About

Dr. Juan Camilo Orduz

Mathematician & Data Scientist

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I have a PhD and Master degree in Mathematics from Humboldt Universität zu Berlin under the supervision of Prof. Jochen Brüning. My graduate studies were supported by the Berlin Mathematical School. Here I share my experience. Before coming to Berlin I did two bachelor degrees: Mathematics and Physics at Universidad de los Andes.

My research interests are differential geometry, topology and geometric analysis, in particular variants of the Atiyah-Singer Index Theorem for singular spaces. Currently I’m working in topics around data analysis, statistics and machine learning.

I am also interested in education and knowledge sharing.


You can find the code associated with the blog posts on this GitHub repository.

Contact: juanitorduz@gmail.com


Curriculum Vitae

Work Experience

  • 01/04/2018-. Data Scientist, TD Reply GmbH, Berlin, Germany.

    • Sales forecast ARIMA + ML • Media Mix modeling and ROI optimization • Product lifecycles analysis • Social media text data mining: n-gram networks, topic modeling and time development • Social network analysis • Geolocation modeling • Scalable automatic data integration from various sources via APIs • Dynamic data visualization • Member of the ProBonoProData Team supporting and sharing knowledge with NPOs.
  • 01/07/2017-01/04/2018 Junior Data Scientist, TD Reply GmbH, Berlin, Germany.

  • 01/01/2017-30/06/2017 Trainee - Data Analyst, GoEuro, Berlin, Germany.

    • Integrate provider data from various sources into the search engine • Normalize and geo-reference data from different sources • Automate and define new tools to scale and increase efficiency for the data quality program.
  • 2014-2015 Student Representative, Berlin Mathematical School, Berlin, Germany.

  • 2008-2010 Teaching Assistant, Universidad de los Andes, Bogotá, Colombia.

    • Courses: Linear Algebra, Basic Physics II, Riemannian Geometry.

Volunteering Activities

Education

Languages

  • Spanish: Native proficiency.
  • English: Full professional proficiency.
  • German: Professional working proficiency.

Publications & Preprints

Notes & Expository Articles

Certificates

Data Analysis and Machine Learning

Deep Learning Specialization (Coursera) Tools: numpy, tensorflow, keras.

Applied Data Science with Python Specialization (Coursera) Tools: scipy, numpy, pandas, matplotlib, scikit-learn, nltk, networkX.

Statistical Analysis

Data Visualization

Programming

Functional Programming in Scala Specialization (Coursera)


Selected Talks and Events


Hobbies