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Alicia Han

Data Scientist

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About Me

Driven and aspiring Data Scientist/Analyst who is currently pursuing a MS degree. With an unwavering passion for unraveling meaningful business insights from data. Armed with a deep understanding of Data Analytics techniques and a thirst for innovation, I am ready to make a lasting impact in the field of DS.

Experience

Forward Data lab

Graduate Research Assistant

Designed and implemented data pipeline for data cleaning, and applied Topic Modeling and Graph Database to identify topic-funding correlations, securing funding for a new lab proejct.

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Korea Land and Housing Corporation

Tableau Teaching Assistant

Provided hands-on guidance for mastering Tableau, and contributed to curriculum development by creating engaging tutorials, exercises, and case studies.

Financial Innovation & Analytics Lab

Research Assistant

Conducted a comparative analysis of return and sharp rate between existing methods and clustering techniques using Python, resulting 15% higher return rates

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Pething

Data Scientist

Developed a Recommendation System, leading 37% boost in sales , and45% boost in subscribers

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Machine Learning Lab

Research Assistant

Led the development of a recommendation system, enhancing user satisfaction by deriving personalized artist and songs recommendations. Analyzing relationships, centrality and graph theory to determine the optimalfit of songs to each user.

Education

University of Illinois Urbana-Champaign

August 2022 - December 2023

Master of Science in Industrial Engineering

Focusing on Advanced Analytics

Sejong University

March 2018 - August 2022

Bachelor of Science in Data Science

Projects

Cloud Native Scheduling

The project generates sample workflows and represents them as tree-structured graph networks. It prioritizes operations to minimize the total makespan, considering warm-up costs and constraints such as assignment to executors. Overall, it focuses on efficient scheduling of cloud-native assembly workflows, especially for large-scale scenarios.

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Stock Price Predictions

Win a 2nd award Designed an advanced predictive model for stock price movements using LSTM neural network, which significantly enhanced ability to forecast market trends.

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Predict Topics in Social App

By utilizing monthly future topic predictions, collaborated with the student council to create posts on those topics. This proactive approach resulted in 40% reduction in the number of questions and inquiries related to each topic.

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Skills

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