Skip to content
View diovani-dupont's full-sized avatar
🤩
Always ready for new challenges!
🤩
Always ready for new challenges!
Block or Report

Block or report diovani-dupont

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
diovani-dupont/README.md

diovani

  • 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: diovani@dewesdupont.com.br

  • 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

icon-Js icon-Js icon-Js icon-Js icon-Js icon-Js icon-Js icon-Js icon-Js icon-Js icon-Js icon-Js icon-Js

Popular repositories

  1. analise-imoveis-capao analise-imoveis-capao Public

    Web Scraping, EDA e Modelo para Previsão de Preços

    Jupyter Notebook 1 2

  2. ChallengeOne_Conversor_Moeda ChallengeOne_Conversor_Moeda Public

    Aplicativo em Java que converte entre várias moedas. Este conversor usa uma API para obter cotações em tempo real e apresenta uma interface de usuário desenvolvida com JavaFX.

    Java 1

  3. diovani-dupont.github.io diovani-dupont.github.io Public

    My Personal Portfolio Website

    JavaScript 1 2

  4. diovani-dupont diovani-dupont Public

    Readme

  5. consultor_de_saude_imc consultor_de_saude_imc Public

    Cálculo de IMC utilizando comando de voz e acessando banco de dados My SQL para consulta de uma lista de profissionais de saúde do BR.

    Python

  6. mcdonalds_nutrition_analysis mcdonalds_nutrition_analysis Public

    Análise exploratória da tabela McDonald's_nutrition para a estrutura de dados DF usando o método read_SQL. Foram feitas algumas análises básicas de dados usando Python para descobrir quais alimento…

    Jupyter Notebook