Want to learn more about data science consulting services?
As part of Purdue Integrative Data Science Initiative (IDSI), Data Science Consulting Service will provide hands-on consulting support for data analysis and business analytics in all areas to overcome data science challenges arising in research, education, and business and organization management. Our consultants have advanced degrees and years of experience in deep machine learning, data mining, big data analysis, artificial intelligence, business analytics and computational statistics.
Data Science Consulting Service (DSCS) consultants aim to provide individualized consulting service to Purdue faculty, research staffs, students and industrial clients, offering hands-on consulting service on resolving their data science related questions. The consulting fee for Purdue faculty, staffs and students is covered by Integrative Data Science Initiative (ISDI) and Purdue College of Science for the year of 2019. We welcome Purdue faculty, research staffs, students, and industry clients to contact us directly to discuss their research with us.
Our staff of graduate students and faculty are available, by appointment, to help you with data science related issues.
Apply for Data Science consulting
We provide hands-on consulting service on data management, business analytics, high-performance data processing and the use of advanced data-science, machine learning, big data analysis, and artificial intelligence tools and methodologies to analyze client’s datasets. In particular, our expertise lies in:
Business analytics and business intelligence.
DSCS staff and consultants have expertise in using advanced statistical analysis, data mining, machine learning and artificial intelligence tools to explore the client’s data in support of data-driven decision-making.
Data and information management.
DSCS staff and consultants have experience in using advanced database and data processing tools to manage big, and unstructured data for analysis using a variety of scripting languages and tools.
Advanced methodology for data science.
DSCS staff and consultants have expertise in methodological aspects of data science including statistical data analysis, machine learning, artificial intelligence, uncertainty quantification, and sensitivity analyses.
DSCS staff and consultants have experience in data visualization, interpretation, and hypothesis-generating research.
High-performance data processing.
DSCS staff and consultants have expertise in optimization of code for data processing in CPU and GPU environment.
Grant proposal and manuscript preparation.
DSCS staff and consultants have expertise in reviewing the data analysis sections of grant proposals and manuscripts.
Guang Lin. Director of the DSCS and associate professor in the Department of Mathematics, Statistics and School of Mechanical Engineering
Location: MATH 410