Eugene Tefong
Freelancer
Experience
Freelancer
3d-statistical-learning
- Data preparation and analysis of user behavior for targeted marketing strategies
- Development and implementation of machine learning models, B2C customer segmentation and cluster analysis with Python
- Use of openpyxl and pandas for efficient automation, cleaning and standardization of datasets
- Close collaboration with interdisciplinary teams to integrate data-driven insights; result: +15% increase in marketing efficiency through improved customer retention
- Technologies & Tools: Python (Pandas, NumPy, scikit-learn), SQL (SQLAlchemy), Jupyter Notebook, creation of analysis and result reports (PDF, Word, Excel)
Statistician
Medical Service Baden-Württemberg
- Conducting data validation, preparation, transfer and linking
- Independently creating data queries and test analyses of medical indicators (e.g., blood glucose measurement, capnometry)
- Applying statistical methods using R (RStudio, R Markdown, ggplot2, various R packages) and Tinn-R
Data Analyst Intern
SAMO Management Company mbH
- Creating and executing database queries on customer data with SQL (especially Oracle)
- Executing marketing campaigns with IBM Unica Campaign
Research Assistant / Biostatistician
Ruhr University Bochum, Department of Medical Informatics, Biometrics and Epidemiology
- Assisting with data entry and plausibility checks
- Analyzing questionnaires with RStudio (ggplot2, R Markdown)
- Creating tables and charts for descriptive statistics
- Conducting statistical tests and applying regression models (linear, logistic, Cox)
Industries Experience
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Experienced in Healthcare (2.5 years), Information Technology (2 years), and Education (1.5 years).
Business Areas Experience
The graph below provides a cumulative view of the freelancer's experience across multiple business areas, calculated from completed and active engagements. It highlights the areas where the freelancer has most frequently contributed to planning, execution, and delivery of business outcomes.
Experienced in Business Intelligence (2.5 years), Marketing (2.5 years), and Research and Development (2.5 years).
Skills
Statistics And Data Science
Strong Programming Skills In Python And R
Solid Experience With The Libraries: Pandas, Matplotlib, Seaborn, Scikit-learn, Tensorflow, Pytorch, Sqlalchemy, Openpyxl
Solid Knowledge Of Sql
Solid Understanding Of Statistical Methods And Procedures
Analytical And Communication Skills
Structured And Independent Work Style
Intercultural Competence
Exploratory Data Analysis: Cleaning, Analyzing, And Creating Clear Visualizations Of Datasets With Python
Statistical Analysis: Applying Statistical Methods And Analyzing Data With Python
Big Data & Databases: Data Management And Queries With Sql Server
Machine Learning & Modeling: Developing Prediction Models With Scikit-learn, Including Multivariate Regression, Classification (Decision Trees, Random Forest) And Clustering Methods (K-means)
Project-based Work: Carrying Out Independent Analysis Projects – From Data Cleaning To Developing Machine Learning Models To Presenting Results – With A Clear Focus On Practical Questions.
Languages
Education
Technical University of Dortmund
Bachelor of Science in Statistics · Statistics · Dortmund, Germany
Certifications & licenses
Data Scientist
Mines ParisTech PSL and University Panthéon-Sorbonne
Profile
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