My name's Schlaak,
Pascal Schlaak.
I'm a 27 year old James Bond enthusiast and Data Scientist with more than 3 years of experience in automotive. Here are things I've learned over the last few years:
Languages
Python, Java, C, JavaScript, HTML, CSS, SQL, MQL, Cypher, Dart
Libraries & Frameworks
PySpark, Pandas, NumPy, Statsmodels, Scikit-learn, Tensorflow, MLFlow, Hyperopt, SpaCy, Django, Dash, Plotly, OpenCV, Flutter
Tools & Plattforms
Git, Databricks, Jupyter Notebook, PowerBI, Azure, AWS, GCP, Firebase, Flutter, Docker, Linux
Resume
Through a bit of luck and hard work, I have already had the pleasure of working in some great companies. Altough I have gainged a lot of experience in automotive production, I'm always looking for a new adventure!
Porsche
Mercedes-Benz
Mercedes-Benz
Mercedes-Benz
CADflex
Aalen University
BMW
BMW
Daimler
Aalen University
Mapal Dr. Kress
Schubart Gymnasium
Technikforum
Data Analyst
Okt. 2024 - today, Stuttgart
- In temporary employment via Hays Professional Solutions GmbH.
- TBA
Data Scientist
Jul. 2022 - Jun. 2024, Sindelfingen
- In temporary employment via Hays Professional Solutions GmbH.
- Development of a data pipeline with PySpark to analyze IIoT data in PowerBI.
- Development of an ML-based predictive maintenance solution for prediction of disruptions in production with PySpark and MLflow.
- Supported further projects with regard to data provision and preparation.
- Supported with administrative tasks in Azure and Databricks.
Master student
Nov. 2021 - June 2022, Sindelfingen
- Exploring an XAI methodology for the explainability of multivariate time series in manufacturing.
- Evaluation of the methodology on the basis of a joining process.
- Writing of a scientific paper.
Working student
May. 2021 - Oct. 2021, Sindelfingen
- Implementing three Data Science projects in production using Python, Databricks, and Microsoft Azure.
- Analysis and processing of production data with PySpark and Pandas to detect patterns and trends.
- Designing pipelines for training machine learning models using Scikit-learn and Tensorflow.
- Hyperparameter optimization and evaluation of classification and regression models using MLflow.
- Deploy machine learning models as REST endpoints via Databricks.
- Processing and visualization of results using Databricks dashboards and Microsoft PowerPoint.
- Support the organization of a division-wide working group on Big Data and Artificial Intelligence.
Part-time and holiday worker
Oct. 2014 - Aug. 2015, Mar. 2018 - Feb. 2019, Apr. 2020 - Apr. 2021, Aalen
- Part-time and full-time work in the family business.
- Supporting with online sales on Amazon by creating and editing product photos, developing new articles and supporting in daily business.
- Improving online presence by refactoring existing websites. Assisting in the assembly of medical components as well as in daily business.
Master program
Mar. 2020 - Jun. 2022, Aalen
- I deepened my knowledge in the field of Data Science through the Computer Science course Machine Learning & Data Analytics at Aalen University.
- My courses were about Artificial Intelligence, Machine Learning and Deep Learning, Explainable Artificial Intelligence, Data Analytics, Big Data, Data Mining and Natural Language Processing.
- In my seminar paper I dealt with a review of current state of the art Automated Machine Learning serviAalen. In a project work I have investigated the topic Explainable Artificial Intelligence of Deep Learning approaches based on spectrogram-based image data.
Bachelor student
Sep. 2019 - Dec. 2019, Munich
- Development and optimization of an edge computing solution for automated fault detection and resolution using machine learning.
- Integration of bidirectional communication via WebSockets between a web application and a server.
- Development of interfaces for sending and collecting data via FTP.
- Integration of a local data management.
- Validation of the developed edge computing solution against the real-time requirements of a use case in the production of electric drives.
- Comparison of the developed edge computing solution with a cloud computing solution considering the requirements of the use case.
- Writing of a scientific paper.
- Support for the integration of edge computing in another software project.
Intern
Mar. 2019 - Aug. 2019, Munich
- Conteption and setup of a dedicated Microsoft Azure Cloud and Edge Computing infrastructure for plant-level detection of quality deviations using a Convolutional Neural Network.
- Development of custom Microsoft Azure IoT Edge modules using Python and Docker.
- Developed algorithms to preprocess image data for a neural network.
- Developed algorithms for logging machine data using a subscribe mechanism.
- Design and development of a web application using Django, HTML, CSS, and JavaScript for quality deviation visualization and reclassification.
- Design of a relational database, data management and maintenance.
- Development of CI/CD pipelines for automated deployment of Docker containers on a Linux Edge device.
- Creation and maintenance of technical documentation.
- Assisted in the planning and execution of a project to promote Lean Production at the organizational level.
Intern
Sep. 2017 - Feb. 2018, Ulm
- Development of algorithms for the classification of crash simulations based on mechanical properties.
- Development of an GUI based application for automated classification of multiple simulations in Java and Python.
- Implementation of interfaces to connect to third party software.
Bachelor program
Sep. 2015 - Feb. 2020, Aalen
- General education in Information Technology and Electrical Engineering with emphasis on Internet of Things.
- Major studies in cloud computing, web development and machine learning.
- Completion of my Bachelor's degree with an average grade of 1.8 by writing a thesis in cooperation with BMW.
Holiday worker
Sep. 2015, Aalen
- First holiday job in a company away from my family's business.
- Full time work on the production of precision tools.
- Got insights into shift work of a larger regional company.
Abitur
Sep. 2007 - Jun. 2015, Aalen
- Genereal qualification for university entrance.
Secondy place award
Jun. 2014, Heidenheim
- Development of a tricoper as part of a seminar subject at school.
- Construction of a custom chassis via CAD software.
Publications
I have already had the chance to contribute to several scientific papers. However, my bachelor thesis as well as seminar and project works were not published online.
Hobbies
When I'm not at work, I'm very likely to be caught during one of the following activities. In the summer time I love to windsurf. Otherwise, I like to go for a run to clear my head. When I travel, I always have my analog camera with me. In the evenings I currently like to read a new book if I'm not falling back on an Ian Fleming novel again.
Would you like to get in touch with me?
Contact me