Michael Hopf, Artificial Intelligence Developer in Düsseldorf, Germany
Michael Hopf

Artificial Intelligence Developer in Düsseldorf, Germany

Member since May 3, 2022
Michael is a specialized consultant working on DS projects, especially in the logistics and manufacturing sectors. He's worked on various supply chain optimization projects improving logistics for heavy industry clients like rail, vessels, and mining. He's worked with advanced AI projects involving object detection and NLP. Michael has a PhD in mathematical optimization and was a management consultant in the analytics practice of McKinsey & Company, currently Quantum Black, for four years.
Michael is now available for hire

Portfolio

  • Freelancer
    Python, Excel 365, SAP, SAP BW, TM1, SQL, Microsoft Power BI, Scikit-learn...
  • Freelancer
    Python, Natural Language Processing (NLP), AWS Lambda, Docker, Deep Learning...
  • McKinsey & Company
    Python, Amazon Web Services (AWS), Excel 365, GitHub, Microsoft PowerPoint...

Experience

Location

Düsseldorf, Germany

Availability

Part-time

Preferred Environment

Windows, PyCharm, Microsoft PowerPoint, Excel VBA, Excel 365, Jupyter Notebook, Python, GitHub, Amazon Web Services (AWS), Azure

The most amazing...

...solution I've developed is a train scheduling software for a large coal mining company in Canada with complex product mixing constraints.

Employment

  • Data Science Consultant

    2022 - 2022
    Freelancer
    • Restructured processes to estimate raw material prices and create forecasts for the third-largest printing color producer in the world.
    • Developed a new analytically driven process to select a subset of raw materials for manual price forecast by experts.
    • Created a method for landed cost simulation to incorporate transport cost and duty cost into business calculations.
    • Improved communications between different departments of the company by redefining ways of interactions.
    Technologies: Python, Excel 365, SAP, SAP BW, TM1, SQL, Microsoft Power BI, Scikit-learn, NumPy, Pandas, Forecasting, Time Series Analysis, XGBoost, Power Query, Snowflake, Linear Optimization, Algorithms, Supply Chain Management, Supply Chain Optimization
  • Lead Data Scientist

    2021 - 2022
    Freelancer
    • Worked for a US startup that develops software for analyzing remote meeting calls like Zoom with AI methods.
    • Developed an NLP algorithm to detect questions of different types in conversations and their corresponding answers.
    • Built an NLP algorithm to track custom-defined topics in sales conversations.
    • Developed an NLP algorithm to segment transcribed conversations into semantically connecting sections.
    Technologies: Python, Natural Language Processing (NLP), AWS Lambda, Docker, Deep Learning, Machine Learning, Scikit-learn, NumPy, Pandas, CTO, Text Analytics, BERT, Amazon Web Services (AWS), Databases, Data Engineering, Startup Consulting, Linear Optimization, Algorithms
  • Specialist in Data Science

    2018 - 2022
    McKinsey & Company
    • Created a network strategy for a global logistics player leading a small team to develop a strategy to combine postal and parcel networks in a novel way.
    • Optimized underground rail network system for a platinum mine in South Africa and increased trammed material by 10%.
    • Led a team of three data scientists in an analytics engagement to maximize the gas throughput of a gas platform in the North Sea, which led to a 2% increase in production.
    • Optimized domestic US shipping for global oil and gas clients for the US Gulf barges market.
    • Optimized throughput for an agriculture client at the biggest plant in Europe for oil extraction of soy and canola beans.
    • Optimized a rail network for a large Canadian mining company being the lead data scientist of two teams with more than 15 data scientists and developers involved.
    • Developed algorithms for the next best action recommendations for digital marketing strategies for a global pharmaceutical client.
    • Developed AI image recognition solutions for automated pothole detection for a large construction company.
    Technologies: Python, Amazon Web Services (AWS), Excel 365, GitHub, Microsoft PowerPoint, PyCharm, Jupyter Notebook, Azure, Computer Vision, Natural Language Processing (NLP), Machine Learning, Data Analysis, Data Analytics, Artificial Intelligence (AI), TensorFlow, Amazon S3 (AWS S3), Amazon EC2, Object Detection, Image Processing, Scrum, Scikit-learn, NumPy, Pandas, XGBoost, Microsoft Excel, Power Pivot, Data Visualization, Clustering, Neural Networks, Sensor Data, JSON, ETL, Time Series, Tableau, Convolutional Neural Networks, Business Analysis, Statistical Modeling, Dashboards, Predictive Modeling, Statistics, REST APIs, Technology Consulting, Advisory, R, Azure Cognitive Services, OpenCV, Computer Vision Algorithms, Linear Optimization, Algorithms, OR-Tools, Supply Chain Management, Supply Chain Optimization
  • Research Assistant

