Emerging talent in Data Science with Financial Controlling and Budgeting experience.
In this project, the next 60 days of Rossmann's (Germany) average daily sales have been predicted using
time series analysis and hybrid boosting with a Root Mean Square Percentage Error: 0.1774.
Forecasting by using the SARIMAX approach is underway.
I created a dashboard of Rossmann stores sales data, and analysed the sales by;
- State
- Store
- Store Type
- Assortment Level
As a fellow anime fan, I wanted to make an anime recommendation system as a portfolio project.
To achieve this, I created a web scraper by using Jikan (時間) REST API to scrap 2334 TV anime productions data between 2010-2022 and 86269 individual users' data from the most used online anime and manga catalogue myanimelist[DOT]net.
In this project, I cleaned the given housing data of Nashville by using MySQL queries.
The project is inspired from a Microsoft SQL tutorial, I rewrote the query tasks in the tutorial in MySQL queries.
In this project, I applied multiple machine learning models on oxide content and reflexion index values of various glasses and classify them through 7 types of glasses. The most accurate model appeared as Extra Trees Classifier with 0.82 accuracy score.
I used Rossmann store sales data between 30.09.2015-12.12.2015 to create a simple, one page dashboard to analysed the periodical sales by;
- State
- Store Type
- Assortment Level
- ChatGPT Prompt in Action: An End-to-End Generic DS Project
- Anime Recommendation System Through Hybrid Clustering
- Deep-Learning project using Tensorflow/PyTorch