I finished my MS in Machine Learning at premier research institute of india IISc, Bangalore and won gold model for the best thesis and also a publication in rank one conference IJCAI. Over the last four years, I have developed information extraction and retrieval tools. I have experience in working with SVMs, Gaussian, Bayesian models. I have also worked on NLP tools for POS tagging, Parsing. I have experience of leading a machine learning a team of five people for 2&1/2 years. I also work as consultant with few top notch data mining and machine learning companies in India. I am also a good programmer on Ruby on Rails, Mongodb.
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15 years of experience as a researcher and consultant on machine learning problems (predictive analytics, regression, classification, scoring, feature extraction, dimensionality reduction, NLP). Neural Networks, SVM, RMB, Deep Learning. Experience on Python, R, Matlab, SQL, Weka. More than 50 papers published in international journals
Hello, I am a University teacher from Bangladesh, currently pursuing my PhD in USA. My research is the field of Data Mining, Machine Learning and Statistical analysis. I would like to work in those fields to gain some experience and make use of my free time.
I joined IBM T.J. Watson Research, Industry Solution group in Spring 2012. I worked as a J2EE software engineer from 2006 to 2008. I obtained a Ph.D of Computer Science from University of California, Los Angeles, with major in Machine Learning and minors in Artificial Intelligence and Data Mining. I have been awarded the Most Outstanding Ph.D Graduate Award, the Northrup-Grumman Outstanding Graduate Student Research Award, the Chancellor Award for Most Outstanding Applicants, all from Computer Science Department, UCLA and the Chinese Government Award for Outstanding Chinese Students Overseas, 2010. I am interested in developing efficient algorithms and machine learning techniques to solve real world problems. I am also interested in problems on combinatorial optimization, data mining and information retrieval. I had worked as a consultant for many start-ups on various projects and I have solid background on both research and development. My home page: www.cs.ucla.edu/~danhe
Over the last 14 years I have successfully architected and led a number of projects in key areas, including BI, Analytics, and Big Data, many of which applied machine learning. My value add to you is quickly grasping the essence of the problem and goal you wish to achieve then creating a clean structure to solve it. My communication skills, people skills, and intimate knowledge of the complexities of a wide variety of technologies will be applied for your benefit.
Am a software developer with three years experience in machine learning and data modelling. I can program in python,matlab,c ,java and Vb.net. My areas of expertise include predictive analysis using linear and logistic regression,Artificial neural networks including ( forward and back propagation). Am also experienced in unsupervised learning (classification problems) using support vector machines and k-means clustering. I have 2 years experience in data modelling using principal component analysis and feature mapping . I have an year's experience configuring and setting up AWS especially in amazon s3 ,cloudfront and Ec2 services.I also have more than 4 years setting and troubleshooting windows environments. I am a very dedicated and motivated person always seeking ways to improve and innovate solutions to everyday problems.
I have 7 years of experience in data analysis. I'm the Chief Data Scientist and founder of Cabaceo.com, a data science consulting company in Ann Arbor, Michigan, US. I also teach people how to do data science using the R programming language at www.MasterR.org, where you can receive high quality training materials for free. I used to work as an analytic consultant for FICO, where I built scorecard for Picture People to predict customer response rate to their marketing campaigns, which doubled their ROI. I also built customer segmentations for Canadian Tire Bank, which gave the executive team a holistic understanding of their customers for the first time and resulted in a chapter of a book. More recently, I have built a linear regression model to explain the relationship between interest rate of peer-to-peer loans and borrowers' characteristics using data from LendingClub, a two-level clustering-and-randomForest model to predict human physical activities using smartphone data, a logistic regression optimization based on precision and recall, a R-implementation of the cross-sectional regression and quintile-portfolio construction methods published in the Journal of Economic Literature. I have a masters degree in Biostatistics from the University of Michigan and a bachelor's degree in mathematics from New College of Florida. I'm an avid MOOC taker, constantly learning new techniques and tools in data science and machine learning. I took all the courses in data science, statistics and machine learning from Coursera, Udacity and Edx. I respond all my messages in less than 24 hours.
Expert in VBA/Excel/Visual Basic 6/SQL, interested in Cuda, Python. Have some C++ and ASM experience. I'll be glad to help with: Optimization and automating of business-processes. Developing of decision support systems, E-commerce systems, including data interchange between Ebay/Amazon/SmugMug/ custom CRM systems. Web scraping/crawling, automated retrieval of weakly-structured data. Implementing methods of artificial intelligence (expert systems, artificial neural networks, genetic algorithms),data mining. Natural language processing tasks (intellectual textual search, natural language generation, etc). Imitational modeling (especially financial models, gaming), prediction of complex systems. Distributed applications, high performance computing (scientific computations), cloud computing (Azure/Amazon). Software reverse engineering.