![](https://cdn.statically.io/img/i.sstatic.net/QXIjs.jpg?s=128&g=1)
Uncertain about survey plans, troubled in data cleaning, confused by model estimates, concerned with result interpretation, or struggling with plot beautification? I provide consulting services in data science and can solve your problems through all stages of quantitative research. Welcome to connect with me on LinkedIn https://www.linkedin.com/in/drjerrytao/ and schedule a free initial call at https://calendly.com/drjerrytao/data-science-consultation. Drawing from my expertise where data science, economic consulting, and transportation planning intersect, I am passionate about synthesizing state-of-the-art and novel techniques in data analytics and business intelligence.
A certified data scientist, I am proficient in data mining, pattern visualization, statistical modeling, machine learning, and geospatial analysis. Master's in Transportation Science from UC Irvine and alumnus at McGill & UW, I was a data analyst at Seattle DOT and an airport consultant. My projects have covered a variety of topics including causal inference, model development, variable importance, outcome prediction, price optimization, demand forecasting, system efficiency, customer satisfaction, and marketing effectiveness. I leverage sound economic theory, insightful research design, and advanced analytical techniques, such as permutation tests, bootstrap resampling, numerical simulation, parallel processing, time series, longitudinal-data analysis, discrete choice modeling, random forests, deep learning, and beyond. You can find example deliverables in my LinkedIn featured documents, which highlight my specialty of effective communication via professional writing, mathematical derivation, and uncertainty illustration.
- Certified data scientist proficient in data mining (ETL, API), machine learning (R, Python, H2O, XGBoost, scikit-learn), deep learning (Keras, TensorFlow, PyTorch), big data analytics (Hadoop, Spark), data visualization (Tableau, Power BI, Plotly, AutoCAD, TransCAD, SketchUp), statistical modeling (SPSS, EViews, Stata), and geospatial analysis (ArcGIS).
- Conversant with data science applications for demand forecasting, causal inference, customer survey, spatial and time series analysis, natural language processing (NLP), computer vision (CNN), recommender systems, fraud detection, permit review, social network analysis, Bayesian statistics, and system optimization.
- Experienced in economic theory, econometrics, transportation planning, travel demand management, agent-based modeling, discrete choice modeling, experimental design, grant application, and project presentation.
- Trained for software programming (VBA), database management (SQL, Hive, Access, Excel), cloud computing (AWS, Azure, Google Cloud Platform), and web application development (RStudio shiny, PHP).
- Multilingual: native Chinese (Mandarin), proficient English, semi-fluent French.
Cross Validated
Q&A for people interested in statistics, machine learning, data analysis, data mining, and data visualization
Stack Overflow
Q&A for professional and enthusiast programmers
Chinese Language
Q&A for students, teachers, and linguists wanting to discuss the finer points of the Chinese language
Bicycles
Q&A for people who build and repair bicycles, people who train cycling, or commute on bicycles
Mathematics
Q&A for people studying math at any level and professionals in related fields
Quantitative Finance
Q&A for finance professionals and academics
English Language & Usage
Q&A for linguists, etymologists, and serious English language enthusiasts
Meta Stack Exchange
Q&A for meta-discussion of the Stack Exchange family of Q&A websites
Data Science
Q&A for Data science professionals, Machine Learning specialists, and those interested in learning more about the field
Geographic Information Systems
Q&A for cartographers, geographers and GIS professionals
TeX - LaTeX
Q&A for users of TeX, LaTeX, ConTeXt, and related typesetting systems
Medical Sciences
Q&A for professionals in medical and allied health fields, students of those professions, related academics, and others with a sound understanding of medicine and healthcare-related sciences