Yingshi Chen

EDUCATION

Cornell University | GPA: 3.71                                                                                                     Ithaca, NY

Master of Professional Studies in Data Science and Applied Statistics                                   May 2024

Selected Courses: Theory of Statistics, Multivariate Analysis, Data Mining & Machine Learning, Statistical Sampling, Linear Models with Matrices, Probability Models & Inference

Rutgers, the State University of New Jersey | GPA: 3.56                             New Brunswick, NJ

Major: Statistics, Minor: Mathematics, Human Resources Management                                 Jan 2023

Selected Courses: Regression Methods, Bayesian Data Anlys, Elem Diff Equations, Math Theory Prob,  Appld Multivar Anal, Compute&Graph Appstat, Intro Expt Design, Adv Calc For Engrng, Calc II Math/Phys, Statistics II, Intro Linear Algebra, Into Computer Sci, Multivariable Calc, Talent Acquisition, Developing Talent

 

PROFESSIONAL EXPERIENCE

Looper Developments, Inc | St. Louis, USA                                                        July 2024 - Present

Data Analyst

  • Responsible for cleaning and preparing survey data, conducting data analysis and visualization of tools in the education technology market, and overseeing the development of AI models for note-taking features.

  • Led the design and implementation of surveys involving 100 students and career advisors, producing insights that informed product development and improved user satisfaction.

  • Analyzed data visualization methods and trends in education technology, contributing to significant platform enhancements, ensuring alignment with technological advancements in education.

  • Developed interactive dashboards for an educational platform, incorporating features that helped students visualize their career trajectories and improved platform efficiency.

  • Authored a data collection manual and trained AI models for an AI-driven note-taking feature, improving accuracy.

  • Conducted research on existing educational platforms and analyzed competitor features to support product development and decision-making processes.

 

RESEARCH EXPERIENCE

Extended Global Healthcare Workforce Data Analysis, Cornell University                               Oct 2024

Independent Researcher (Advisor: Prof. Dana Yang)

  • Utilized simple linear regression and multivariate linear regression to identify the trends in the density of each healthcare professional in Australia between 2007 and 2019, combing with the Australian healthcare plan interpretation.

  • Identified statistically significant relationship between the year and the density of medical doctors, nurses and midwives, and dentists based on p-value.

Global Healthcare Workforce Data Analysis, Cornell University         Mar 2024 – May 2024

Research Collaborator (Advisor: Prof. Dana Yang)                                         

  • Cleaned and processed healthcare workforce datasets from 100+ countries (sourced from W.H.O.), enhancing data accuracy for doctors, nurses, midwives, dentists, and pharmacists for comprehensive analysis.

  • Developed an interactive global density map using R Shiny to visualize healthcare workforce trends over 12 years across 66 countries.

  • Contributed to a team effort in analyzing healthcare workforce availability, influencing public health policy discussions across continents, and producing a detailed report to support global public health planning.

Your Assistant of Employment Software, China                                             Feb 2022 - Oct 2022

  • Earned the Certificate of Computer Software Copyright Registration in October 2022 through the National Copyright Administration of the People's Republic of China (Application No. 2022R11L1889388).

  • Designed a platform for corporate users to manage online recruitment services, enabling users to amend, review, and certify enterprise-related information and operational settings. The platform allows users to post recruitment and job opportunities through a mobile interface.

  • Technical Innovation: Developed a user-friendly interface, optimizing response stability, speed, and security.

HR Management Project: Understanding KSAOs, Rutgers University Mar 2022 - Apr 2022

Researcher (Advisor: Prof. Joe McCune)

  • Developed a comprehensive set of situational, fit, and behavioral interview questions. Conducted an in-depth interview with a Quality Assurance Manager at LSG Sky Chefs to examine job responsibilities, KSAOs (Knowledge, Skills, Abilities, and Other characteristics), key skills, and company benefits.

  • Analyzed interview data and compared it to standardized occupational information from O*Net, identifying both alignments and discrepancies between real-world job demands and standardized occupational benchmarks.

  • Enhanced understanding of career preparation strategies, emphasizing the alignment of academic experiences with industry-specific competencies and the significance of understanding practical job requirements.

Sentiment Optimization on Social Networks                                                          Jun 2021 – Sep 2021

Supervisor: Prof. Shlomo Ta'asan, Department of Mathematical Sciences, Carnegie Mellon University                                                                         

  • Authored and published the research paper “Analysis of Sentiment Optimization on Social Networks based on Statistical Data,” accepted at the 2021 IEEE International Conference on Computer Science, Artificial Intelligence, and Electronic Engineering (CSAIEE). The paper contributed to discussions on social media analytics and the impact of technology on mental health.

  • Analyzed a dataset of 2,500 Twitter posts related to COVID-19, applying linear regression and stepwise selection in R to identify key predictors of negative emotions.

  • Identified significant correlations between social media activity and emotional responses, providing insights that informed guidelines for fostering more positive online interactions during the pandemic.

