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Victor Cutilla

Data analytics consultant
  • Suggested rate
    On-demand
  • Experience8-15 years
  • Response rate100%
  • Response time1 hour
The project will begin once you accept Victor's quote.
Location and workplace preferences
Location
Zurich, Switzerland
Remote only
Primarily works remotely
Verifications
Verified email
Languages
Categories
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Skill set (13)
Experience
  • Merck KGaA
    Project Delivery Manager - Data Engineer
    August 2021 - Today (3 years and 10 months)
    Darmstadt, Germany
    - Part of the advanced analytics team that owned the MCloud data lake
    -Project delivery manager (technical lead), in charge of technically managing projects end to end
    -Data Engineer, development of data pipelines
    -Business requirements gathering
    -Creation of URS, FRS and technical documentation
    -Ingestion of different data sources (manufacturing data, laboratory data, control data, etc.) into the corporate data lake
    -Development of analytics data models in the corporate data lake
    -GxP Compliance
    -Migration of projects from OnPremise to Amazon AWS and Palatir Technology:
    -Hortonworks/Cloudera
    -AWS (migration from On Premise to AWS)
    -Palantir
    -Oozie
    -Sqoop
    -Atlas
    -Spark (Scala & Python)
    -Hive
    -Scikit Learn
    -Qlik Sense
    -Tableau
  • Grabit AI
    Data Scientist
    March 2021 - December 2021 (9 months)
    - Design and development of computer vision pipelines in retail industry
    -Yolo V3 and v4 for object detection
    -Nvidia Deepstream
    -Amazon EC2, S3, IOT, API Gateway, Lambda, DynamoDB
    -Python, Pyspark, C++
    -Nvidia Jetson Nano, Nvidia Jetson Xavier NX
  • Merck KGaA
    BI-Big Data-Advanced Analytics Project Delivery Manager - Technical Lead
    January 2019 - July 2020 (1 year and 6 months)
    Darmstadt, Germany
    - I was part of the advanced analytics team that owned the MCloud data lake
    -I was a project delivery manager (technical lead), in charge of technically managing projects end to end
    -Business requirements gathering
    -Creation of URS, FRS and technical documentation
    -Ingestion of different data sources (manufacturing data, laboratory data, control data, etc.) into the corporate data lake
    -Development of analytics data models in the corporate data lake
    -GxP Compliance Technology:
    -Hortonworks/Cloudera
    -Oozie
    -Sqoop
    -Atlas
    -Spark (Scala & Python)
    -Hive
    -Scikit Learn
    -Qlik Sense
    -Tableau
Recommendations
Education
  • Master of Data Science
    Nanodegree
    2021
    Data
  • Big Data specialization
    UC San Diego
    2023
    Big Data specialization
  • Built Intelligent Applications specialization
    University of Washington
    2023
    Built Intelligent Applications specialization
  • Master of Business
    THE JOHNS HOPKINS UNIVERSITY
    2023
    Master, Business Intelligence
  • ISCTE
    Instituto Universitário de Lisboa Universidad de Sevilla
    2001
    ISCTE