In this experience, I developed a backend capstone project using technologies such as C#, .NET, React TypeScript, Blazor, Vite, and MariaDB. Within the project scope, I successfully performed web scraping operations using the Selenium library to extract product data from a website. During the scraping process, I utilized SignalR to provide real-time log updates to the user.I stored the scraped product data in a MariaDB database and added a feature to send the saved data to the user via email in the form of an Excel file. Additionally, I leveraged the Blazor framework to develop the user interface, enabling users to filter data and initiate scraping operations.Throughout the project, I implemented JWT (JSON Web Token) for secure user management and authentication procedures.This experience allowed me to enhance my practical skills in backend development and successfully complete a complex project by integrating various technologies. It demonstrated my ability to create sustainable and innovative solutions.For more details and project code samples, you can visit my GitHub profile.

Logistics DepartmentVehicle occupancy report with Power BI

-Python Programming for Data Science-Data Analysis with Python-CRM Analytics (Introduction to CRM Analytics, RFM Analysis, Customer Lifetime Value, Customer Lifetime Value Estimation)-Measurement Problems (Product Rating, Product Ranking, Comment Ranking, A/B Testing)-Recommendation Systems (Association Rule Learning, Content Filtering, Memory-Based Collaborative Filtering, Model-Based Collaborative Filtering (Matrix Factorization))-Feature Engineering (Outliers, Missing Values, Encoding & Scaling, Feature Extraction)-Machine Learning (Linear Regression, Logistic Regression, KNN, CART, Unsupervised Learning)-Time Series (Statistical and Econometric Time Series, Time Series Modeling with Machine Learning)