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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: [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

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Diovani Dupont's Projects

birdclef2023 icon birdclef2023

The following code is a script developed for Kaggle’s BirdCLEEF 2023 competition, it is a machine learning script that processes, trains and evaluates an audio classification model, based on features extracted from audio files. It uses the RandomForestClassifier algorithm to train a model that identifies birdsong in audio recordings.

capao-imoveis-dash icon capao-imoveis-dash

Capão da Canoa Sales is a sales analysis panel for the real estate market in the city

challengeone_conversor_moeda icon challengeone_conversor_moeda

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.

challengeone_hotel_alura icon challengeone_hotel_alura

Aplicativo Java projetado para autenticar e gerenciar reservas de hotel. Este sistema permite que apenas usuários autorizados acessem e modifiquem os detalhes das reservas, garantindo a segurança e a integridade dos dados dos hóspedes.

consultor_de_saude_imc icon consultor_de_saude_imc

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.

desafio-cientista-de-dados-indicium icon desafio-cientista-de-dados-indicium

Este projeto foi desenvolvido como parte de um desafio técnico proposto pela Indicium, visando demonstrar habilidades em resolução de problemas de negócios, análise de dados e aplicação de modelos preditivos no contexto do mercado de aluguéis temporários.

dio-lab-open-source icon dio-lab-open-source

⚠LEIA A ISSUE FIXADA! Repositório do lab Contribuindo em um Projeto Open Source no GitHub da Digital Innovation One.

forage-lyft-backend icon forage-lyft-backend

This repository contains the refactored code of a Back-End Engineering project for the development of a component that is used by the new logistics system for Lyft's rental fleet.

mcdonalds_nutrition_analysis icon mcdonalds_nutrition_analysis

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 alimentos do cardápio têm teor máximo de sódio

mllib_deteccao_anomalias icon mllib_deteccao_anomalias

Utilizando MLlib biblioteca de aprendizado de máquina do Apache Spark, para analisar as temperaturas de um grupo de cidades ao redor do mundo.

solarpaneldetection icon solarpaneldetection

The following code is a script developed for a challenging competition in Solafune's Data Science area, focused on detecting solar panels in satellite images.

spacetitanic icon spacetitanic

The following code is a script developed for the Spaceship Titanic competition, it proposes a scenario where the spaceship collides with a space anomaly. The challenge is to predict, based on a given dataset, which passengers were transported.

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