Summary

I created a gazetteer application that dynamically populates a map with coordinates from a geojson file. The app retrieves data such as weather, Wikipedia articles, news, currency exchange rates, and general country information via third-party APIs. Despite encountering the challenge of having to implement an unfamiliar Leaflet.js library, I managed to proficiently integrate it, resulting in a user-friendly "mobile-first" solution that is both functional and intuitive. The application, built with HTML, CSS, JavaScript, and JQuery, interfaces with PHP server-based components to fetch data from third-party APIs like Geonames and OpenWeather. By effectively overcoming challenges and fulfilling the project's requirements, I ensured the application is both functional and user-friendly.

Summary

In this small project I fited diffrent degrees of polynomial reggresion, and than calculated metrics, to choose the best model.

Summary

Summary

Working on Next-Buy E-Commerce store was a project I really enjoyed and learned a lot from. The project required knowledge and skills in Node.js, Express, React, and PostgreSQL. At the beginning of the project, I started by imagining the flow of actions we perform when we make online purchases. Now I had to translate this real-life experience into structured code and components. Based on that, I began to envision the creation of the database and the relationships between the tables. I created routes for every possible action, ensuring that routes with sensitive personalized information required authentication. Security was a must; during user registration, I implemented advanced cryptographic techniques, integrating hashing and salting to enhance password protection. For the authentication, I chose Passport with the "local" strategy, recognizing its versatility and reliability for handling email and password verifications. Using React's component-based structure made my front-end more organized, and data sharing between sections became very smooth. I really enjoyed this project, and I plan to scale and improve it further.

Summary

Road Accidents PowerBI 📚🗂️🧮

This project was focused on gaining practical knowledge of Power BI. I cleaned data, replaced faulty values, and created a Calendar Table connected to accident records. I also built dynamic visualizations and used measures to create an interactive dashboard.

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Global Sales PowerBI (Sales Performance Dashboard) 📈🔍📉

Using a Super-Store dataset, I performed an Exploratory Data Analysis (EDA) and created KPIs using DAX in Power BI. The final output was an interactive dashboard meeting the stakeholders' requirements.

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Correlation Python 🔍📉🔢

My aim in this project was to learn and practice correlation. I cleaned missing data, handled duplicates, and visualized correlations using scatterplots. Additionally, I created a heatmap for the correlation matrix and studied correlation significance using the t-test, specifically focusing on t-values and p-values.

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Turkish Elections Result Analysis 📊💻📈

In this project, I collected election data, merged it with GeoJSON, and created an interactive map using D3 to visualize election results.

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