Analyzing: Using PostgreSQL to create data warehouses or ETL processes and PowerBi to get a view of sales in a more user and developer friendly way.

Data Analysis and Predictive Modeling: Utilized Python, including libraries such as NumPy, Pandas, and Matplotlib, to conduct in-depth data analysis and predictive modeling, particularly in the domain of financial services. Employed machine learning techniques, including supervised algorithms and PyTorch, to assess banking risk and forecast potential outcomes related to credit and savings.

I have proficiency in utilizing various development environments such as Visual Studio Code, Spyder, and Google Colab for coding purposes.

Metric Development and Interactive Dashboards: Spearheaded the creation of intricate SQL queries and Python scripts to compute financial metrics. Crafted dynamic and interactive dashboards using Power BI.

Continuously leverage SQL within Python to construct intricate queries, enhancing the analytical process.

Utilized Object-Oriented Programming principles in Python to develop modular classes, facilitating easier troubleshooting. Additionally, leveraged these classes to develop desktop system dashboards.

Used GIT (GitHub) as Version Controller.

Knowledge and experience in the agile Scrum methodology, including sprint planning, daily meetings, retrospectives and reviews.

Creation of Desktop System: Utilized IDE Lazarus (Pascal) along with other software tools to develop desktop accounting systems."

Managing database: Used PostgreSQL, and SQL Server to create and manage the database.

Front End: Used tools such as HTML, JavaScript, and CSS to develop a Financial Web Application.

Used Subversion (Tortoise) for maintaining current and historical versions of the projects

Used Scrum for incremental product development

Used Development Object-Oriented.