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
5 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
Conducting collaborative research, teaching students, managing industry projects while pursuing independent research and further academic and data science related qualifications.
- Lead of B2B/B2C industry innovation projects (focus: digital transformation, big data analytics)
- Designed and conducted multiple lecture units and exams in entrepreneurship and data science
- Developed and implemented a Digital Teaching and Learning Ecosystem to teach classes remotely
- Supervised student theses, projects and internships
- Presented at international conferences and about to publish in related journals
Created a custom AI-based solution for reducing cost & response time (in collaboration with IBM Watson).
- Communicated with stakeholders to define project parameters and keep them up to date on project status
- Optimized use of resources to complete projects ahead of deadline and under budget
- Designated resources, assigned tasks and monitored performance for each part of the project
Worked as a PMO manager on a project for the development of new location concepts of a large European railroad company, replacing the entire existing infrastructure of this major corporate.
- Operational execution of PMO activities (reporting, budget tracking, preparation and follow-up of meetings)
- Assistance in establishing the project structure
- Preparation of profitability calculations and capacity / utilization analyses for the individual sites
As coordinator of the Lean Manufacturing Team, I was responsible to help people to understand the Lean Management philosophy and the operational excellence approach of AUDI (Audi Production System, APS).
- Training and coaching of lean methods with focus on problem solving, logistics and process synchronisation
- Preparation, implementation and moderation of shopfloor management projects in direct and indirect areas
- Optimizing various processes via process mapping and value stream analysis
Teaching Experience
Designer & Instructor of multiple business oriented Data Science and Machine Learning courses:
- Business Data Science Basics
- Business Decisions with Machine Learning
- Building Business Data Products
Teaching students skills needed to build a technology startup from the ground up in varying classes:
- 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