11.10.2023 aktualisiert

**** ******** ****
100 % verfügbar

Senior Data Analyst / Senior Data Scientist / Team Lead

Berlin, Deutschland
Weltweit
PhD in Astrophysics; MS in Astrophysics; Bachelor in Physics (UAM, Madrid); Coursera Deep Learning (Online Certificate) & Coursera Machine Learning (Online Certificate) by Standford University
Berlin, Deutschland
Weltweit
PhD in Astrophysics; MS in Astrophysics; Bachelor in Physics (UAM, Madrid); Coursera Deep Learning (Online Certificate) & Coursera Machine Learning (Online Certificate) by Standford University

Profilanlagen

DrJavierCasado_Aug2023_EN.pdf
DrJavierCasado_Aug2023_DE.pdf

Skills

Knowledge
  • Broad scientific education, data expert, skilled problem solver
  • 15+ years of experience solving problems based on data insights
  • 10+ years experience in modelling and algorithm design
General Roles / Duties
Data Expert (Analyst, consultant), Data Scientist, Data Engineer, AI - ML Engineer, Algorithm Designer, Data Visualization, BI Analyst

Tools
Python (Pandas, Numpy, scipy, Matplotlib, Plotly, Postgres,
scikit-learn, TensorFlow), Docker, Bash, SQL Databases, MSQL, PostgreSQL Cloud (AWS, Azure) OS (Ubuntu, MacOS)
Agile work (Bitbucket, Gitlab, PyCharm, Scrum, JIRA, Confluence, SharePoint, Trello, MS Office 365)

Miscellaneous
Scientific writing, disemination sessions. Good communicator

Sprachen

DeutschgutEnglischverhandlungssicherFranzösischGrundkenntnisseSpanischMuttersprache

Projekthistorie

Team Lead / Requirement Engineer / Lead Data Scientist

ECB - T-Systems

Telekommunikation

5000-10.000 Mitarbeiter

Team Lead of a team of Python developers (10) for a Migration project.
  • Conducting daily rituals as Team Lead (Scrum Master)
  • Onboarding and reviewing duties
  • Preparation of new tasks. Requirement engineer. Collection of requirements from Clients
  • Development of some of such tasks myself (expert Python Developer)

Lead Data Scientist - Data Analyst - BI Analyst

Automotive industry (client confidential)

Automobil und Fahrzeugbau

>10.000 Mitarbeiter

Project excerpt
  • Lead Data Scientist – posing data driven decisions
  • Data Analyst - ensuring data completion and health
  • Model and constraint design – Factory digital twin
  • Data visualization – live feedback of factory model
  • Data Simulation – simulation of factory data flow
  • BI Analyst – Direct contact to factory for business requirement collection
Technologies Python, Python Libraries(Pandas, Numpy, scipy, Sklearn, Seaborn, Matplotlib, Dash & Plotly), Postgres
​​​​​​​ Infrastructure AWS Cloud, Ubuntu, MacOS

Manager - Data Consultant (Data Science | Data Analyst | Algorithm Designer)

MHP Management- und IT-Beratung GmbH

Automobil und Fahrzeugbau

1000-5000 Mitarbeiter

  • Technical lead and developer of innovative Data science, Machine learning and IT projects and products.
  • Subject matter expert for data driven topics: Data Science, Data Analysis, Data Modeling and AI solutions.
  • Training and management of new employees both in a leading and mentoring function.
  • Responsible for customer relationships in IT projects: disseminations sesions, workshops and trainings.

Zertifikate

Practical Data Science on the AWS Cloud

AWS - Deeplearning.AI

2023

Natural Language Processing with Classification and Vector Spaces

Coursera

2023

Distributed Computing with Spark SQL

Coursera

2023

AWS Cloud Technical Essentials

Coursera

2021

DeepLearning.AI TensorFlow Developer Specialization

Coursera

2020

Sequences, Time Series and Prediction

Coursera

2020

Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

Coursera

2020

Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

Coursera

2020

Databases and SQL for Data Science with Python

Coursera

2020

Convolutional Neural Networks in TensorFlow

Coursera

2020

Natural Language Processing in TensorFlow

Coursera

2020

DeepLearning.AI TensorFlow Developer Specialization

Coursera

2020

Neural Networks and Deep Learning

Coursera

2019

Machine Learning

Coursera

2018


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