Machine Learning / Python / Deep Learning / Power BI / Maths / SQL / TensorFlow / NumPy / R / Data Engineering / Neural Networks/ Statistics / Talend Studio / Data Science / C / C++ / Scikit-Learn/ Keras / Pandas
- Current Company 2021 - Present
Full Stack Data Science: Currently also working as a data engineer using tools for ETL, data integration and maintain/develop data pipelines. I am part of all stages of the CRISP-DM methodology, that is, from understanding the business and requirements to the deployment of the model that has already been validated. Python and frameworks / libraries like Pandas for data wrangling. Scikit-learn, Tensorflow/Keras and Numpy for machine learning and scientific computing models in conda environments with Jupyter notebooks. Use of Microsoft Power BI for data visualization (both internal company data and for customers, mostly, financial segment)
- IBM 2020
Create and develop Machine Learning models and analyze data for better insights. Always evaluating which is the best and most accurate model for making predictions or classifications, using evaluation metrics, depending on the algorithm (regression, classification or clustering). Python and frameworks / libraries like Pandas for data wrangling. Scikitlearn, Tensorflow/Keras and Numpy for machine learning and scientific computing models in conda environments and Jupyter notebooks integrated in the IBM Cloud.
- Santos Brasil 2019
Solve and pass on technical problems of the company\'s systems to analysts, such as bugs, dealing with debugging, troubleshooting and technical support for both internal employees and customers. The languages used: C # / .NET (on newer systems), Visual Basic (on older systems), ASP, Uniface, JAVA, Oracle database and using SQL for data manipulation.