Pengwei Cui

Experience

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  Beijing Quku Technology Co., Ltd.

  Jun 2015 - Aug 2015

  Developer Intern

  • Learned standard coding habits, participated in OOP, wrote and debugged 5000+ lines Python and C++ codes.• Designed and participated in the server development of program Dominating Game, including realizing the function of arena, check-in system and shortcut purchase.• Divided the module functions and confirmed the data structure and arithmetic realization of each module.

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  Hebei Financial Leasing Co., Ltd

  Jul 2016 - Aug 2016

  Financial Data Analytics Intern

  • Designed python and R scripts to analyze financial data, compute and visualize summary statistics of datasets.• Participated in financial cases of real estate companies and collected financial data and important news of each client. Wrote SQL scripts to construct queries from multiple database tables and summarized the queries result.• Analyzed the financial statements and status of companies by collaborating with risk control department.

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  Wuhan University

  Sept 2016 - Jun 2018

  • Co-wrote the research paper and paper published on ESEM2018• Applied Python to conduct web crawling and used key words to grab over 2000 advertisements• Screened and extracted valid data and applied R and Stata to conduct data statistics, data analysis for over 30000 data. • Learned some machine learning and neural network knowledge and used them into lighting forecasting.• Used Python to conduct web crawling in order to obtain cloud image data from the weather bureau’s official website.• Discussed the reasons for the existence of deviation on cloud image prediction results with partners and put forward improvement suggestions.

  • An Exploration of Requirements Engineer Jobs in Canada - Researcher

    Mar 2017 - Jun 2018

  • Building a Practice Model of Lightning Forecast based on Data Mining - Researcher

    Sept 2016 - Jun 2017
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  Galaxy Security Services

  Jan 2017 - Sept 2017

  Data Analytics Intern

  • Assisted in the design of company’ mobile App, designed and modified over 10 versions of prototypes by Axure.• Managed ETL (Extract, Transform, Load) of large data sets, resulting in successful system implementation.• Optimized 6 financial products by performing market investigation, data harvesting, data cleaning, and data analysis.• Conducted competitive products research, analyzed user demands and presented results in weekly meetings.• Cooperated with the R&D department and IT department on user demand, functional tests, and requirements tests. Show less

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  University of Michigan - School of Information

  May 2019 - Jul 2020

  Data Science Intern

  • Collaborated with the tech team to build the online platform for Master of Applied Data Science Program in Umich.• Designed and built autograder infrastructure for course assignments and debugged the autograder Docker image.• Conducted alpha, beta & A/B tests for online courses, built internal websites and held them on AWS S3 buckets.

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  University of Michigan

  Sept 2019 - Jul 2020

  • Oversaw a survey project at the University of Michigan, including data collection, processing and analysis.• Implemented regression models and decision tree algorithms to analyze collected data (Python, Stata).• Designed Python/Stata programs and Word/Excel Marcos for analyzing over 10-year data and generating reports, which saved up to 90% of the working hours. IOE 517: Game Theory • Coached graduate students by holding 1-on-1 office hours and group discussions sessions.• Designed homework and exams for a graduate leveled Game Theory course.

  • Quantitative Researcher

    May 2019 - Jul 2020

  • Graduate Student Instructor

    Sept 2019 - Dec 2019
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  ComboCurve

  Jun 2020 - Nov 2023

  Software Engineer

  Software Development● Served as a back-end developer, contributing to the design and implementation of enterprise-level web application● Architected, constructed, and deployed cloud functions to enhance the speed and efficiency of the company's data analytics tools, enabling rapid processing and analysis of user data.● Engineered APIs that reduced processing and analysis time for oil and gas production data from 1 million wells by 90%.● Enhanced the efficiency, accuracy, and scalability of the forecasting engine through design and optimization efforts.● Created and implemented unit tests for more than 20 applications to ensure quality assurance.● Possess extensive experience in Agile/Scrum software development life cycle and proficiency in CI/CD workflows. Data Engineering● Designed and built ETL pipelines for 100+ enterprise clients to generate technical reports and statistical analysis results. ● Conceptualize and implement scalable, automated, and user-friendly solutions for statistical analysis and prediction.● Designed queries to retrieve and combine data from MongoDB and BigQuery and improved query performance. ● Architected high-performance computing models to accelerate the analysis of 25k wells, reducing computational time● Established knowledge bases and scripts, flattening user learning curve and improving user experience. Data Science● Led cross-functional data science projects in developing statistical methods on customer data, responsible for designing experiments and conducting simulations to generate new data in support of analytic studies● Built predictive models and outlier detection algorithms by utilizing statistical models and machine learning techniques.● Conducted exploratory data analysis to enhance quality control processes and designed tools for statistical reporting.● Evaluated, compared, and developed statistical and machine learning models to forecast well production. Show less

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  Qualtrics

  Feb 2024 - now

  Software Engineer II