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Full-Stack Developer | Financial Technology Engineer | Data Analytics • Cloud • Risk & Fraud Systems
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Risk-Engine-simulator
April 6, 2026 – Present
Risk engine simulator in FastAPI with historical, parametric and Monte Carlo VaR/ES, portfolio modeling, market-data loading, chart generation and reporting, plus English docs and dark-theme visual assets.
View ProjectFinancial-Crime-Intelligence-System
April 6, 2026 – Present
Machine learning-powered financial crime detection system. Analyzes transaction networks with Isolation Forest and Local Outlier Factor for anomaly detection, plus risk scoring models. Includes Spring Boot REST API for fraud insights, graph visualization, and scalable data processing. Empowers institutions with real-time actionable intelligence.
View ProjectFRAUD-DETECTION
March 14, 2026 – Present
A complete end‐to‐end fraud detection system built with Python and Machine Learning. Includes data preprocessing (scaling, PCA, SMOTE), model training with XGBoost, full evaluation with visualizations, and a production‐ready FastAPI endpoint for real‐time predictions.
View ProjectCDPROJEKT-STOCK-FORECAST
March 13, 2026 – Present
A data analysis project forecasting the stock price of CD Projekt using historical data from 2015–2024. Includes data preparation, ARIMA modeling, forecasting, technical indicators, and a final analytical summary.
View ProjectSmartGarden
June 16, 2024 – June 27, 2024
This project aims to assist busy professionals in taking care of their plants. Understanding that the hustle and bustle of daily life can make it difficult to remember plant care, we provide smart solutions to ensure your plants thrive effortlessly.
View ProjectSwarmAlgorithm
March 29, 2022 – March 29, 2022
The project is a variation of the bee algorithm aimed at solving the traveling salesman problem. The algorithm randomizes the position of eight ones and then sets the paths one by one. Additionally, in the text file, he draws the road according to the correctness of the solution.
View ProjectCultural Fit Analysis
The candidate demonstrates a strong interest in data science, machine learning, and financial applications, which aligns well with a Data Scientist role. The diversity of personal projects, from web development to complex ML systems, indicates a broad curiosity and willingness to learn new technologies. However, the lack of team-based projects or professional experience makes it challenging to fully assess cultural fit in a collaborative corporate environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive and self-driven individual, capable of taking on complex personal projects. The focus on end-to-end solutions suggests an understanding of practical application and deployment. However, without specific psychometric test results or interview data, it's difficult to assess collaboration, stress handling, or work attitude.