Developer with a background in Banking and Finance, focused on building web applications, backend services, and data-driven business solutions.
I combine software development, data analysis and business knowledge to design practical technological solutions, with experience in Java, Spring Boot, React, JavaScript, SQL and Python.
My projects cover backend development, microservices, web applications, data analysis and Business Intelligence, with a focus on solving real business needs through technology.
- Background in Banking and Finance, transitioning into software development.
- Experience with Java, Spring Boot, REST APIs, SQL, MongoDB.
- Building applications with React and JavaScript.
- Data analysis using Python (Pandas, Matplotlib, Seaborn).
- Knowledge of business processes, data modeling, and BI tools.
- Interested in opportunities involving Backend, Full Stack, Automation, Data, and Business Intelligence.
"Each project reflects my focus on connecting backend systems, data analysis, and business processes to deliver practical solutions."
Web application for the managing and selling handmade products, combining e-commerce functionality with business-oriented features.
Technologies: React · Vite · Tailwind CSS · JavaScript · REST APIs · LocalStorage
Focus: E-commerce · Sales · Products · Business Processes · UX
Backend solution based on a microservices architecture for banking operations, developed using reactive programming and REST APIs.
Technologies: Java · Spring Boot · Spring WebFlux · MongoDB · REST APIs · Postman
Focus: Backend Development · Microservices · APIs · Banking Domain · Software Architecture
Repository-transactions Repository-customers
Data analysis project focused on understanding customer behavior and identifying factors associated with customer churn.
Technologies: Python · Pandas · Matplotlib · Seaborn · numpy · Jupyter Notebook · Google Colab
Focus: Data Cleaning · Exploratory Data Analysis · Data Visualization · Customer Churn · Business Insights
Business Intelligence solution designed to organize and analyze sales, costs, products and business performance through structured data and KPIs.
Technologies: Excel
Focus: Data Modeling · ETL · Sales Analysis · KPIs · Business Intelligence · Process Automation
Data analysis project focused on evaluating sales performance, product behavior and business indicators to support business decision-making.
Technologies: Python · Pandas · Matplotlib · Seaborn · numpy · Google Colab
Focus: Data Analysis · Data Visualization · Sales Performance · Business Insights
- Backend & APIs: Java · Spring Boot · REST APIs · Microservices
- Databases: SQL Server · MySQL · Oracle · MongoDB
- Data Analysis: Python · Pandas · Matplotlib · Seaborn
- Business Intelligence: Excel · Power BI · ETL basics
- Frontend: React · Next.js · Vite · Tailwind CSS · HTML · CSS
- Other Tools: Git · GitHub · Postman · Jira · Trello · Notion · Figma
- Extra: Node.js · Jupyter Notebook · Google Colab · UniVerse-SQL
I focus on backend development and data-driven solutions, applying my knowledge and personal projects to connect technology, data, and business processes.
My goal is to continue growing as a developer, building solutions that integrate backend systems, data analysis, and business intelligence to solve real business problems.
Building software, working with data, solving business problems.