I am an Environmental Engineer and PhD Researcher with a strong focus on sustainability, industrial efficiency, and business management. I bridge the gap between engineering processes and technological innovation by using Python to automate data integrity, predictive analytics, and audit workflows.

• Languages & Tools: Python (Pandas, Selenium, Pillow, Matplotlib, Data Automation, Scripting, RPA).
• Core Expertise: Sustainability & ESG, CSRD Compliance, ISO 50001 (Energy Management), Data Integrity Auditing.
• Domain Knowledge: Environmental Engineering, Industrial Process Optimization, Fraud Detection, Local Lodging Management.

• water-fraud-detection: Hybrid fraud detection system for water utilities using polynomial probability modeling and Decision Tree Machine Learning. Developed for my 2019 Master's Thesis.
• dashboard-kpi: Automated dashboard solution created for tracking and visualizing key performance indicators (KPIs) using Matplotlib.

• photo-numeric-encoder: A professional tool built to anonymize image datasets and audit data integrity for large-scale events, ensuring blind-jury compliance and metadata preservation.
• photo-metadata: Python tool developed to extract precise metadata and EXIF data from photographs for image auditing and forensics.
• image-watermarker: Automated image branding tool that appends metadata-driven signatures to photos using Python, Pillow, and Excel batch-processing.

• matrix-transposition: Python and Pandas script designed for data wrangling and RPA, transforming complex Excel tables into structured matrices for direct author-to-file correspondence.
• emails-extractor: Web scraping script built with Selenium to automate data extraction, specifically institutional emails and enrollment status validation integrated with Excel.

• LinkedIn: linkedin.com/in/joaoteixeiraecosta
• Location: Porto, Portugal 🇵🇹

"Leveraging technology to build a more sustainable and efficient future."