Anqi Bu Email & Phone Number

Los Angeles, California, United States

• Tutored students in various academic programs, supervised progresses and provided feedbacks to facilitate students’ learning.• Provided enriching materials to engage students’ academic interests in Statistics, Probabilities and Programming.

California, United States

• Led the scraping team and collected contact info for 30,000 residences using Selenium from Python; Cleaned and transformed data into csv files for outreaching team to start researching on California counties’ heat pump preference.• Performed exploratory data analysis on the apartments’ heat pump data; Reduced future contacting time by modeling and predicting apartments’ responding sentiments using classification models.

San Diego, California, United States

• Worked as Teaching Assistant of Calculus for Science and Engineering; held discussions and office hours twice a week.• Supported student learning with instructional resources (study guides, assignments, grading rubrics), built skills with teaching strategies of teamwork.• Monitored students’ progress; identified issues and recommended resources to improve students’ work.

California, United States

• Used Python to explore customers’ business performances and revenue on 40 different certification websites.• Identified data patterns among websites, designed a semi-auto data pipeline with efficiency improvement by 60% for scraping; Cleaned and transformed data into csv files in cloud storage.• Explored the characteristics of the social good companies using k-means clustering analysis.• Analyzed these companies’ business performance trending using logistic regression; Analyzed feature importance and used data insights to identify potential customers with 15% growth.• Compiled data reporting during weekly meetings and discussed possible solutions to analytics requirements.

California, United States

• Collected, processed and transformed various data files using SQL to build relational tables in the database, and made data aggregation, cleaning, and variable transformation in the data pipeline, implemented data quality check. • Automated data collection and processing pipeline and improved code efficiency by reducing 93% of the processing time.• Applied data analysis in Python to find key indicators and variables for customer mortgage delinquency.• Built a random forest model with underwriting data to predict 90-day delinquency, and benchmarked with pervious logistic regression model output, performed 10-fold cross validation, the model prediction accuracy was 86%.

San Diego, California, United States

Graded assignments for students in Math department

Master'S Degree, Statistics, 3.7

Bachelor Of Science - Bs, Applied Mathematics, 3.7