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Radhouane Baba

Radhouane Baba

Data Scientist

WEPA | Dortmund, Germany

Technologies

My Portfolio Highlights

My New Course

Introduction to Python

My New Course

Introduction to Python

Data visionary, envisioning a future transformation of Energy Sector with AI-powered Data Analytics | Spearheading Green Energy Innovations

My Work

Take a look at my latest work.

project

From Data to Dollars - Predicting Insurance Charges

Python
course

Machine Learning for Time Series Data in Python

Python
project

From Data to Dollars - Predicting Insurance Charges

Python

DataCamp Course Completion

Take a look at all the courses I’ve completed on DataCamp.

Courses

Introduction to Python
Intermediate Python
Data Manipulation with pandas
Supervised Learning with scikit-learn

My Work Experience

Where I've interned and worked during my career.

WEPA | Oct 2023 - Present

Energy Procurement Analyst

Multilingual Energy Engineer & Data Strategist (English, Arabic, French, German) with electrical engineering roots, I build bridges between industrial analytics and AI-driven energy innovation, accelerating the green transition. Whether it was saving rhenag €5.1M through AI-powered churn prevention and risk management, or currently leading data transformation at WEPA to leverage market volatility with AI, my passion lies in turning complex energy challenges into competitive advantages. Intrigued? Let's connect and explore how data can power a sustainable future!
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rhenag Rheinische Energie AG | Dec 2020 - Oct 2023

Data Analyst

-Churn Prevention System: Designed Qlik Sense dashboards tracking 200K+ gas/electricity customers post-price hikes, enabling targeted interventions that reduced attrition by 12%. -Supplier Risk Early Warning: Built real-time data pipelines monitoring 50+ energy providers for insolvency risks, preventing €3M in bad debt during 2022 energy crisis. -Process Automation: Developed ETL workflows in Qlik reducing manual reporting by 20 hours/week, freeing team for high-value analytics. -Geospatial Churn Analysis: Implemented Qlik GeoAnalytics to identify high- risk customer clusters, guiding localized retention campaigns -Lifetime Value Optimization: Partnered with Sales to redefine KPIs, increasing upsell conversion through data-driven pricing tiers.

Chair for Electrochemical Energy Conversion and Storage Technologies (ISEA) / RWTH Aachen University | Jun 2019 - Dec 2019

Master Thesis Project

Master Thesis: Development and Comparison of Innovative AI Load Forecasting Strategies for PV-Battery Storage Systems. Engineered a load forecasting model utilizing Python, Keras, and Tensorflow, incorporating LSTM networks and SVR, to predict energy demand; the system improved forecasting accuracy.

Aachen | Jul 2017 - Dec 2017

Student Research Assistant

▪ Internet of Things "IoT" ▪ Market research of the bluetooth low energy beacons industry ▪ Patent search for solar beacon

P3 | Apr 2016 - Jun 2016

Intern

Electric Vehicle Grid Integration Research: -Conducted technical and regulatory analysis for residential EV charging infrastructure across 3 European markets (Germany, UK, France). -Developed grid impact models assessing transformer overload risks from clustered EV adoption, informing DSO planning strategies -Conducted comparative policy report on charging standards adopted by P3's e-mobility consulting practice Key Skills Demonstrated: -Energy system analysis -Techno-economic modeling -Regulatory framework evaluation

My Education

Take a look at my formal education

B.Sc. & M.Sc., Business Administration and Engineering: Electrical Energy TechnologyRWTH Aachen University | 2020
MBA Exchange Sungkyunkwan University | 2018
F+U Rhein-Main-Neckar gGmbH (F+U Academy of Languages
Test Deutsch als Fremdsprache (TestDaF) , Deutsche Sprachprüfung für den Hochschulzugang (DSH), G...Heidelberg) | 2013
Baccalauréat, EducationTahar Sfar Lycée , Sousse | 2012

About Me

Radhouane Baba

Multilingual Energy Engineer & Data Strategist (English, Arabic, French, German) with electrical engineering roots, I build bridges between industrial analytics and AI-driven energy innovation, accelerating the green transition. Whether it was savi

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