RELEVANT EXPERIENCE

Teeton Information Technology | Foshan, China                                                    Feb 2023 - Mar 2023

Information System Intern                                                                                                             

  • Collaborated with a team of 10 IT professionals to conduct comprehensive risk analyses and provide tailored recommendations for enhancing network security in Foshan’s public and private sectors.

  • Developed and implemented network security protocols and checklists in accordance with the Classified Protection of Cybersecurity 2.0 standards, improving system resilience and compliance.

  • Contributed to collaborative projects, including the Cybersecurity Classification and Grading Construction Guidelines for Industrial Enterprises in Foshan, which provided a framework to assist industrial enterprises in formulating effective and compliant network security strategies based on size and transformation stage.

Teeton Information Technology | Foshan, China                                                      Jun 2021 - Aug 2021

Information Systems Intern

  • Collaborated with the team to analyze the need for safety infrastructure in Guangdong, assessing the critical importance of network security within the region.

  • Conducted risk analysis and provided strategic recommendations for adjusting safety construction projects, tailored to the existing network structures of two confidential client companies.

TOP Training Co., Ltd | Foshan, China                                                                       Dec 2018 - Sep 2020

Teaching Assistant and Assistant Analyst

  • Provided individualized and small group instruction in English (speaking and listening) and mathematics to over 100 high school students, enhancing both academic performance and language proficiency.

  • Established and maintained consistent, positive communication with parents, fostering trust and transparency in student progress.

  • Mentored students beyond academic tutoring, offering guidance in personal and educational development.

  • Served as an assistant analyst, collaborating with the marketing team to apply data insights for targeted marketing campaigns, resulting in a 10% increase in student enrollment. Utilized data analysis to optimize marketing strategies and improve enrollment outcomes.

 

ADDITIONAL EXPERIENCE

ML Analytics for Predicting Future Stock Prices, Cornell University              Jan 2024 – May 2024

Capstone Collaborator (Advisor: Prof. Thomas J. Diciccio, Sponsor: James Damschroder, Portfolio THINKTANK)

  • Collaborated with Gravity Investments to leverage Temporal Fusion Transformer model and used Python to optimize the analytics system and identify bias in the existing system (Packages used: Pandas, NumPy, Matplotlib).

  • Co-led a team of six in analyzing the quality of trustworthiness and providing more reliable Stock Predictions; Helped Gravity Investments to make informed decisions and enhance investment strategies.

Predicting The Quality of Wine – ML Project, Cornell University                    Nov 2023 – Dec 2023

Research Collaborator (Advisor: Prof. Yang Ning)

  • Analyzed the test accuracy for the quality level of wine by evaluating multiple machine learning methods, such as LDA, QDA, Logistic Regression, and KNN, based on a dataset of 4,547 wine samples.

  • Collaborated with the team to conduct the research on the optimal model by comparing the test accuracy of each ML model.

Regression and Bivariate Normality, Rutgers University                                      Mar 2021 – Apr 2021

Research Collaborator (Advisor: Prof. Jack Mardekian)

  • Analyzed the regression relationships with data "esdcomp" in the faraway package in R.

  • Used R to conduct analysis of bivariate normality about the relationship between the variable of complaints and other variables such as visits, hours, residency, and revenue.

PUBLICATION

Chen, Y. (2021). Analysis of Sentiment Optimization on Social Networks Based on Statistical Data. In Proceedings of the IEEE International Conference on Computer Science, Artificial Intelligence, and Electronic Engineering (CSAIEE).

 

HONORS

  • College Honors: Cum Laude, Jan 2023

  • Deans List, Spring 2020

  • Deans List, Fall 2020

  • Deans List, Fall 2021

  • Deans List, Spring 2022

 

SKILLS & LANGUAGES

Data Analysis Skills:

  • Proficient in analyzing and interpreting complex datasets to support data-driven decision-making.

  • Extensive experience in data analysis within the education, healthcare, and social network research sectors.

  • Skilled in developing interactive dashboards and data visualizations using R Shiny and Tableau.

  • Strong foundation in experimental design, statistical methods, and probability models.

  • Technical proficiency: R, SAS, SQL, Tableau, Microsoft Office Suite.

  • Additional tools: LaTeX, MATLAB.

Research Skills:

  • Expertise in ensuring data integrity and accuracy for comprehensive analysis.

  • Experienced in designing and conducting experiments, utilizing methodologies such as surveys, interviews, workshops, and observations to inform strategic decisions.

  • Solid foundation on statistical theorems, applying statistical knowledge to conduct research.

  • Strong communication skills to present research findings to tech and non-tech audiences in both written and oral formats.

Additional Skills:

  • Content creator on Douyin (TikTok China) with over 85,000 views, showcasing skills in engaging digital communication and content creation.

  • Self-directed and solution-oriented with innovative approaches to cross-disciplinary challenges.

  • Collaborative team player with experience in cross-functional teams.

Languages:

  • English (Fluent)

  • Chinese (Native)