All Projects

A selected collection of dashboards, analytics workflows and machine learning projects across Power BI, Streamlit, forecasting and end-to-end data solutions.

Stroke Risk Analytics Dashboard

Power BI • DAX • Power Query

Stroke Risk Analytics Dashboard

Built an interactive healthcare dashboard on a dataset of 5,110 patients to analyze stroke risk indicators through KPI tracking, demographic filtering and risk-focused visual analysis.

Python • Streamlit • Ollama

CV Optimizer

Built a CV optimization tool that compares a resume against a job description, improves summary wording and identifies missing skills using a local LLM workflow with Streamlit.

Python • Pandas • Visualization

Wine Quality Analysis

Performed exploratory data analysis on Portuguese wine datasets using cleaning, wrangling and visualization to study how chemical properties relate to wine quality.

PostgreSQL • XGBoost • LSTM

Electricity Insights

Developed an end-to-end electricity and renewable energy analytics solution with forecasting, model comparison and database integration for energy usage analysis.

Environmental Analytics • Streamlit

Lake Monitoring and Quality Analysis

Designed a predictive monitoring workflow for lake levels, trophic conditions and water quality indicators using environmental and meteorological data.

Project Highlights

  • Stroke Risk Analytics Dashboard: Built an interactive Power BI dashboard with KPI cards, filters and demographic analysis to make healthcare risk patterns easier to interpret and report.
  • CV Optimizer: Developed a Streamlit-based application that aligns CVs with job descriptions using local LLM processing and generates stronger summaries and missing skill suggestions.
  • Wine Quality Analysis: Conducted exploratory analysis and visualization to identify how wine chemistry influences expert-rated quality across red and white wine datasets.
  • Electricity Insights: Built an energy analytics solution with XGBoost and LSTM models, database integration and model comparison to support electricity usage prediction and renewable energy analysis.
  • Lake Monitoring and Quality Analysis: Applied data integration, environmental analysis and predictive reporting concepts to build reusable analytical workflows for lake quality monitoring.