Data Analyst Python

Li Wei (Dave) Yap

• *****@******.*** • 1-470-***-**** • Google scholar: shorturl.at/twAO5

• https://www.linkedin.com/in/li-wei-yap-6678b7164/ • https://github.com/daveyap1993/ Education

Georgia Institute of Technology, ISyE Atlanta, Ga

Candidate for MS in Statistics Aug 2019-Dec 2020 (Expected) National Chengchi University Taipei, Taiwan

BSc in Statistics. GPA:3.69/4. Certificate in Mathematical Finance Program Sep 2012-Jun 2016 Honors: Excellent Academic Performance Scholarship, Overseas Student Association Experience

United Parcel Service Atlanta, GA

Transportation Analytics Co-op June 2020 - Present

• Developed and optimized ground schedules algorithm to create earliest availability departure time feature to find optimal load routing solution for each load in UPS with Python, SQL

• Conducted small time-interval demand forecasting for UPS small packages network with machine learning methods

(Ensemble learning, Adaboost, Random forest, Extreme gradient boosting, Prophet, Holt-winters) in Python, SQL

• Research and develop KPI methods to evaluate the performance of UPS’s Network Planning Tools for ground, railroad and outside carrier’s schedules in Python and SQL

Asia Fusion Technology Co. Ltd Taipei, Taiwan

Data Analyst Oct 2018-Jul 2019

• Applied logistics regression, time series and survival analysis on clickstream data to find key features with low churn rate

• Conducted customer segmentation analysis to reach valuable consumers with clustering methods (K-means clustering, hierarchical clustering) in Python

• Built automated ETL data pipeline tools to fulfill data accuracy in Python, JavaScript and SQL

• Developed interactive visualization dashboards for executives to do efficient business decision in Rshiny, Tableau, SQL, Linux Crontab

Academia Sinica Taipei, Taiwan

Research Assistant- Data analyst to Dr Ta-Chien Chan Sep 2016-Sep 2018

• Created statistical methods (Generalized linear model, time series and distributed lag-nonlinear model) to measure air pollutants’ impact on morbidity such as acute diarrhea and cardiac arrest in R

• Conducted cohort study to extract important features on morbidity with LASSO and GEE in R

• Created interactive visualization dashboards for National Health database to measure regions medical resource allocation and patients’ behaviors in SAS and R

Skills

Programming Technologies: Python, R, SAS, SQL, Tableau, JavaScript, Git, Linux Languages: fluent in English, Mandarin, Malay

Courses: Statistical Machine Learning*, Regression Analysis*, Multivariate Data Analysis*, Theoretical Statistics*, Design of Experiment*, Computational Statistics*, Time Series Analysis, Data mining, Statistical Data analysis(* Graduated level course) Selected Projects (Graduated Level)

• “Applied ML(SVM, Random forest, boosting, CNN) with confusion matrix to detect credit card transaction fraud in Python”

• “Created automated machine learning pipelines with object-oriented programming concept for manufacturing fraud detection with Scikit learn API”

• “Applied Naïve Bayes classifier to tackle famous NLP Problem - ‘Federalist Papers problem’ in Python”

• “Predicted service faults on telecommunications networks with Random forest and Boosting in Python”

• “Predict performance and final standings of Premier League’s teams with hidden markov chain model in Python”

• “Handwritten digits classification with Bayes and KNN Classifier in Python”

• “Created User-based and item-based recommender systems for movies in Python”

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