Qingbin Li
Majored in Computational Sci & Engr
Georgia Institute of Technology, Class of 2015
From Laizhou, China
Georgia Institute of Technology, Class of 2015
From Laizhou, China
Self motivated full stack data scientist with 3 years research and professional experience in data science, creative problem solver, collaborative and committed individual and team player.
E-mail: qingbinlee[at]gmail[dot]com
Specialities:
Analytics: understanding business problems and building data-driven solutions
Machine Learning: Regression, Classification, Clustering, Feature Selection, Model Selection/ Assessment, Recommendation
Data Mining & Information Retrieval
Natural Language Processing
Python Data Analysis: Numpy, Scipy, Pandas, Matplotlib, Scikit-learn, NLTK
Data Visualization: Tableau, D3.js, Matplotlib, ggplot
Software Development: working knowledge of Python, C/C++, Java, JavaScript
Big Data related techniques: Map-Reduce, Hadoop, HDFS, Hive, Pig, Amazon AWS, Spark
High Performance Computing
Programming Languages: Python, R, JAVA, SQL, C++, JavaScript, Scala, SAS, Matlab
Database: MySQL, SQL Server, SQLite, MongoDB
Follow Qingbin
Qingbin Li Receives Degree from Georgia Tech
Qingbin Li of Laizhou, China, has earned a Master of Science in Computational Science and Engineering from the Georgia Institute of Technology in Atlanta. Li was among approximately 2,700 undergra...
June, 10 2015 - Verified by Georgia Institute of Technology
Data Scientist at The Resumator
• Full stack data scientist.
• Extracted, manipulated, and merged existing databases to create analytical datasets.
• Designed, implemented and deployed state-of-the-art analytical models for understanding customer / user behavior, product usage
• Delivered analytical results with interactive UI through web applications.
• Automated analytical and modeling procedures with Python, R, SQL
• Worked with marketing team to provide data and analytical results for market report.
• Worked with product / feature team to evaluate product / feature usage, and guide product / feature decisions.
• Toolbox: Python (Numpy, Pandas, scikit-learn, Matplotlib), R, PHP, MySQL, D3.js
February 2015 - Present
