Marco Jeffrey Pansa

Data Scientist at ALD Automotive Germany
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Contact Information
us****@****om
(386) 825-5501
Location
Greater Hamburg Area, DE

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Credentials

  • DeepLearning.AI TensorFlow Developer Specialization
    Coursera
    Oct, 2020
    - Sep, 2024
  • Deep Reinforcement Learning Nanodegree
    Udacity
    Jul, 2020
    - Sep, 2024
  • Machine Learning Engineer Nanodegree
    Udacity
    Apr, 2020
    - Sep, 2024
  • Deep Learning Specialization
    Coursera
    Mar, 2019
    - Sep, 2024
  • TensorFlow Developer Certificate
    Google
    Nov, 2020
    - Sep, 2024

Experience

  • ALD Automotive Germany
    • Germany
    • Financial Services
    • 1 - 100 Employee
    • Data Scientist
      • Jul 2022 - Present

      Building full-stack pricing systems for our remarketing: - data aggregation / selection / feature engineering (SQL, scitkit-learn, pandas) - model experimentation / performance tracking (catboost, XGBoost, mlflow) - building/serving containerised API solution (FastAPI, Docker, Kubernetes, Azure) - automation and quick iterations through dedicated python package development (Git) Building unique dashboard solutions for performance tracking (streamlit) Generating… Show more Building full-stack pricing systems for our remarketing: - data aggregation / selection / feature engineering (SQL, scitkit-learn, pandas) - model experimentation / performance tracking (catboost, XGBoost, mlflow) - building/serving containerised API solution (FastAPI, Docker, Kubernetes, Azure) - automation and quick iterations through dedicated python package development (Git) Building unique dashboard solutions for performance tracking (streamlit) Generating insights / reports for business stakeholders (SQL/ JupyterNBs (pandas, numpy etc.)) Show less Building full-stack pricing systems for our remarketing: - data aggregation / selection / feature engineering (SQL, scitkit-learn, pandas) - model experimentation / performance tracking (catboost, XGBoost, mlflow) - building/serving containerised API solution (FastAPI, Docker, Kubernetes, Azure) - automation and quick iterations through dedicated python package development (Git) Building unique dashboard solutions for performance tracking (streamlit) Generating… Show more Building full-stack pricing systems for our remarketing: - data aggregation / selection / feature engineering (SQL, scitkit-learn, pandas) - model experimentation / performance tracking (catboost, XGBoost, mlflow) - building/serving containerised API solution (FastAPI, Docker, Kubernetes, Azure) - automation and quick iterations through dedicated python package development (Git) Building unique dashboard solutions for performance tracking (streamlit) Generating insights / reports for business stakeholders (SQL/ JupyterNBs (pandas, numpy etc.)) Show less

  • Fraunhofer IIS
    • Germany
    • Research Services
    • 700 & Above Employee
    • Data Scientist
      • Oct 2021 - Jun 2022

      End-to-end ML (NLP) Workflows from data acquisition (scraping, external providers, customer data, public datasets), transformation, to model building/ training / finetuning / evaluating / visualizing tech: python, dataiku, pandas, numpy, pytorch, huggingface, transformers, sklearn

    • Remote Data Science HiWi
      • Jul 2021 - Oct 2021

      End-to-end ML (NLP) Workflows from data extraction (scraping), transformation, to model building/ training / finetuning / evaluating (python/pandas/numpy/pytorch/transformers/sklearn)

  • Technische Universität Clausthal
    • Germany
    • Research Services
    • 400 - 500 Employee
    • Student Researcher
      • Mar 2019 - Aug 2019

      reinforcement learning for autonomous systems, designing a digital twin concept for a model car to allow for real-time usage within simulations reinforcement learning for autonomous systems, designing a digital twin concept for a model car to allow for real-time usage within simulations

  • KAMAX
    • Poland
    • Renewable Energy Semiconductor Manufacturing
    • 1 - 100 Employee
    • Work Student
      • May 2015 - Oct 2016

      coordinating production flow for tempering processes, supply management for production materials, correspondence with external service providers coordinating production flow for tempering processes, supply management for production materials, correspondence with external service providers

Education

  • Technische Universität Clausthal (TU Clausthal, Clausthal University of Technology)
    Master of Science, Information Systems
    2018 - 2021
  • Sichuan University
    Exchange program
    2019 - 2020
  • Technische Universität Clausthal
    Bachelor of Science, Industrial Engineering

Community

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