Location: Munich, Bavaria, Germany
Contact: (+49) 178 4518406 • hachemsfar@gmail.com • GitHub • LinkedIn
Skills: Azure Data Factory • Microsoft Fabric • Power BI • Machine Learning • Data Engineering • Python • Scala • SQL • Cloud Computing (Azure/AWS)
Taught Machine Learning & Business Intelligence to Master’s students.
Tech: Python, Power BI, SQL, ML Frameworks
Built Azure Data Factory pipelines, Microsoft Fabric dataflows, and Power BI dashboards.
Tech: ADF, Microsoft Fabric, Power BI, SQL, Azure, Python
Created LLM tools for GDPR compliance and automated legal workflows.
Tech: Python, LLM, Streamlit
Developed backend for travel expense automation integrated with ABAS ERP.
Tech: Python, Django, PostgreSQL, MS Graph
Built ML models predicting driver behavior using sensor and location data.
Tech: Python, AWS, Streamlit, Data Visualization, ML
Developed Kafka connectors for SAP systems on the Confluent platform.
Tech: Scala, Java, Kafka Connect, Docker, Jenkins, SAP
Built time-series models to forecast gym visitor traffic.
Tech: Python, FastAPI, Streamlit, NeuralProphet
Supported projects in data analysis, NLP, and web development.
Tech: Python, Pandas, SQL, Azure, Snowflake, Streamlit
Developed an intelligent recommendation system for personalized products.
Tech: Python, Scikit-learn, Keras, ML Algorithms
Built a desktop application for visitor registration.
Tech: Python, Flask, MySQL
Data Science for Leaders Program: Forecasted EV charging needs using ML models and built a web app for investment analysis.
Tech: Python, Streamlit, NeuralProphet, DBScan
Completed training in data prep, web scraping, ML, and deep learning using real-world data.
Tech: Python, Scikit-learn, TensorFlow
Automated LinkedIn job scraping to identify top roles and skills in Germany.
Tech: Python, Airflow, ETL, Data Analysis
Built ETL pipeline with ML forecasting and visualization for real estate data.
Tech: Python, Airflow, MongoDB
Game of Thrones Chatbot (LLM Q&A), Celebrity Profiling (Twitter demographics), Patent Classification (XML text classification).
Tech: Python, BERT, NLP
Created Udemy web scraping course; built anime data pipeline and passport power map.
Tech: Python, Scrapy, BeautifulSoup
The goal of this program is to create a generation of data scientists ready to tackle and solve tomorrow's challenges.
Participants will learn the basics of data science and they will learn how to apply classroom examples using real data.
Program:
♦ Module 1: Prerequisites
♦ Module 2: Data Preparation
♦ Module 3: Web scrapping
♦ Module 4: Machine Learning
♦ Module 5: Deep Learning
Development of an intelligent recommendation system that recommends products to meet the interests of each customer in the next months.
keywords: Machine Learning, Exploration Data Analysis, Logistic regression, Naive Bayes, DecisionTree, Random Forest, Neural network
Develop a system for monitoring and tracking visitors through a RFID badge carried by each of them when it is registered at the post office level of the company's custody The system will enable the security agent to localize in real time and will give authority to the visitor to have access to the area where it is permitted to.
Technical environment: LoRa Network,RFID Sensor , STM32
Solution development for the follow-up of the elderly which is useful (especially for those who suffer from Alzheimer's).
Technical environment: HTML,Javascript,Google map api,Node-red ,Arduino/Raspberry pi,GPS shield, Temperature sensor, Arterial pressure sensor
Training in digital manufacturing:
♦ 3D design(Solidworks,autodesk fusion 360)
♦ 3D printing
♦ Milling and laser cutting
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