Data Scientist

Objectives and Key Skills:
-Programming Languages: R, Python.
-Statistical Analysis: Pandas, Numpy, Statmodel, Scipy. -Visualization: R, Matplotlib, Seaborn.
-Databases and backend programming: SQL.
-GUI: Tableau, GIT.
-Machine learning: SKlearn

• Business Intelligence (BI)
• Data Science
• Maschinelles Lernen
• numpy
• Pandas DataFrame
• Python
• PyTorch
• R (Programmiersprache)
• Scikit-learn
• SQL

Practical work experience:
-Analysis of big data sets.
-Cleaning, manipulating and assessing datasets.
-Visualisations development and presentation.
-Using machine learning algorithms like decision trees.
-Data mining tool applications.
-Creating machine learning functions and tools for the automation of common tasks. -Creation of models to capture strong patterns on a data set.
-Coordinating our work with the work of the remote team.
-Developed Python modules for machine learning & predictive analytics.
-Analysed the data with Pandas and presented it using Matplotlib.

Programming Languages: R, Python.
-Statistical Analysis: Pandas, Numpy, Statmodel, Scipy. -Visualization: R, Matplotlib, Seaborn.
-Databases and backend programming: SQL.
-GUI’s: Tableau, GIT.
-Machine learning: SciKitlearn, Tensorflow.
-Deep learning and Neural networks: Pytorch.