    2014 - 2017
    Universitay of Kaiserslautern
    • Worked as a research assistant in the optimization research group.
    • Gave lectures and tutored in nonlinear optimization, and supervised master's theses.
    • Founded the optimization elite group to guide exceptional students towards a PhD.
    Technologies: Optimization, Nonlinear Optimization, Scheduling, Packaging, Research
  • Intern

    2014 - 2014
    DZ Privatbank
    • Worked in the treasury department as a foreign exchange trader.
    • Performed over-the-counter (OTC) trading and validation of foreign exchange (FX) swaps.
    • Developed and programmed VBA macros for the automated processing of transactions.
    Technologies: Treasury, Trading, Forex Trading, Forex Trading Room, Forex Analysis
  • Intern

    2013 - 2013
    Krankenhaus der Barmherzigen Brüder
    • Developed a tool for the analysis of clinical pathways in Visual Basic.
    • Analyzed patient waiting times and equipment idle times.
    • Contributed to staff planning and quality management.
    Technologies: Visual Basic, Excel VBA, Excel 365

Experience

  • Optimization of Coal Supply Chain

    We optimized a large Canadian mining company's supply chain.

    From mine to port, supporting a $1 billion investment for a new port. I was the lead data scientist of two teams with more than 15 data scientists and developers involved in managing the development of two planning tools that used optimization algorithms to determine the best train schedules, port schedules, and coal product blending.

    In particular, product blending (mixing) became apparent as a significant impact lever with considerable opportunities to optimize mixing rules on components or essay qualities.

    The final solution was a dashboard where the rail planners received recommendations on which schedule achieves the greatest throughput and why.

  • Optimization of Underground Rail

    We diagnosed and optimized an underground supply chain from blasting faces to hoists of a large South African platinum mining company.

    We improved battery changing strategies and reduced loco congestion to increase the trammed material by 10%. I was the lead data scientist for the development of the planning tool and managed the implementation of change management for the loco crews underground.

  • Optimization of Postal Network

    We created a new network strategy for a global logistics player to deal with the exploding eCommerce demand during the COVID-19 crisis.

    I led a small team, and we developed a strategy to combine and utilize both post and parcel networks in a novel way. We tested the approach with an analytics network model and convinced the CEO to implement the new strategies.

  • Supply Chain Optimization Using Python and Mathematical Modeling (Publication)
    Improving supply chains is a top priority worldwide. Discover how mathematical optimization and Python coding can help keep a complex supply chain competitive.

Skills

  • Languages

    Excel VBA, Python, Visual Basic, SQL, R, Snowflake
  • Libraries/APIs

    Scikit-learn, NumPy, Pandas, XGBoost, TensorFlow, OpenCV, REST APIs, Azure Cognitive Services
  • Tools

    Microsoft PowerPoint, GitHub, Gurobi, Microsoft Excel, PyCharm, Microsoft Power BI, TM1, MATLAB, Power Pivot, Power Query, Tableau
  • Paradigms

    Data Science, Scrum, ETL, Linear Programming
  • Platforms

    Jupyter Notebook, Windows, Azure, AWS Lambda, Docker, Amazon EC2, Amazon Web Services (AWS)
  • Other

    Excel 365, Optimization, Integer Programming, Mathematical Optimization, Natural Language Processing (NLP), Nonlinear Optimization, Packaging, Treasury, Logistics, Last Mile Logistics, Mathematics, Applied Mathematics, Networks, Machine Learning, Deep Learning, Computer Vision, Artificial Intelligence (AI), Data Analysis, Data Analytics, Neural Networks, Text Analytics, Convolutional Neural Networks, Predictive Modeling, Technology Consulting, Advisory, Startup Consulting, Linear Optimization, Algorithms, OR-Tools, Supply Chain Management, Supply Chain Optimization, Forex Trading, Graphs, Object Detection, Image Processing, Forecasting, Time Series Analysis, BERT, Time Series, Business Analysis, Statistical Modeling, Dashboards, Statistics, Computer Vision Algorithms, Recommendation Systems, SAP, SAP BW, Scheduling, Research, Trading, Forex Trading Room, Forex Analysis, Philosophy, Data Visualization, Clustering, Sensor Data, CTO, Data Engineering
  • Storage

    JSON, Amazon S3 (AWS S3), Databases

Education

  • PhD in Mathematics
    2014 - 2017
    University of Kaiserslautern - Kaiserslautern, Germany
  • Master's Degree in Mathematics and Computer Science
    2012 - 2013
    University of Kaiserslautern - Kaiserslautern, Germany
  • Master's Degree in Mathematics and Computer Science
    2011 - 2011
    University of Singapore - Singapore, Singapore

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