Wang Sheng Pei Email & Phone Number
Who is Wang Sheng Pei? Overview
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Wang Sheng Pei is listed as Data Engineer at Fraym, a with 43 employees, based in Syracuse, New York, United States. AeroLeads shows a matched LinkedIn profile for Wang Sheng Pei.
Wang Sheng Pei previously worked as Postdoctoral Researcher at Syracuse University and Data Science Fellow at Insight Data Science. Wang Sheng Pei holds Doctor Of Philosophy - Phd, Ecology And Evolutionary Biology from Syracuse University.
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About Wang Sheng Pei
I'm passionate in discovering patterns in data and communicating data stories. My background is in bio-statistics, where data are messy. My experience in experimental design and hypothesis testing help me break complex problems into manageable tasks and tackle them rigorously. I'm also experienced in applying both standard machine learning techniques and deep learning approaches. - Skilled in the the end to end development of data products: from project design, data collection and wrangling, analysis, visualization, to products. - Experienced in data analysis, machine/deep learning, statistical inference, NLP- Languages: Python, R, SQL, JavaScript (D3), SAS, Octave- Collaborated in both small and large teams that resulted in publications, reports, and funding decisions
Listed skills include Collaborative Problem Solving, R, Git, Public Speaking, and 33 others.
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Wang Sheng Pei work experience
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Postdoctoral Researcher
● Analyzed experimental data using statistical methods including descriptive statistics, correlationtest, hierarchical modeling, model comparisons, and power analysis.● Created a custom simulation model implemented as a python package● Configured model parameters and validated model performances using data● Created workflows to automate data collection using image processing● Managed summer interns to conduct experimental and software development tasks effectively● Communicated results with a collaborative team using visualizations and presentations
Data Science Fellow
I developed a data product under tight time constraint and collaborated with other fellows in professional developments:➢ Analysed Kickstarter proposal information using NLP ➢ Predicted fundraising amount using transfer learning and ridge regression➢ Built web scraping tools to retrieve project information➢ Designed databases to efficiently store non-relational and relational data (MongoDB and PostgreSQL respectively)➢ Queried databases to retrieve and combine different sources of data ➢ Tested various machine learning pipelines to maximize model performance➢ Built and deployed an interactive web app for entrepreneurs to predict the amount a proposal would raise: sw-kickstart.herokuapp.com➢ Trained other fellows how to perform regularization through a workshop
Data Science Intern
I analyzed institutional data, maintained code-base and pioneered incorporating D3.js into the workflow of the Office of Institutional Research.➢ Developed an R template for D3 bubble charts with shared scales that's not supported by existing libraries: https://github.com/ShengpeiWang/Paneled_bubbles_R2D3_template➢ Wrangled and analyzed >3 million student, class, and institutional records➢ Evaluated effectiveness of an intervention using propensity score matching➢ Identified factors that influence student success using linear mixed models➢ Reported the results to the university leadership, resulting in the implementation of a tutoring program to improve student retentions➢ Reviewed and maintained a codebase that assembled key data tables
Doctoral Student & Research Assistant
I designed experiments, analyzed data, and published in peer-reviewed journals.➢ Led three research projects examining roles of phenotypic plasticity in novel environments using various statistical methods➢ Designed manipulative experiments to test research hypotheses➢ Quantified genetic variation in alcohol metabolism in fruit flies➢ Tracked evolution in physiological plasticity in brewer’s yeast➢ Communicated results through presentations at scientific conferences➢ Published findings in peer-reviewed journals➢ Collaborated with small and large research teams in carrying out experiments that resulted in publications➢ Coached undergraduate students to conduct independent research➢ Designed a database for central storage of all relevant data.➢ Prototyped and tested experimental setups for efficient manipulations of yeast cultures, saving costs and time for the team➢ Managed work-study students, ensuring high priority tasks were carried out in time
Volunteer Assistant
I participated in the end-to-end development of a data project at the the Office of Institutional Research. -- Teaming with a senior data scientist, we develop a data pipeline that queried, cleaned, and restructured 3 million student records.-- Using propensity score matching and linear models, we compared student performance and identified courses where students would benefit from receiving additional language tutoring. -- I helped identify intervention opportunities, which were reported to ENL program coordinators to increase undergraduate retention rates.
