Lana (Alan) Choi Email & Phone Number

Seoul, South Korea

Seoul, South Korea

Albuquerque, New Mexico, United States

- Developed and conducted Bayesian modeling to forecast and estimate the population projection of New Mexico at the different geographic levels using R- Evaluated the estimates produced from Bayesian modeling in comparison with the outputs from the previously used model and improved the accuracy of population projection

Albuquerque, New Mexico, United States

- Created a script to pull out the Census 2020 data through API key, and to visualize the growth rate at different geographic level using a Python GIS package- Found and analyzed census tracts which have distinct patterns and geographic borders changes- Collected and preprocessed data, and created regression models to determine which factor affects theundercounts of Hispanic communities in the 2020 Census using R

Paris, Île-De-France, France

• Created a data pipeline that automated data extraction, consolidation, and visualization processes using Python and SQL. These scripts reduced time spent on these processes by 80%• Generated dynamic map visualizations of critical minerals by water stress level using a Python GIS package• Drafted energy supply and demand sections for the IEA member countries’ In-Depth Reviews • Tracked energy policies and budgets of IEA member countries and updated the new inputs to the policy database using Access

Ulsan, South Korea

• Carried out segmentation analysis on household energy consumption patterns using Python by utilizing K-means algorithms to cluster by usage and entropy analysis to determine variability• Built LSTM models to forecast the energy demand in response to temperature changes• Synthesized structured and unstructured smart metering data with external factor data to develop new insights and visualizations• Initiated bi-weekly seminars for research teams to introduce data analysis methods and articles on energy efficiency • Generated status reports on big data platforms in Korea and provided background research reports on demand response programs and energy efficiency platforms with a focus in building energy management

Seoul, South Korea

• Received comprehensive training with applicable real-world exercises in SQL, R, Q-GIS, Python, and Design thinking.• Performed a complex shared parking service location analysis by applying multiple regression machine learning models - Background research - Descriptive analytics of data - Applied regression ML models (RandomForest, DecisionTree, XGBoost, GradientBoosting) - Visualization of the result using Q-GIS

Master'S Degree, Computational Social Science

Relevant courses: Data and Statistics 1& 2, Social Network Analysis, Discrete Choice Modeling, Agent-based modeling, Digital Strategies.

Master’S Degree - Study Abroad, Computer Science

Principles and Applications of AI | Text Mining and Sentiment Analysis | Machine Learning | Time Series Analysis

Bachelor'S Degree, Political Science And Diplomacy

Activities and Societies: Won 3rd prize at Seminar for Undergraduates of Political Science. Created and participated in the club.

Study Abroad Program

Winter School, Intensive Japanese Course