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Letztes Update: 17.03.2023

Senior ML Engineer

Abschluss: M. Sc. International Economics
Stunden-/Tagessatz: anzeigen
Sprachkenntnisse: deutsch (Muttersprache) | englisch (verhandlungssicher) | französisch (gut) | spanisch (gut)

Schlagwörter

Business Development Python SQL Data Science

Dateianlagen

datawrk-michael-gramlich-cv_170323.pdf

Skills

SUMMARY:
ML engineer with +5 years industry experience. I speak the language of both business and tech.
Love doing outdoor sports (surfing, hiking, beach volleyball) improv theatre, and creating music.

WORK EXPERIENCE:
  • Business Development Trainee at EIBN
  • Data Scientist and Data Science Instructor at AT GmbH
  • Freelance Data Scientist/ ML Engineer
PRO SKILLS:
  • PYTHON
  • MLOPS
  • STATISTICAL ANALYSIS
  • GCP
  • SQL

Projekthistorie

01/2021 - 01/2022
Data Scientist/ ML Engineer
(Telekommunikation)

Project Goal: Work on internal ML platform and implementation of ML use cases

Contributions:
  • Refactor existing, prouctive ML model detecting anomalies in time series data of telecommunications towers
    • improved model performance by >30% (measured as f1-score)
  • Create ML model to detect erroneous phone contracts and bills
    • ML model is in production and classifies >50.000 new phone contracts weekly
Tools: Python, SK Learn, PySpark, Tableau, SQL, Hive, Hadoop, GitLab, Linux, PyCharm

07/2020 - 12/2020
Data Engineer/ Statistical Advisor

Project Goal: Create an automated ETL pipeline to update the Children's Rights Business Atlas (CRBA), which scores countries in terms of how well they uphold children's rights

Contributions:
  • Extract, transform and aggregate data from >200 sources (e.g. REST APIs, web scraping of static HTML sites)
  • Provide statistical consulting to aggregate >200 indicators into a sensible index score
Tools: Python (pandas, beautifulSoup, black, numpy, selenium, nltk, matplotlib, request), Docker, VS Code, GIT

11/2016 - 03/2017
Data Visualization Engineer/ Data Scientist
(Automobil und Fahrzeugbau)

Project Goal: Create of an interactive dashboard for the visualization of aftersales car parts

Contributions:
  • Build pipeline to extract data from various source systems (SQL)
  • Create dashboard which visualizes data about after sale car parts (e.g. stock and price data)
  • Include model to predict future demand of car parts
  • Used by >10 subject matters experts daily
Tools: QlikView, SSIS, SQL

Reisebereitschaft

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