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frikha majdi

@frikhamajdi

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Forecasting and Machine Learning Specialist with a PhD.

Germany

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What I'm looking for

I am looking for a role that fosters innovation and collaboration, where I can leverage my skills in machine learning and data science to drive impactful solutions.

I am a passionate Junior Data Scientist with a PhD in Information Science and over five years of hands-on experience in time series modeling and predictive analytics. My expertise lies in managing the full machine learning lifecycle, from data acquisition and preprocessing to model deployment and monitoring. I have a proven track record of developing end-to-end forecasting pipelines and integrating external data to enhance model accuracy.

Throughout my career, I have successfully designed and monitored electricity consumption forecasting models and built tools for real-time data exploration. I am adept at using AWS, Python, and MLOps best practices to automate workflows and ensure efficient model deployment. My strong communication skills enable me to translate complex technical results into actionable business insights, making me a valuable asset to any team.

Experience

Work history, roles, and key accomplishments

Current

Data Scientist

Current

Personal Projects

Jan 2025 - Present (7 months)

Developed end-to-end forecasting pipelines for real estate and booking platforms using time series models and deployed on AWS EC2 with FastAPI and Docker. Automated retraining and deployment using Airflow, GitHub Actions, and MLflow for experiment tracking and CI/CD.

Prophet XGBoost AWS EC2 fastAPI Docker Airflow GitHub Actions)MLFlow Power BI

Data Scientist

HTWK Leipzig

Apr 2020 - Present (5 years 4 months)

Designed and monitored electricity consumption forecasting models for households using LSTM, GRU, and hybrid models in TensorFlow/Keras. Took full ownership of model lifecycle: data ingestion, model development, deployment, monitoring, and retraining on AWS EKS, EC2, S3.

GRU TensorFlow Keras EC2 S3 MLFlow Airflow Docker Cloudwatch LLM

Data Scientist Intern

HTWK Leipzig

May 2019 - Present (6 years 3 months)

Simulated autonomous PV generation scenarios and optimized battery storage for different household usage profiles. Validated system efficiency across household profiles and contributed to improved storage allocation strategies.

Battery Storage Optimization System Efficiency Validation Household Usage Profiles Simulation

Data Scientist Intern

Digital Research Center of Sfax

Jan 2017 - Present (8 years 7 months)

Performed exploratory data analysis and time-series modeling (LSTM, GRU) on behavioral datasets. Validated model accuracy with F1-score, AUC, and k-fold cross-validation.

Time Series GRU F1 Score K Fold Cross Validation

Education

Degrees, certifications, and relevant coursework

HTWK Leipzig / ENET’Com

PhD in Information Science and Technology, Information Science and Technology

2020 -

Pursued a PhD in Information Science and Technology, focusing on advanced research and methodologies within the field. Gained expertise in specialized areas of information science.

ENET’Com Sfax

M.Sc. in Information Science and Technology, Information Science and Technology

2017 - 2019

Completed a Master of Science degree in Information Science and Technology. Developed advanced knowledge and skills in various aspects of information science.

ENET’Com Sfax

B.Sc. in Information Science and Technology, Information Science and Technology

2014 - 2017

Obtained a Bachelor of Science degree in Information Science and Technology. Acquired foundational knowledge and practical skills in the core principles of information science.