Nion M. Dransfeld
Email: con***@nionmaron.com[reveal]
Phone: +55 (47) 9****-2087[reveal]
Location: Joinville, SC - Brazil
Website: nionmaron.com
LinkedIn: linkedin.com/in/nionmaron
Professional Summary
An engineering professional specializing in Data Science and Machine Learning, with experience in developing predictive solutions, automating data workflows, and building interactive web applications. Proficient in data preprocessing, feature engineering, statistical modeling, and applying machine learning algorithms using R and Python, with expertise in libraries such as scikit-learn, caret, and XGBoost. Experienced in data visualization and analysis with Shiny, Streamlit, and Power BI, along with solid experience in spatial analysis, geoprocessing, and geographic data integration using tools like QGIS and specialized libraries. Focused on generating value through the analysis of structured and unstructured data, emphasizing strategic information extraction, data storytelling, machine learning model development, and decision support.
Technical Skills
Key Projects
ConGeres (2024-Present)
Platform for analyzing and comparing general insurance policy conditions
The Congeres application is an innovative platform designed to analyze and compare general conditions documents from insurance providers, helping users efficiently identify differences, risks, and coverage details. Using advanced data processing techniques and intuitive tools, Congeres simplifies the complex task of understanding insurance general conditions, enabling a clear view and informed decision-making. The platform combines advanced technologies such as machine learning and data visualization to ensure accuracy and usability. Access at congeres.com.br and app.congeres.com.br.
Cryptos Research (2021-2023)
Cryptocurrency analysis and research platform
Cryptos Research was a platform dedicated to the comprehensive analysis and research of cryptocurrencies, offering weekly reports that assisted investors and enthusiasts in identifying trends and evaluating the soundness of projects involving over a thousand cryptocurrencies. Focused on market data analysis, price variations, and other essential indicators for decision-making, the platform utilized advanced techniques in data scraping, statistics, programming scripts (R and Python), and automated report generation via R Markdown. Thus, the project provided deep insights into market trends and emerging opportunities in the crypto-asset sector.
Publications and Contributions
I develop projects and analyses hosted on platforms like GitHub and Docker Hub, including repositories and images for applications in data science, machine learning, and data analysis. I also publish detailed statistical analyses in R Markdown, exploring advanced techniques for data visualization and interpretation. Check out some of my work at the links below:
Professional Experience
Freelance Data Science and Machine Learning Consultant
Apr 2021 – Present
Working independently on data science and machine learning projects, assisting clients in transforming raw data into actionable insights. My activities include data preprocessing, feature engineering, and model development and evaluation using Python and R. I have experience building interactive web applications with Shiny, allowing clients to explore and visualize data dynamically. I specialize in applying machine learning algorithms to solve business problems, develop predictive models, and automate data workflows.
Sample Projects Developed:
- AncestryMap: https://ancestrymap.nionmaron.com
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TalkMapper: https://talkmapper.com/
Platform for professional audio transcription using Whisper and PyAnnote.
Engineer – Joinville City Council, Santa Catarina, Brazil
Aug 2014 – 2025 (Part-Time)
Responsible for managing construction projects, from technical specifications and cost estimates to schedule monitoring. I conduct oversight and supervision of building maintenance operations, ensuring functionality and compliance with safety standards. I develop and implement custom tools to optimize maintenance management and facility operations, including communication infrastructure upgrades. I coordinate multidisciplinary teams to align projects with organizational goals and regulatory requirements, and conduct regular inspections for proactive identification and resolution of maintenance needs.
Education
Master's Degree in Civil Engineering
Thesis: Application of Machine Learning Methods for Flood Susceptibility Mapping
Feb 2023 – May 2025 | Level: Master's Degree (Stricto Sensu) | State University of Santa Catarina (UDESC)
Skills: R (Programming Language) · Statistical Analysis · Geospatial Analysis · QGIS · Remote Sensing · Geographic Information Systems (GIS) · Microsoft Visio · Machine Learning · Statistical Modeling · Statistical Data Analysis · Geoprocessing
Postgraduate Diploma in Data Engineering
Jan 2024 – Dec 2024 | Level: Postgraduate Diploma (Lato Sensu) | Pitágoras Unopar Anhanguera University
Skills: Data Pipelines · Data Management · Extract, Transform, Load (ETL) · Big Data · Cloud Computing · Data Warehousing · DevOps · Project Management · Data Modeling
Postgraduate Diploma in Artificial Intelligence and Machine Learning
Jan 2024 – Nov 2024 | Level: Postgraduate Diploma (Lato Sensu) | Pitágoras Unopar Anhanguera University
Skills: Deep Learning · Data Analysis · Python (Programming Language) · R (Programming Language) · Statistical Modeling · Artificial Intelligence (AI) · Machine Learning · Data Visualization
Postgraduate Diploma in Structural Engineering
2014 – 2016 | Level: Postgraduate Diploma (Lato Sensu) | UniSociesc University Center
Skills: Reinforced Concrete · Steel Structures · Foundations · Structural Analysis · Engineering Technical Standards
Languages
- Portuguese: Native
- English: Advanced (technical reading and writing), Intermediate (conversational)
