lisali525 Goto Github PK

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Name: Caiwen Li

Type: User

Bio: Data Science: Less about the science, more about making sense of data.

Location: Las Vegas

README for Caiwen"Lisa" Li's Portfolio

Introduction

Welcome to my portfolio! I'm Caiwen (Lisa) Li, a Data Scientist and Applied Scientist with a passion for leveraging data to drive business insights. This README provides an overview of my background, skills, education, and professional experience.

About Me

Name: Caiwen (Lisa) Li
Email: [email protected]
LinkedIn: linkedin.com/in/licaiwen/

Overview

I am an experienced Data Scientist with a strong background in machine learning, report automation, and business intelligence. My expertise spans various industries, including technology, tourism, retail, and digital media marketing. I am skilled in statistics, modeling, coding languages, digital marketing, reporting tools, databases, and machine learning algorithms.

Education

Ph.D. in Data Science (Expected Graduation Year: 2025)
- Universiti Putra Malaysia, Kuala Lumpur, Malaysia
M.S. in Statistics (2016)
- Hainan Normal University, Hainan, China
B.S. in Applied Mathematics (2013)
- Hainan Normal University, Hainan, China

Publications

C. Li (2016), "The securities market indicator for crash warning simulation optimization." Journal of System Simulation, Beijing, China.
C. Li (2023), "Deep Learning-Based Recommendation System: Systematic Review and Classification," IEEE Access, vol. 11, pp. 113790-113835, 2023, doi: 10.1109/ACCESS.2023.3323353.

Special Courses

I have completed various courses in areas such as Functional Analysis, Topology, Measure Theory, Stochastic Analysis, Financial Mathematics, and more. Additionally, I attended statistics summer schools and earned certificates in e-learning programs related to machine learning and data science.

Certificates

Data Engineering with Google Cloud (Google Cloud, 2021)
IBM Data Science (IBM, 2020)
Advanced Google Analytics (Google, 2018)
Google Partners (Google, 2018)

Honors and Awards

IEEE CTSoc GOLD AWARD (Universiti Putra Malaysia, Nov 2022)
Innovation Scholarship (Hainan Province Ministry of Education, Nov 2010)
Challenge Cup Entrepreneurship Competition Bronze Medal Winner (China Ministry of Education Degrees and Graduate Education Development Center, Jul 2010)
Excellent Student Leader Award (Hainan Normal University, Jun 2010)

Professional Experience

Research Scientist at UPM (10/2022 – Present)

Conducting detailed summaries of articles on text mining techniques for recommendation systems.
Developing a recommendation framework, including offline pipelines, feature engineering, and user segmentation.

Data Scientist (Business Intelligence) at AWS (11/2021 – 9/2022)

Conducting in-depth data analysis to identify areas for business improvement at Amazon Web Service.
Utilizing machine-learning algorithms for product recommendations and marketing strategies.

Data Science Manager at BookXchange Inc. (4/2020 – 6/2021)

Leading data science projects and the development team to automate platform connections.
Providing pricing strategies and sales price forecasting for the sourcing and sales teams.

Data Science Manager at Zimmerman Advertising (7/2018 – 7/2019)

Utilizing Google and Adobe Analytics data to automate site performance reports.
Coordinating campaign-specific findings and recommendations for digital media campaigns.

Projects

I have worked on diverse projects, including customer insights, deal journey optimization, search engine optimization, automated reporting, forecasting, and recommendation engine development. Technologies used include AWS, Google Cloud Platform, R, Python, SQL, and various analytics and visualization tools.

Please refer to the Projects section in my GitHub repository for detailed information.

Contact

Feel free to reach out to me at [email protected]. I am open to collaboration and discussion on data science, machine learning, and related topics.

Thank you for visiting my portfolio!

Caiwen Li's Projects

academic-article-organizer-and-analyzer

This R script efficiently organizes and processes academic articles for citation analysis. It cleans file names, extracts and formats abstracts, and analyzes citations, streamlining the management of research documents.

basket-analysis-data-mining

This Market Basket Analysis project in Python/R offers a versatile solution for uncovering purchasing patterns from transactional data. Utilizing powerful libraries like pandas, sqlalchemy, and mlxtend, it's ideal for businesses seeking to enhance marketing strategies and boost sales through data-driven insights.

cruiseinsight-passenger-behavior-analytics

CruiseInsight is an analytics project aimed at deciphering passenger behavior in the cruise industry. It uses data processing, EDA, and Logistic Regression to predict passenger preferences and booking patterns. This project is vital for understanding customer dynamics and enhancing cruise booking experiences.

email-reporting-automation

Automate retail reporting emails in R using Outlook, sending daily/weekly reports to specified teams with attached files. Example emails and paths provided.

fasttrack-sales-forecaster

FastTrack Sales Forecaster leverages ARIMA models for advanced time series analysis in fast food sales. It efficiently predicts future trends from historical data, aiding in strategic planning and market analysis. This tool is essential for data-driven decision-making in the fast food industry.

feature-analysis-for-classification

This framework is a versatile toolkit for data analysis across domains, offering robust data processing, feature selection, predictive modeling, and visualization tools adaptable to various datasets.

feature-engineering-mean

"Aggregated Mean Calculator" in R efficiently computes feature weights by grouping data and calculating mean values, essential for predictive analytics and statistical modeling. Ideal for insightful data analysis.

icu-trends-forecasting-covid-19-impact-analysis

ICU Trends Forecasting is a Python-based project that uses ANN and LSTM models for predicting ICU admissions due to COVID-19, aiding healthcare planning with visual analysis tools.

inventory-reorder-analysis

Reorder Analysis is an R-based project for analyzing retail restocking needs. It processes sales, inventory, and SKU data, interfacing with SQL Server to inform reorder decisions.

lisali525

Config files for my GitHub profile.

loan-company-scorecard-project

The "Comprehensive Machine Learning Framework in R" is an all-inclusive toolkit for data preprocessing, WOE calculation, and model evaluation, designed for robust machine learning applications and equipped with cross-validation and extensibility features.

regression-analysis-weather

This R Markdown project conducts detailed weather-related sales analysis. It includes data loading, cleansing, integration of sales with weather data, trend analysis, and correlation studies, all wrapped in a modular, reusable code structure with comprehensive documentation and an MIT license.

retail-customer-segmentation-profile

Customer Profile & Shopping Behavior Analysis is an R-based project analyzing customer data from retail stores, focusing on segmentation, seasonal trends, and market behaviors.

retail-store-customer-sale-analysis

This R project conducts a comprehensive analysis of customer distances and sales for retail stores. Leveraging SQL server connectivity, it calculates distances, categorizes sales within specified radii, and outputs insightful data for retail business decision-making.