Projects

Form Application for Nutrition Business:

Developed a Python form application to streamline daily operations at a nutrition business. The application facilitates client data collection and management, enhancing operational efficiency and business organization.

The technologies used were:
Python, Numpy, Pandas, Matplotlib, Customtkinter, Pillow.

Repository:

Data Analysis Projects:

Currently, I am focused on conducting data analysis projects, exploring various techniques and tools to extract meaningful insights from diverse datasets. Each project represents a step forward in my ongoing education and my dedication to learning and continuous improvement in the field of data analysis.

The technologies used were:
Python, Pandas, NumPy, Matplotlib, Seaborn, Jupyter Notebooks, scikit-learn, Kaggle.

Repository:

Google Scholar Article Search and Filter:

This project provides a tool that automates the search for academic articles on Google Scholar using the SerpApi and filters results based on specific keywords and topics. The application features an intuitive graphical user interface (GUI) built with tkinter, allowing users to input their API key, define search queries, and specify filtering criteria. Results are saved to Excel files and can be further filtered by examining the content of linked web pages.

The technologies used were:
Python, Pandas, openpyxl, requests, BeautifulSoup, serpapi, tkinter.

Repository: