yigidatalp
Industrial Engineer, MSc skilled in Business Intelligence, Data Analytics, and Operations Research
DataOpt B.V.Eindhoven, Netherlands
Pinned Repositories
AirBnB_Data_Visualization
In this project, I used the data from AirBnB dataset in Kaggle and created a dashboard for data visualization.
Amazon_Web_Scraper
In this project, I scraped a specific product's name and price data from Amazon. After, I created a CSV file with product, price, and date headers. Then, I created methods to automate web scraping and sending e-mail tasks.
Automation_for_API_pull_from_Crypto_Website
In this project, I created a method to use coin market cap website's API to pull data from it. After, I used Python to pull all the data and created a CSV file to append them. Then, I again used Pandas to process the data in this CSV file and created visualizations by using Matplotlib and Seaborn.
COVID19_Data_Analysis_and_Visualization
In this project, I used the data from COVID19 dataset in (https://ourworldindata.org/covid-deaths) website. After, I analyzed the data with T-SQL. Then, I visualized the data by creating a Tableau dashboard.
CRM-Analytics-with-RFM-CLTV-and-Un-supervised-Learning
CRM Analytics with RFM segmentation, CLTV calculation, and ML (un/supervised) to predict future segmentations.
Customer_Call_List_Data_Cleaning
In this Project, I used the data from customer call list dataset in Kaggle and performed a data cleaning with Pandas in Spyder IDE.
Data_Professional_Survey_Breakdown
In this project, I used the data from data professional dataset in Kaggle and applied an ETL (Extract, Transform, and Load) process by using Power Query. Then, I created a dashboard to visualize all the insights.
Exploratory_Data_Analysis_on_World_Population
In this project, I performed EDA (Exploratory Data Analysis) on world population data with Pandas. Then, I created visualizations with Matplotlib and Seaborn.
freeCodeCamp-Data-Analysis-with-Python-Projects
In this repository, I completed all of the Data Analysis with Python Projects to earn the freeCodeCamp's Data Analysis with Python certification.
Movies_Correlation
In this project, I used the data from movies dataset in Kaggle and analyzed what variables affect the gross revenue. Then, I created a correlation matrix heatmap and regression plot by using Matplotlib and Seaborn. Also, I processed data by converting all non-numeric variables into numeric ones and then normalized this converted data.
yigidatalp's Repositories
yigidatalp/AirBnB_Data_Visualization
In this project, I used the data from AirBnB dataset in Kaggle and created a dashboard for data visualization.
yigidatalp/Amazon_Web_Scraper
In this project, I scraped a specific product's name and price data from Amazon. After, I created a CSV file with product, price, and date headers. Then, I created methods to automate web scraping and sending e-mail tasks.
yigidatalp/Automation_for_API_pull_from_Crypto_Website
In this project, I created a method to use coin market cap website's API to pull data from it. After, I used Python to pull all the data and created a CSV file to append them. Then, I again used Pandas to process the data in this CSV file and created visualizations by using Matplotlib and Seaborn.
yigidatalp/COVID19_Data_Analysis_and_Visualization
In this project, I used the data from COVID19 dataset in (https://ourworldindata.org/covid-deaths) website. After, I analyzed the data with T-SQL. Then, I visualized the data by creating a Tableau dashboard.
yigidatalp/CRM-Analytics-with-RFM-CLTV-and-Un-supervised-Learning
CRM Analytics with RFM segmentation, CLTV calculation, and ML (un/supervised) to predict future segmentations.
yigidatalp/Customer_Call_List_Data_Cleaning
In this Project, I used the data from customer call list dataset in Kaggle and performed a data cleaning with Pandas in Spyder IDE.
yigidatalp/Data_Professional_Survey_Breakdown
In this project, I used the data from data professional dataset in Kaggle and applied an ETL (Extract, Transform, and Load) process by using Power Query. Then, I created a dashboard to visualize all the insights.
yigidatalp/Exploratory_Data_Analysis_on_World_Population
In this project, I performed EDA (Exploratory Data Analysis) on world population data with Pandas. Then, I created visualizations with Matplotlib and Seaborn.
yigidatalp/freeCodeCamp-Data-Analysis-with-Python-Projects
In this repository, I completed all of the Data Analysis with Python Projects to earn the freeCodeCamp's Data Analysis with Python certification.
yigidatalp/Movies_Correlation
In this project, I used the data from movies dataset in Kaggle and analyzed what variables affect the gross revenue. Then, I created a correlation matrix heatmap and regression plot by using Matplotlib and Seaborn. Also, I processed data by converting all non-numeric variables into numeric ones and then normalized this converted data.
yigidatalp/Mushroom_Classification_Project
I performed multiple machine learning models as classifiers to decide whether mushrooms are edible. In this project, I also performed tailored aggregation, plotting, and encoding as Exploratory Data Analysis with bivariate approach.
yigidatalp/Nashville_Housing_Data_Cleaning
In this project, I used the data from Nashville housing dataset in Kaggle and performed data cleaning with T-SQL in SQL Server Management Studio.
yigidatalp/Time-series-Analysis
I performed Time-series Analysis with visualization libraries and XGBoost regressor in Python on electricity consumption dataset from Kaggle.
yigidatalp/Wikipedia_Web_Scraper
In this project, I scraped the list of the largest companies in the US by revenue from Wikipedia.
yigidatalp/XGBoost_on_HousingPrices
In this project, I used the data from housing prices dataset in Kaggle and performed feature engineering. Then, I implemented XGB Regressor technique to predict SalePrice as the target variable. Ranked in Top 1%.
yigidatalp/yigidatalp.github.io
My website.