Dee Dai-Daniels

Python-ing...

LLooking For Jobs in Data Science by using SAS/Python nltk,Pandas,Numpy,Scipy,Sklearn,GDAL/R-ex-T-MobileGex-GHC

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Natural Language Processing with Python org/book/ --This is my current playing book, it won't hurt if you read it for fun without playing...

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Text Mining with/without Machine Learning, more specific: Specialty by using NLTK as current project initialized by using SAS since 2009... Fact Analysis is a piece of cake in both SAS and R-fa()/R-Factanal() with great plots and options, but it takes extra effort to get the same thing done in Python suite. In the last 3 years, I have devoted my full time on learning Hadoop/HBase/Hive/Pig, majoring in Java core coding from Inverted Index calculations to hashMap look-up-table merging letting various sorting algorithm an mastering-must. Time flies when all learning is fun,so now I am ready to roll up my sleeves to work and contribute to your success. I'd been employed as Senior SAS programmer/statistician for 15 years. During my tenure, I have lead numerous projects from beginning to the end, and have hands-on data mining and statistical modeling experience. I have also trained many different levels of analysts, including: Machine Learning Scientists, Statisticians, Data Miners, Financial Analyst, and Business Analysts. My professional experience has given me the ability to brainstorm with various stakeholders, including executives, managers, and peers in order to plan, formalize, and execute business projects. I enjoy team-oriented environments where I can collaborate closely with my peers, and I am considered a positive, out-going person. I am confident that I am the best fit for any data engineering , data architecture for either BI or advanced analytical job , and look forward to being interviewed.