Alexander Greif

Eigene Privatkunden; zuvor auch für Studienkreis • Nachhilfe für Studierende in Statistik, angewandter Mathematik, Programmierung und Datenbanken.

Eigene Privatkunden; zuvor auch für die Statistikberatung NOVUSTAT • Methodische und statistische Beratung insbesondere zu Bachelor-, Master- und Doktorarbeiten: Entwicklung von Forschungsfragen und Hypothesen, Planung der Datenerhebung und Auswahl statistischer Verfahren. • Datenaufbereitung und statistische Analysen mit R, SPSS und Excel. • Unterstützung bei der verständlichen und fachlich korrekten Darstellung von Methoden und Ergebnissen in wissenschaftlichen Arbeiten.

Taught at bfz in vocational retraining programmes for adults to become IT specialists in application development or system integration • Planned and delivered one-week online modules covering the fundamentals of Python and C# programming, Windows, Linux, Docker, Arduino and IT service management.

Daily tutoring throughout a one-year data analyst training programme • Supported participants during individual assignments and group projects, helping them apply course content to practical, business-oriented data analysis tasks. • Taught Python across the data analysis workflow, from acquiring data via APIs and web scraping to building data applications; tools included pandas, SQLAlchemy, Matplotlib, Plotly, scikit-learn, Streamlit and FastAPI. • Taught SQLite, PostgreSQL, Excel and Power BI.

Department of Education and Teaching in Sports • Provided methodological and statistical advice across research projects. • Developed a structured R project integrating data preparation, statistical analysis and R Markdown reporting for a controlled intervention study with repeated measurements. • Conducted statistical analyses of cross-sectional survey data and wrote the quantitative methods and results sections of the resulting co-authored article on gender differences in student satisfaction.

Worked with members to develop training plans tailored to their fitness levels and goals, providing coaching and ongoing support.

Erasmus-supported university placement at the club's academy • Analysed GPS and heart-rate data in Excel to track changes in player workload and develop physical demand profiles for training drills to support training planning. • Planned and led on-field and gym-based strength and conditioning sessions.

Planned and supervised exercise sessions in a health-focused gym, including medically prescribed training.

Conducted telephone interviews with individuals and businesses for market research studies.

Part-time distance study; 160/180 ECTS completed; average grade: 1.9 (German scale) • Mathematical and statistical foundations covering probability theory, measure and integration theory, parametric statistics, linear algebra, real analysis and numerical methods. • Computer science and software development covering data structures and algorithms, object-oriented programming, relational databases and software engineering.

Taught and assessed in English • Collected and analysed biomechanical and neurophysiological data, including kinematic and kinetic measurements, EMG and EEG. • Used computational models in MATLAB to estimate joint moments and internal forces.

Taught and assessed in English; final grade: 1.8 (German scale) • Coursework covering biomechanics, motor control, exercise physiology, sport psychology and social aspects of sport. • Training in study design, statistics and scientific communication, including practical experience through coursework projects. • Bachelor thesis: "The integration of external and internal match load with contextual factors to assess training status in football" (grade: 1.3)