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@christinestraub
Membro desde 7 de junho de 2018
1 Recomendações

christinestraub

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Main Skills: Data Engineering, Neural Network, AI, Natural Language Processing, DevOps with Amzon AWS, Google App Engine, Azure Interesting Fields: - Web & Mobile Development - Machine Learning (tensorflow, keras) - Data engineering and Analytics - Software Architect and Engineering - NLP: Microsoft LUIS, IBM Watson, Google DialogFlow Programming Languages: - Java - C# - Python (pandas, numpy, spacy), Django/Flask - MEAN / MERN STACK - PHP(laravel,codeigniter, wordpress), javascript, angular - SQL (MySQL, PostgreSQL, T-SQL) - NoSQL (MongoDB, Datastore on Google Appengine, Amazon DynamoDB) App Development - Native Android and iOS - React Native, Electron apps Cloud Technologies: - Cloud Platform (AWS, Google Cloud, Azure)
$40 USD/hr
9 comentários
4.6
  • 78%Trabalhos concluídos
  • 100%No Orçamento
  • 79%Pontualmente
  • 13%Taxa de Recontratação

Portfólio

Comentários recentes

  • imagem de jfsimon1981 C++ Generic programming €110.00 EUR

    “Thanks Christine for your very good work. Perfect. Jean-François”

  • imagem de norman40 Wrapping a SOAP WSDL API in a Django REST API R6425.13 ZAR

    “It was truly a pleasure working with Christine. No ask was ever too big or too small. She always went the extra mile and always conducted business with compassion and professionalism. I would not think twice to hire and include Christine in any future projects that we have.”

  • imagem de vw8108490vw Project for Christine S. $800.00 USD

    “could improve communication skills”

  • imagem de DRMINGLE Stylize a React Application $25.00 USD

    “She has a get it done attitude. Very results driven.”

  • imagem de priteshpatel05 Project for Christine S. $50.00 USD

    “Doesn't respond. Doesn't do what is promised. Wasted a lot of time.”

  • imagem de DogwoodAZ Project for Christine S. $20.00 USD

    “Christine has been very helpful and great to work with. I will be working with her again.”

Experiência

Software Design Enginner (Big Data Software Engineering Intern)

Apr 2016 - Oct 2016 (6 months)

• Design and Implement a software that detects and shows anomalous spend of credit cards by performing a stream analysis of the data flowing through the data pipeline; show data visualization for the same • Implemented a scalable low-latency architecture leveraging a broad range of frameworks, such as Kafka, Zookeeper, Spark, HBase, HDFS, Flume, Spark Streaming, MapReduce and Impala.

Educação

Bachelor of Engineering (B.Eng.)

2012 - 2016 (4 years)

Verificações

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