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Shiyi Yue

Shiyi Yue

student

UC Davis

Technologies

My Portfolio Highlights

My New Track

Data Analyst

My New Course

Introduction to Python

Cognitive explorer, unraveling the mysteries of human-like AI.

My Work

Take a look at my latest work.

course

Introduction to R

course

Introduction to Python

course

Intermediate Python

DataCamp Course Completion

Take a look at all the courses I’ve completed on DataCamp.

My Work Experience

Where I've interned and worked during my career.

Fashom | Sep 2022 - Present

Data Scientist (Practicum Project)

• Conducted in-depth market research and collaborated with Shopify and domain experts to develop a comprehensive SWOT analysis, leading to actionable insights for the business. • Redesigned a clothing attribute image classification model processing over 100K images by utilizing transfer learning in TensorFlow, achieving an average improvement of 35% in accuracy per category. • Leveraged the power of AWS SageMaker and Google Cloud Vertex AI to launch and optimize the training job for the clothing attribute classification model, resulting in faster and more cost-effective model training. • Participated in building personalized recommendation algorithms for customers, using Market Basket Analysis and Apriori algorithm in Python, contributing to the successful launch of the app.
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PwC Mainland China and Hong Kong | Sep 2021 - Dec 2021

Business Analyst (PTA)

• Extracted, processed, and visualized 27K+ daily user engagement data from the client's website using SQL queries, Python, and Tableau to identify patterns and insights. • Employed Logistic Regression to the user engagement data, utilizing the significant features identified by Lasso Regression with business acumen to predict user conversion, achieving a 76% accuracy rate. • Developed an ARIMA model that utilized user engagement metrics to accurately forecast weekly conversions, achieving an 84% accuracy rate on the validation set. • Collaborated with the operational team to implement the developed model and targeted high-end customers, leading to an 8.3% increase in conversion from 10% to 18.3% within two months. • Communicated findings to non-technical stakeholders, presenting the business impact of the developed models while demonstrating excellent communication skills.

Founder Securities Co., Ltd. | Apr 2021 - Jul 2021

Industry Analyst Assistant

• Collected and cleaned up 327K+ FMCG (Fast Moving Consumer Goods) industry’s monthly sales data from 2017 to 2020 with Python’s data manipulation packages; made Exploratory Data Analysis to understand trends and seasonal patterns • Applied Porter’s Five Forces, PEST framework, and SWOT analysis to understand the development opportunity, the leading players, competitions, suppliers, buyers, and industry chains of the FMCG industry • Assisted two Senior Analysts to write 30-page of industry research reports, making graphs, and summarizing patterns; helped make slide decks and presented them to the manager

FANHUA Finance Insurance Service Group | Jan 2021 - Feb 2021

Financial Analyst

• Interpreted the results of the Marketing Mixed Model to understand the Return of Investment (ROI) of our marketing channels (Baidu Ads, WeChat Ads, out-of-home ads, flyers, and so on) • Made financial plans to better distribute budget on each channel by running an optimizing solver in Excel • Drew bar charts to visualize the ROI and presented plots together with budget plans to the Financial Manager, increasing 20% total ROI on the simulated dataset

My Education

Take a look at my formal education

Master of Science - MS, Business AnalyticsUniversity of California, Davis | 2023
Non-degree, Liberal Arts and Sciences/Liberal Studies  · (August 2021 - MayState University of New York College at Oswego | 2022
Bachelor's degree, Economic StatisticsSouthwest University of Political Science and Law | 2022

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