Data Scientist, Machine Learning, Data Mining. Started Dallas R Users Group. Eager to launch a Data Science product.
PhD student at UT Dallas, Quant Marketing Program. BTech (IIT) Kanpur.Founder non profit Shiksha Bodh(coverage in 3 national newspaper). Worked at Deloitte.
Finance professional with over 10 yrs experience with strong financial accounting and analytical skills having worked at top companies like Google and Intel
Computer Sci. Grad Looking for full-time opportunity
Analytics Engineer at Neiman Marcus. Strong background in statistics, machine learning, product recommendations and data visualization.
Vanderbilt '12 graduate- Mathematics and Organizational Development. Currently in an HR management rotation program; want to transition towards finance/ops.
Caltech Physics BS, UT Dallas Applied Cognition and Neuroscience MS. Strong research background. Worked at NASA's JPL and UT Southwestern Medical Center
Graduate in CS and Applied Cognitive Neuroscience
Looking for an exciting opportunity in a Start-up
Strong analytic and critical thinking skills, professionalism, leadership, public speaking, entrepreneur. Chess Master and youth trainer. UT Dallas 2008
I am a master student in computer science at UTD with more than 5 years’ extensive projects planning and developing experiences.
Graduate Student at University of Texas at Dallas; Seeking MS in CS with Thesis. Minor in Intelligent Systems. Graduate Teaching Assistant - Department of CS.
Financial Analyst Intern, Director of Recruitment for 3 Day Startup @ Creighton University and Alpha Kappa Psi, interested coding and design for mobile apps
Developed ETLs in Informatica, Macros in Excel, Requirements Analysis, Double major at TCU (BIS/Finance)
Founded @r7-solutions, @venturespur, @mann-diversified-services, @hyperalert, @manornet, @questia-media. Managing Partner @black-mesa-consulting-advisors
USC Economics; CitiGroup Tech Leadership Program; Private Equity Analyst.
UTDallas MS new grad, Image , Audio processing researcher . Developing Machine learning algorithms for affective computing