Data Science Analyst

Irene Haiping Yuan

850-***-**** Tallahassee, FL (open to relocate) **********@*****.*** Residency: LPR EDUCATION

Master of Data Science – Scientific Computing (GPA:3.7) 01/2022-12/ 2023 Florida State University, Tallahassee, FL, awarded Graduate Scholarship WORK EXPERIENCE

Online Data analyst Telus international AI-Data Solutions Remote 02/2024-present Applied data science methodologies and techniques, contributing to the enhancement of digital maps utilized by a global user base

Utilized advanced analytical skills to conduct research and evaluation tasks, ensuring the accuracy, relevance, and quality of data utilized in digital mapping projects Demonstrated proficiency in data analysis tools and techniques, including the ability to interpret and analyze diverse data types (text, images, audio, video, and geo) across multiple languages and dialects Associate Manager Fusion Buffet Suwannee Inc, Live Oak, FL 09/2020-11/2021 &05/2023-08/2023 Maintained customer service (complaints) and managed order platforms (store website, Uber, Grubhub) Monitored 12 workers’ performance and submitted store revenue reports and credit card and cash reports daily and finished financial report monthly

Conducted Revenue Optimization Project for its Delivery Restaurant Utilized the POS system and API to obtain all order records, set up scaling metrics from scratch, and increased 11% revenue from online order platform by Markov Chain to analyze user’s order pattern Employed Tableau for data visualization and generated a statistical report and customer behavior similarity analysis for decision-making

Achieved a 3.3% monthly revenue increase compared to historical records COURSE PROJECTS/PROJECTS

Short-term Stock Market prediction 01/2021-12/2023 Utilized Pandas to fetch 10k stock data with 12 features from Yahoo Finance to make a selected stock list Implemented SVM, XGBoost, and time series models on one specific stock to inform live-trading decisions Developed an LSTM model with feature engineering (Polarizing, Calculating Fluctuation Percentage, max-min scaling, RFE, PCA) achieving an 89% accuracy rate and explored TFT model (Updated 12/2023) Fraudulent Email Detection 08/2022-12/2022

Conducted comprehensive data cleaning, including HTML tag removal, punctuation, stop words,lowercasing, and tokenization, analyzing 5k email features and established a basic NLP pipeline Implemented SVM, Naive Bayes, and Random Forest models, achieving a 98% accuracy rate. Centaline Rental Property Price Analysis and Forecast 05/2021-08/2021 Utilized API calls to gather 6097 entries with 9 features, employing Google BigQuery and SQL for efficient data storage and queries

Exploring patterns and removed correlations and outliers in the dataset, implemented one-hot encoding to handle categorical data

Developed various linear models, such as OLS, WLS, Robust Regression, LASSO, and Ridge, achieving an RMSE on the test set of less than 0.105 (as of 08/2022).

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