Data Scientist & AI Engineer

Reebal Sami

Transforming data into intelligent solutions

Verbindung von 5 Jahren Erfahrung in Corporate Finance mit modernsten KI/ML-Fähigkeiten. End-to-End-Entwicklung intelligenter Lösungen.

Wer ich bin

Über mich

Data Scientist und KI-Ingenieur mit 5 Jahren Erfahrung in Corporate Finance (Otto Group) und modernsten KI/ML-Fähigkeiten. M.Sc.-Kandidat in Data Science & KI an der FH Wedel.

Bewiesene End-to-End-Lieferung — von Multi-Agenten-B2B-Sales-Pipelines bis hin zur Pflanzenerkennung mit Deep Learning. Ich entwickle intelligente Lösungen mit messbarem Geschäftsimpact.

Was mich auszeichnet

Business × Daten

5 Jahre bei der Otto Group in Corporate Finance, jetzt Verbindung von Business-Verständnis mit KI/ML-Engineering.

End-to-End-Entwickler

Vom Konzept zum MVP — Multi-Agenten-B2B-Pipeline mit 53% Workload-Reduktion.

Mehrsprachig

Deutsch (C1), Englisch (fließend), Arabisch (Muttersprache), Spanisch (Grundkenntnisse), Französisch (Grundkenntnisse).

M.Sc.-Kandidat

Data Science & KI an der FH Wedel — Deep Learning, NLP, Computer Vision, Ökonometrie.

Karriereweg

2025 – 2026

Data Scientist (Working Student)

Datalogue GmbH

Building multi-agent AI systems for B2B sales. Delivered pipeline reducing manual workload by 53%.

2023 – 2026

M.Sc. Data Science & Artificial Intelligence

FH Wedel

Focus on deep learning, NLP, computer vision, and econometrics. Thesis on multi-agent systems.

2022 – 2023

Data Science Bootcamps

neuefische & Le Wagon

Intensive training in Python, ML, deep learning, and data engineering. Career transition from finance.

2017 – 2022

Financial Analyst / Controller

Otto Group

5 years in corporate finance — budgeting, reporting, and process automation. Built foundation for data-driven thinking.

2015 – 2017

Au-Pair & Language Studies

Hamburg, Germany

Moved to Germany. Learned German (C1), integrated into Hamburg culture, and explored career options.

2010 – 2014

B.Sc. Banking & Finance

Damascus University, Syria

Studied economics, banking, and financial analysis. First professional experience in banking sector.

Tech-Stack

Languages

PythonTypeScriptJavaScriptSQLR

AI / ML

PyTorchscikit-learnHugging FaceLangChainOpenAI APIRAGComputer VisionNLP

Frameworks

Next.jsReactFastAPIStreamlitSpring Boot

Cloud & DevOps

AWSGCPDockerGitHub ActionsCDK

Databases & Tools

PostgreSQLMongoDBRedisPinecone

Tools

GitJupyterPandasTailwind CSSPlaywright

Lebenslauf herunterladen

Ausgewählte Arbeiten

Projekte

B2B Sales Lead Pipeline

Multi-agent AI system automating B2B lead generation and qualification with LLMs.

53% workload reduction

PythonStreamlitLangChainOpenAI+1

Urban Farming Plant Health

Deep learning system for automated plant disease detection using Vision Transformers.

Automated detection

PyTorchVision TransformerCNNGradCAM+1

Bankruptcy Early Warning

Econometric analysis and ML models for early bankruptcy prediction in German companies.

Seminar, FH Wedel

XGBoostRandom ForestLogistic RegressionPython+1

Biotech Regulatory RAG

RAG-powered compliance tool for navigating biotech regulatory documents with LLMs.

Compliance tool

RAGLangChainVector DBOpenAI+1

OTTO Recommender System

Multi-objective recommendation engine using Word2Vec and co-visitation for e-commerce.

Multi-objective optimization

Word2VecCo-VisitationGCPPython+1

MyRecipes App

Full-stack recipe management app with AI-powered recipe suggestions.

Full-stack + AI

JavaSpring BootReactMongoDB+1

Gedanken & Tutorials

Blog

Building Multi-Agent AI Systems for B2B Sales

How I built a multi-agent pipeline that reduced manual workload by 53% using LangChain, OpenAI, and Streamlit.

1. Apr. 20262 min read

AILangChainMulti-AgentPython

Kontakt aufnehmen

Kontakt

Direkter Kontakt

contact@reebal-sami.com