Machine Learning

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Description

  • Our mission is to deliver solutions that empower our clients to make decisions that maximize performance we specialize in transforming business data into actionable information. By combining our experience in technology, business and industry best practices, We are well-positioned to deliver high-value, custom-tailored solutions that meet the unique business and technical requirements of our clients. Over the years we built an extensive knowledge base and created tangible value from raw data across diverse domains including Insurance, health-care, financial services, Security and Risk Management industries. We have the experience and academic background in Statistics, Data Mining and Machine Learning, Business Intelligence and Management Science. We have Expertise in scikit-learn, Panadas, SQL, Transact SQL, Olap, Business Objects, Crystal Reports complex tabular reports, SSRS, MS Access,Tableau, Cognos and Excel.In Machine Learning / Data Mining we are proficient in Feature Engineering in Python Pandas, Building models for Predictive Analytics in Scikit-Learn. We have Developed Models in Random Forests Classifier, Random Forest Repressor, K-Nearest Neighbors.In business Intelligence In Business Intelligence we have developed Health Care Management reporting for Physicians and clinics showing capture rates and ranking. Initiated Data-driven discoveries which include search, capture, storage, visualization, interpretation, and analysis of data facilitating top management to find insurance related meaningful trends in Drug Utilization, Overall Costs and Health Benefits to propose wellness programs.If you need to create new or modify existing / canned Crystal Reports, you can use our expertise to do the work. We will create and deliver your reports according to the schedule you provide. You can participate as much (or as little) as you like. Visit us at www.datascientist.cahttps://digital.sap.com/crystal-success-profile-kaleem-mian/
  • location

    Headquarters: , Redmond, Washington, United States

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  • Machine Learning phone

    Phone Number:

  • Machine Learning website

    Website: https://www.datamart.org

  • Machine Learning employees

    Employees:5

  • Machine Learning revenue

    Revenue:$1 - 10M

  • Machine Learning legal name

    Legal Name:Machine Learning

  • Machine Learning's Social Media

    Machine Learning linkedin
  • done Is this data correct?
  • |  NAICS Code: 518210  |

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Person level website identification

Manager, Consulting Services for Machine Learning

Sathyanath Lappasi

Manager, Consulting Services

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Buyer intent data, anonymous visitor identification, first party data integration backed by a massive contact database that will supercharge your sales team. Schedule a demo to learn more!

View Employees

Sathyanath Lappasi

Manager, Consulting Services

Kumar Sharma

Area Sales Marketing Manager

Frequently Asked Questions regarding Machine Learning

  • What is Machine Learning's official website?

    Machine Learning's official website is https://www.datamart.org

  • What is Machine Learning's Revenue?

    Machine Learning's revenue is $1 - 10M

  • What is Machine Learning's NAICS code?

    Machine Learning's NAICS code is 518210

  • How many employees are working in Machine Learning

    Machine Learning has 5 employees

  • What is Machine Learning's Industry?

    Machine Learning is in the industry of Information Services

  • Who is Machine Learning's Manager, Consulting Services?

    Machine Learning's Manager, Consulting Services is Sathyanath Lappasi

  • Who is Machine Learning's Area Sales Marketing Manager?

    Machine Learning's Area Sales Marketing Manager is Kumar Sharma

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