Daniel

WORK HISTORY

EDUCATION

ABOUT DANIEL

Hi Linkedin folks, I\'m Daniel, a Data Scientist II at DoorDash. Before DoorDash, I worked as a Sr. Data Scientist at Spotify on the Podcast Ads and Promotion. I got my Ph.D. in Economics and ML from the University of Calgary, Canada. If you are interested in my profile or my work, please don\'t hesitate to DM me. My main research field is Machine Learning & Applied Econometrics. My doctoral research experience involves study of individual consumption behavior with large volume of transaction data through the combination of Econometric causal inference skills with machine learning techniques. My research projects cover various topics, from demand forecasting for retail business and supply chain to predictive modelling and causal inference of the banking sector- Product and user-experience experiment (A/B testing), methodologies, tools, metrics and strategiesdesign experience to support product evaluation and decision making- Experienced in machine learning, deep learning, NLP, data visualization, data mining, machine learning, big data analysis, and sentiment analysis- Strong background in map, visual experience on maintaining, presenting, and processing large data sets in different format for communication needs- Strong theoretical and empirical background on simulation, quantitative analysis, statistical modelling and econometric estimation of casual inference. Language and Application Tools- Python, R, SQL, VBA, C, C++- Apach Spark, Airflow, Tableau, DataBricks, STATA, SAS- Cloud Service: MSAzure, AWS