Predisdent Of The Graduate Council
I led the graduate council that represented over 150 student members of the society.➢ Led outreach efforts that connected >150 student members of Am Nat➢ Organized council meetings and coordinated member activities ➢ Coordinated with society leadership to ensure student representation➢ Collaborated with three committees to review grant proposals that resulted in allocations of over $17,000 of funding to student research grants and workshop funding➢ Contributed in editing the code of conduct for the Evolution meetings, which help create a safe environment for over 3000 meeting attendees
Student Researcher And Field Assistent
I studied how abundance of a native bee species changed over three years using meta-population modeling➢ Developed a statistical model describing the meta-population of squash bees in R, and parameterized the model with field observations.➢ Investigated whether squash bee (Peponapis pruinosa) population in California is viable in 2014 to inform future conservation effort.➢ Monitored population dynamics of squash bee (Peponapis pruinosa) and estimated their ecosystem service as pollinators by surveying floral resources and corresponding pollinator activities in farmland ecosystems. ➢ Quantified reproductive success of squash bee by excavating underground nests.
Colleagues at Fraym
Other employees you can reach at fraym.io. View company contacts for 43 employees →
Aubrey Zhang
Colleague at FraymProvo, Utah, United States
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Shanley Camara
Colleague at FraymAustin, Texas, United States
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Patrick Tucker
Colleague at FraymPortland, Oregon, United States
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Jyoti Schlesinger
Colleague at FraymWashington, District Of Columbia, United States
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Sean Walsh
Colleague at FraymSan Diego, California, United States
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Chengbi Liu
Colleague at FraymUnited States
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Sean Ng
Colleague at FraymChino Hills, California, United States
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Guillaume Martin
Colleague at FraymTaipei City, Taiwan, Province Of China
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Elijah Santiago
Colleague at FraymWashington Dc-Baltimore Area, United States
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Monika Saradha
Colleague at FraymMalvern, Pennsylvania, United States
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Wang Sheng Pei education
Doctor Of Philosophy - Phd, Ecology And Evolutionary Biology
Bachelor Of Science - Bs, Environmental Science And Management
Frequently asked questions about Wang Sheng Pei
Quick answers generated from the profile data available on this page.
What company does Wang Sheng Pei work for?
Wang Sheng Pei works for Fraym.
What is Wang Sheng Pei's role at Fraym?
Wang Sheng Pei is listed as Data Engineer at Fraym.
Where is Wang Sheng Pei based?
Wang Sheng Pei is based in Syracuse, New York, United States while working with Fraym.
What companies has Wang Sheng Pei worked for?
Wang Sheng Pei has worked for Fraym, Syracuse University, Insight Data Science, American Society Of Naturalists, and University Of California, Davis.
Who are Wang Sheng Pei's colleagues at Fraym?
Wang Sheng Pei's colleagues at Fraym include Aubrey Zhang, Shanley Camara, Patrick Tucker, Jyoti Schlesinger, and Sean Walsh.
How can I contact Wang Sheng Pei?
You can use AeroLeads to view verified contact signals for Wang Sheng Pei at Fraym, including work email, phone, and LinkedIn data when available.
What schools did Wang Sheng Pei attend?
Wang Sheng Pei holds Doctor Of Philosophy - Phd, Ecology And Evolutionary Biology from Syracuse University.
What skills is Wang Sheng Pei known for?
Wang Sheng Pei is listed with skills including Collaborative Problem Solving, R, Git, Public Speaking, General Linear Models, D3.Js, Statistical Inference, and Web Scraping.
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