Eugene Tefong - Freelancer

Essen, Germany

Experience

Jan 2024 - Present

2 years 1 month

Germany

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)

Feb 2022 - Feb 2023

1 year 1 month

Stuttgart, Germany

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

Oct 2021 - Dec 2021

3 months

Düsseldorf, Germany

Creating and executing database queries on customer data with SQL (especially Oracle)
Executing marketing campaigns with IBM Unica Campaign

Mar 2020 - Oct 2021

1 year 8 months

Bochum, Germany

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)

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.