🌍 Successfully delivered projects in: 🇧🇷 🇨🇦 🇮🇹 🇦🇪 🇨🇱
- 7+ years of experience in Data Science and Data Engineering.
- Hands-on expertise in predictive and classification ML models (XGBoost, LightGBM, CatBoost, Statsmodels, TensorFlow, Keras, PyTorch, Theano).
- Skilled in feature selection, extraction, and transformation to enhance model performance and interpretability.
- Experience implementing Data Lakes and Data Marts on cloud platforms:
- AWS (S3, Redshift, Glue, Lambda, EMR, EC2, Sagemaker, Databricks, MLFlow)
- Azure (Azure Databricks, Azure Data Storage)
- GCP (BigQuery)
- Proficient in data orchestration tools such as Apache Airflow and Kafka.
- Professional experience in Data Visualization tools like Tableau, Power BI, and Data Studio.
- Strong background in ETL processes.
- Advanced programming knowledge in Python, Spark, SQL, and R.
I am deeply focused on maximizing business value while ensuring cost-effectiveness and efficient resource utilization in data projects. My approach emphasizes understanding clients' objectives and translating executive board strategies into viable Data Science products. As a problem solver in Big Data and Data Science projects, I specialize in getting stalled projects back on track and delivering tangible value.
- Statistics and Data Science (include badge or link if applicable).
