yigidatalp Goto Github PK
Name: Yigitalp Ozmen
Type: User
Company: DataOpt B.V.
Bio: Industrial Engineer, MSc skilled in Business Intelligence, Data Analytics, and Operations Research
Location: Eindhoven, Netherlands
Yigitalp Ozmen's Projects
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.
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.
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.
time-series-analysis
I performed Time-series Analysis with visualization libraries and XGBoost regressor in Python on electricity consumption dataset from Kaggle.
wikipedia_web_scraper
In this project, I scraped the list of the largest companies in the US by revenue from Wikipedia.
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.github.io
My website.
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