chinese Translation, Matlab, R (Programming Language, Food And Beverage, Data Analytics, Cognitive Science, Statistical Data Analysis, Recommender Systems, Data Structures, Latex, Microsoft Office.
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