Top Senior Sas Developers - Nov 2017

Senior Full Stack Software Developer and R expert

I am 2010 graduate batch from Michigan State University having Bachelors degree in Mathematics. From then I have worked with a breadth of companies from software giant EBAY to a 1 year old startups. In EBAY, I have lead a team of 4 engineers. I have solid grasp of software engineering and worked with very interesting technologies.

Data Scientist and Python/R Developer

I enjoy working with interesting data sets. I mainly work in Python, but also with r. I do everything from web scraping to data wrangling, visualization, and predictive modeling. My background is mainly with electricity data but I don't discriminate.

10+ years experience with SAS (last 4 within application development). I'm an ex-SAS employee and a top contributor to the SAS tag on Stackoverflow.

SAS Expert

11+ years of extensive experience in SAS programming, Statistical Modelling, Business Analytics, Regulatory Reporting, Risk analytics, Scorecard application,Data migration and Data quality I do train people on SAS

15 years experienced SAS Developer

I'm an experienced SAS developer. I've been employed for top notch consulting companies as SAS UK, Business& Decision and Dunnhumby UK working in main IT Business transformation projects in Barclays, RBS, HBOS, Capital One, Astra Zenica, O2, Victor Chandler, Sainsbury and Tesco. I'm reliable and keen to deliver quality service. Please check my profile in Linkedin for a more detailed description of my skills and experience.

Experienced Data Engineering Manager

I am an experienced leader in data as a product, data engineering, governance, analytics and business intelligence, primarily in the insurance and finance technology spaces. A bulk of my experience is in the insurance industry, and as such, I specialize in some technologies common to the industry - SAS, Teradata and SQL of many flavors. I spent many years as a developer in these spaces and now manage and develop others.

Data Science Engineer

Specialties: I approach data science from a software engineering background and focus on building tools for creating features and predictive models with big data.

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