Hi! I'm Daniel, a senior data scientist dedicated to applying data-driven solutions to business challenges. In my current role, I work as a consultant for various companies, using data to solve problems such as credit risk analysis, credit collection models, fraud detection, customer segmentation, churn prediction, and optimizing fuel distribution at stations.I also developed an academic project in computer vision (as part of my Postgraduate degree in Big Data Analysis) focused on bird species classification using deep learning techniques.Currently, a significant part of my role involves serving as a technical lead, supporting the development of colleagues by providing mentorship, conducting code reviews, and delivering training sessions.Some of my key skills include:- Mathematical modeling of business problems;- Advanced Python programming skills (5+ years), with extensive experience in popular data science libraries such as Pandas, Numpy, Scikit-Learn, XGBoost/CatBoost, etc.;- Advanced proficiency in SQL;- Expertise in machine learning models and techniques, ranging from simple logistic regression to advanced deep learning and computer vision models;- Strong communication skills with both technical and non-technical stakeholders;- Business intelligence knowledge;- Data engineering: Experience in developing high-efficiency data pipelines to process terabytes of data, with tools like Airflow, Spark, and data quality checks;- Machine Learning Operations (MLOps): Experience with Git, Docker, Kubernetes, AWS, MLFlow, and the deployment and monitoring of machine learning systems.I have personal interests in credit risk modeling, demand forecasting, computer vision, LLM, and marketing applications of machine learning.You can check out my other profiles:- GitHub: https://github.com/dtonettiI- Medium: https://medium.com/@dtonetti08- Email: dtonetti08@gmail.com (editado)
Listed skills include Python, Pacote Microsoft Bi, Microsoft Reporting Service, Hadoop, and 14 others.