8000 denisshiki (Dênis Shiki) · GitHub
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denisshiki/README.md

denisshiki

Print("Hello world, I'm Dênis")

I'm a passionate self-taught data scientist from Brazil.

Right now I'm studing Data Science and making projects to add in my portfolio.

My purpose is to use data to help people and companies to make better decisions.

def my_profile(pronouns, name_surname, description, education):

    pronouns = "He | Him"
    
    name_surname = ["Denis", "Shiki"]
    
    description = ["Optimistic", "Data_enthusiast", "Tech_enthusiast", "life_learning"]
    
    education = {college : "University of São Paulo (USP)", year_start : 2011, year_end : 2018}  
  • 📈 I’m currently learning Statistics and Machine Learning algorithms for my future Data Science projects.
  • 💬 ask me about anything, I'll be really happy to help 😄

Languages that I speak:


Denis-Ub Denis-TS Denis-Numpy Denis-SQL Denis-Jup Denis-Python Denis-Vs

Snake animation


PORTFOLIO PROJECTS

Sales Prediction (Portuguese)

sales1

Project:
Nesse projeto eu realizei uma previsão de vendas, respondendo a uma questão de negócios, sendo essa:
- Quais a previsão de vendas para as lojas nas próximas 6 semanas?
Com isso utilizaríamos algoritmos para realizar essa previsão para no fim gerarmos uma tabela contendo o lucro final previsto tanto no melhor como pior cenário.


Exploratory Data Analysis (EDA) (Portuguese)

exploration

Project:
Nesse projeto eu realizei um estudo de análise exploratória de dados, respondendo a duas questões de negócios, sendo essas:
- Quais os imóveis que deveríamos comprar e por qual preço?
- Uma vez comprados, quais imóveis deveríamos vender e por qual preço?
Com isso geraríamos uma tabela contendo o custo e o lucro final caso algumas condições impostas por nós fossem atendidas.


Churn Prediction (English - In progress)

churn-rate

Project:
In sthis project we'll predict how much clients will leave our company:
Once We analyse the data we'll use the Gain and Lift curve to drawn the scenarios and choose the scenario that has more ROI percentage.


STUDY PROJECTS

Human Resources Regression Techniques

Project:
In this project I did a model that predict the probability of an employee leave the company using logistic regression.


Customer Behavior Analysis Cluster Techniques

Project:
In this project I made a model that separate the clients in different groups using K-Means algotithm in order to give the marketing team a better understanding of our data.
One product that we'll send is a link containing the group data that you can see in the link below:
https://customer-behavior-cluster.herokuapp.com/

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