// PROJECTS

Alle Projekte

Eine ausgewählte Sammlung von Data-Engineering-, Forecasting- und Analytics-Projekten mit Fokus auf ETL-Pipelines, Datenintegration, reportingfähige Datensätze und entscheidungsorientierte Dashboards.

Python • PySpark • ETL • Forecasting • Streamlit

Smart Electricity and Energy Optimizer

Built an end-to-end data pipeline to ingest, clean and integrate electricity and solar consumption data, preparing structured time-series datasets for forecasting, cost analysis and energy optimization.

GitHub

Python • SQL • Spark • Environmental Analytics

Lake Monitoring and Quality Analysis

Built reusable analytics workflows to integrate environmental and weather-related datasets for KPI generation, trend monitoring and predictive analysis of lake levels and water quality.

Stroke Risk Analytics Dashboard in Power BI

Power BI • DAX • Power Query • KPI Design

Stroke Risk Analytics Dashboard

Built an interactive Power BI dashboard using a healthcare dataset of 5,110 patients to analyze stroke risk factors, demographic trends and health-related KPI patterns.

GitHub

Python • Streamlit • Local LLM • Automation

CV Optimizer

Built a Streamlit-based CV optimizer that compares resumes with job descriptions, identifies missing skills and suggests stronger profile summaries using local LLM-supported workflows.

GitHub

Python • Pandas • Data Cleaning • Visualization

Wine Quality Analysis

Performed exploratory data analysis on Portuguese wine quality datasets using Python, Pandas and visualization techniques to understand how chemical properties relate to wine quality scores.

GitHub

Project Highlights

  • Smart Electricity and Energy Optimizer: Built a reusable Python and PySpark pipeline to integrate electricity and solar data, prepare structured time-series datasets and support forecasting, cost analysis and energy optimization.
  • Lake Monitoring and Quality Analysis: Integrated environmental and weather-related datasets with Python, SQL and Spark to create reusable workflows for KPI generation, trend monitoring and predictive analysis.
  • Stroke Risk Analytics Dashboard: Built a Power BI dashboard with KPI cards, filters, DAX logic and demographic analysis to make healthcare risk indicators easier to interpret.
  • CV Optimizer: Developed a Streamlit application with local LLM-supported workflows to analyze resumes, job descriptions, skill gaps and optimized profile summaries.
  • Wine Quality Analysis: Applied data cleaning, exploratory analysis, correlation checks and visualization to study relationships between chemical properties and wine quality scores.