Linqi Chen

Experience

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  BDO China-SHU LUN PAN Certified Public Accountants LLP

  Jul 2019 - Aug 2019

  Audit Assistant

  - Participated in the mid-year audit of Yuhetian Environmental Development Group Co., Ltd. with the team- Assisted in completing the calculation of the discounted cash flow of the loan, completed the customer’s annual audit work, and helped improve the efficiency of teamwork- Collected the decrease in bad loans to each branch of the company and the cause of abnormal conditions

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  Shenzhen DATANG Computer Co., ltd.

  Sept 2020 - Nov 2020

  Business Analytics Intern

  - Collaborated in refining sales plans through meticulous sales feedback collection and comprehensive market performance reviews. Employed data visualization tools such as Tableau to analyze sales trends and patterns.- Utilized statistical analysis techniques to optimize sales scopes and targets, offering decision-making support to relevant departments. Weekly market situation reports informed superiors, leading to responsive and agile strategies.- Responsible for sales forecast management and contributed to designated sales plans, resulting in an 8% increase in revenue from overseas online sales.- Pioneered innovative promotional initiatives utilizing A/B testing techniques to amplify platform engagement, resulting in a notable 15% surge in customer retention rates. Show less

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  Meta

  May 2021 - Jul 2021

  Extern

  - Completed 10 case studies with metrics, including # followers, # likes, video time, type, and reviews from different platforms to find inspiration for the industry- Cleaned data with Excel, performed math modeling, and visualized in charts to predict the rating to select the top 3 attractive influencers- Created communications strategy based on best practices for outreach, value propositions, and coordination processes for influencers- Summarized with case studies focusing on how companies within the industry utilized IG stories and Facebook Live to grow their brand Show less

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  Vinno Capital Co.

  Jul 2021 - Aug 2021

  Business Analytics Intern

  - Documented the company's strategic trajectory, product specifics, customer base, operational metrics, and founder's background, providing valuable insights for informed decision-making.- Orchestrated the collection of daily industry investment updates and structured financing data using web scraping to yield detailed industry analysis reports.- Utilized Excel & Python for a comprehensive start-up comparison, leveraging statistical regression models to assess the correlation between efficiency improvements and other factors such as technology barriers, team size, and so on. Show less

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  UC Irvine

  Jul 2021 - Jun 2023

  Undergraduate Research Assistant Leader, Economics Department
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  Global AI

  Jun 2023 - Aug 2023

  Data Analyst Intern

  - Employed Python to scrape merchant review data from Google, increasing the data collection efficiency by 15% and enhancing data organization through the implementation of keyword-based one-hot encoding.- Performed NLP-based sentiment analysis on scraped reviews to identify target merchants. Designed and implemented a relational SQL database to streamline client interactions through efficient data access and query capabilities.- Applied advanced analytical techniques like sparsity analysis, regression, and time-series modeling to predict stock trends. Visualized data using Tableau to deliver valuable insights to investors through descriptive and predictive reports. Show less

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  Global ESG Leadership Association

  Sept 2023 - May 2024

  Member of Global Development and Research Center
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  28ish

  May 2024 - Aug 2024

  Data Analyst Intern
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  Ryder System, Inc.

  Sept 2024 - Dec 2024

  Student Data Scientist

  Collaborated with Ryder’s Data Science team to develop a comprehensive machine learning solution focused on optimizing monthly maintenance cost forecasting. Key contributions include:- Conducted extensive exploratory data analysis using R and Python to uncover critical patterns and trends within maintenance cost data.- Designed, developed, and fine-tuned Time Series and Random Forest models, as well as ETS (Exponential Smoothing State Space Model) processes, to enhance forecast accuracy and adaptability to varying data patterns.- Created a user-friendly API interface that enables seamless access and interaction with cost projection results, empowering stakeholders to make data-driven decisions. Show less