diovani-dupont/cadastro_equipamentos

Sistema de Cadastro de Equipamentos com Python e MySQL

• Professional graduated in Systems Analysis/Development with training in International Business/Foreign Trade, looking for an opportunity in the Data and/or Technology area where I can improve and expand my knowledge, always aiming for a good professional qualification.

• Know-how in analysis, extraction, treatment and manipulation of data, with the preparation of management reports, graphs, monitoring of performance indicators and provision of subsidies to support strategic decision-making.

• Academic technical knowledge in data science, big data, machine learning, artificial intelligence and back-end development, relying on the use of languages/tools and technologies: Programming Languages: Python, SQL, R and Java; Python libraries: Pandas, Numpy, Matplotlib, Scipy, Seaborn and TensorBoard; Big Data Tools: Apache Hadoop, HDFS, Apache Spark, MapReduce, YARN, Hive, Data Lake, Docker, Spark Streaming, Spark GraphX, MLlib, Spark SQL and Databricks. Machine Learning Tools: TensorFlow, Keras, PyTorch, Scikit-learn, Naive Bayes, Linear Regression, Decision Trees, Random Forest, Neural Networks, Support Vector Machines (SVM) and Recommendation; Relational Databases: MySQL, Oracle Database, Postgres/SQL and IBM Db2; Non-Relational Databases: MongoDB, Amazon DynamoDB and Redis.

• Active participation in the development of new projects/solutions, also carrying out research and analysis of trends and economic-financial market factors, identifying business opportunities and developing strategies to ensure the proper functioning of the operation.

• Professional highly qualified to work in a team, dynamic, with initiative, ease of learning and good interpersonal skills, dedicated to functions, focused on results and cost reduction. Organized, responsible and flexible.

• Keywords: Data analysis, data extraction, data processing, database, database, data manipulation, big data, business intelligence, management reports, charts, indicators, machine learning, artificial intelligence, technology, development solutions, back-end development, Python, SQL, R, Java, Pandas, Numpy, Matplotlib, Scipy, Seaborn, TensorBoard, Apache Hadoop, HDFS, Apache Spark, MapReduce, YARN, Hive, Data Lake, Docker, Spark Streaming, Spark GraphX, MLlib, Spark SQL, Databricks, TensorFlow, Keras, PyTorch, Scikit-learn, Naive Bayes, Linear Regression, Decision Trees, Random Forest.

• How to contact me:

• E-mail: [email protected]

• LinkedIn: LinkedIn

• Check out my website with a portfolio of projects I've developed | SITE

• Check out my Kaggle | SITE

• Check out my medium with data science projects | SITE