Machine Learning, data analytics

Adelyn Liu

Recent graduate with a Master's degree in Business Analytics and over two years of hands-on experience in data analytics, reporting, and data visualization across diverse industries, including insurance, staff agency, and e-commerce. Proficient in Python, Excel, Microsoft SQL Server, PostgreSQL, PowerBI, Tableau, and machine learning techniques. Demonstrated expertise in data modeling and implementing machine learning algorithms. Proven track record of driving sales performance through comprehensive marketing strategies and improving customer experience. Excels in translating complex machine learning concepts for non-technical audiences. *************@***.*** 202-***-**** LinkedIn

Data Scientist Intern 09/2023-12/2023

Designed and executed end-to-end data modeling and visualized processes from data cleansing to implementing machine learning techniques including EBM, XGB2, and PiML toolbox using Python in Google Colab to predict sales amount with key metrics

Developed and implemented a user-friendly predictive model, enhancing accessibility for clients with non-technical backgrounds and facilitating ease of use Translated benefits and cost of machine learning technology for non-technical audiences. Professional Experience

Master of Science: Business Analytics

George Washington University - Washington, DC

GWU Fellowship Award

Python, R, Excel, Google Analytics, IBM Cognos

Microsoft SQL Server, PostgreSQL

Bachelor of Science: Psychology

Kaohsiung Medical University - Taiwan

GPA: 3.71

12/2023

06/2020

Education

Skills

Arlington, VA 22202 Portfolio

Professional Summary

BOLT Staffing Service

Digital Strategy & Analytics Intern 06/2023-08/2023 Created PowerBI dashboards to present, explain, and monitor key performance indicators from complex user datasets across multiple digital channels

Conducted user behavior data analysis across web and mobile platforms using Excel and Cognos to assist with promotional campaigns

Applied text analysis to members' survey data using Qualtrics XM, gaining insights from user feedback, which contributed to a better understanding of the user journey and areas for improving user experience Excellus BlueCrossBlueShield

Manager 03/2017-01/2020

Developed standardized processes for logistics management and customer service, reducing operational costs by 20% through analysis of shipping data and customer behavior using Python Created business plans based on in-depth operational analysis using Excel and Python to validate expected operating goals and complex business requirements

Ursunmon Online Store

Business Intelligence: PowerBI, Tableau

Machine learning

Project Management

Customer Analytics in Retail: Analyzed customer purchase journey data from landing to checkout using Python and Excel,calculating retention and churn rates to inform decision-making and improve customer experience Course Project

DMV Area College Enrollment Analysis: Applied ETL skills using AWS EC2 and PostgreSQL queries to analyze enrollment and graduation data in the DMV area, presenting the analysis with data visualization in Python

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