Hi There! Thanks for stopping by my little corner of the internet! My name is Joschka Schwarz and I am excited to meet you. Below you will find my current CV.
Joschka Schwarz
8 years’ experience working with data. Expertise in quantitative modeling, growing people and making data-driven decisions. Currently working as a Research Associate (Ph.D. Candidate) at the intersection of computer science, statistics and the social sciences as member of both the Entrepreneurship & Data Science groups.
Industry Experience
Led multifaceted data-driven initiatives, combining expertise in data science, business strategy and project management to deliver innovative solutions across consulting, education and research domains.
- Consulting: Spearheaded strategic and operational consulting projects using agile methodologies, big data analytics and AI-driven insights, fostering continuous improvement in fast-paced environments.
- Project Management: Orchestrated the SMILE project, empowering start-ups and scale-ups in smart manufacturing. This initiative fostered cross-border collaboration among multiple European participants.
- Teaching: Designed and delivered courses on Business Innovation and Data-Driven Decision Making, incorporating hands-on projects in data analysis, machine learning, reporting and dashboard creation.
- Research: Conducted comprehensive analysis of AI trends and Venture Capital investments, providing valuable insights for strategic decision-making in the rapidly evolving tech startup ecosystem.
Led the design, development and integration of a custom AI-driven solution for the Aviation industry in collaboration with IBM Watson, enhancing cost efficiency and response time for critical Aircraft on Ground (AOG) processes.
- Implemented NLP and text mining capabilities using IBM Watson Studio to streamline sales workflows
- Facilitated Design Thinking workshops with the IBM DSE teams to align solution design with business needs
- Managed the scale-up from PoC to full deployment, ensuring client satisfaction and successful rollout
Managed the PMO for a large-scale project developing new location concepts for Deutsche Bahn’s maintenance depots, aiming to enhance equipment reliability, efficiency and availability.
- Led agile PMO operations, including reporting, budget tracking and managing timelines and resources
- Collaborated with stakeholders to align project goals with operational needs and business objectives
- Conducted profitability assessments and capacity analyses for each site, informing strategic decisions
As the Lean Manufacturing Team coordinator, I facilitated the adoption of Lean Management principles and operational excellence strategies at AUDI, focusing on the Audi Production System (APS).
- Taught lean methodologies, focusing on problem-solving, logistics and process synchronization
- Planned and moderated shopfloor management projects across both direct and indirect operational areas
- Enhanced processes through detailed process mapping and value stream analysis
Teaching Experience
Designed and instructed business-oriented Data Science and Machine Learning courses for diverse organizations, covering data analysis, predictive modeling, statistics and advanced ML algorithms:
- Business Data Science Basics
- Business Decisions with Machine Learning
- Building Business Data Products
Instructing students on essential skills for launching tech startups, covering ideation, market research, product development, marketing, financial planning and entrepreneurial mindset cultivation:
- Startup Engineering
- Technology Entrepreunrship
- Sustainable Entrepreunrship
- Creation of Business Opportunities
Education
Quantitative dissertation (using SQL, R, Python) on the influence of social, structural and reputational effects on entrepreuneurial success.
- Creation of various databases by scraping different data providers and collaborative platforms
- Natural language processing on linkedin and startup databases to extract features for network analysis
- Machine Learning and statistical analysis on large (> 5 billion records) github and stackoverflow datasets
- Grade: 1.6 (Selected to the Dean’s List)
- Finished within the designated period of study
- Engineering specialization: Iron Metallurgy
- Economics specialization: Supply Chain Management & Controlling
- Final Thesis: The impact of an artificial intelligence-based e-mail parsing system on the aircraft spare parts quotation process - a Lufthansa Technik AG case
Accomplishments
Course List. Click to expand!
Course List. Click to expand!
- Data Import: readr & odbc
- Data Cleaning & Wrangling: dplyr & tidyr
- Time Series, Text, & Categorical Data: lubridate, stringr, & forcats
- Visualization: ggplot2
- Functions & Iteration: purrr
- Modeling & Machine Learning: parnsip (xgboost, glmnet, kernlab, broom, & more)
- Business Reporting: rmarkdown