Data Analyst, Engineer & Systems Engineer

4th-year Information Systems Engineering student at Vilnius University. Currently working as a Software Engineer at Compensa Life, bridging the gap between robust backend systems and actionable data insights.

Data Processing & Machine Learning

Comprehensive analysis of machine learning algorithms, from data preprocessing to model evaluation.

Academic Research

Online Tracking Research (Radboud Univ.)

Lead data analyst for a Master's course project on Online Tracking and Security. Analyzed web traffic data to identify tracking mechanisms.

PandasMatplotlibNetwork Security
Data Engineering

Data Processing & Analysis

Initial data cleaning and exploratory analysis. Handling missing values, outliers, and preparing the dataset for machine learning models.

PandasNumPyMatplotlib
Feature Engineering

Dimensionality Reduction

Applied PCA and t-SNE to reduce dataset complexity while retaining variance. Visualized high-dimensional data in 2D/3D space.

Scikit-LearnSeabornPCA
Unsupervised Learning

Clustering Algorithms Analysis

Comparative study of K-Means, DBSCAN, and Hierarchical clustering. Evaluated performance using Silhouette scores and Elbow method.

Scikit-LearnSciPyCluster Analysis
Supervised Learning

Classification Algorithms Analysis

Benchmarked various classifiers (Random Forest, SVM, Logistic Regression). Tuned hyperparameters to optimize accuracy and F1-score.

Scikit-LearnkNNModel Tuning
Polars vs Pandas

Pandas vs. Polars Benchmark

Comparative benchmark of Pandas vs. Polars for ETL tasks on crypto data. Evaluated performance for I/O, filtering, and aggregations, highlighting Polars' speed and memory efficiency.

PolarsPandasBenchmarking
Time Series Analysis

Crypto Market Analysis (Polars)

High-performance time-series analysis of 200k+ crypto price records using Polars. Computed technical indicators like MAs, Volatility, and Daily Returns.

PolarsMatplotlibPython

Featured Projects

Selected work demonstrating full-stack engineering, data analysis, and quantitative finance expertise.

Data Analysis & Frontend

Datamilitary.info

A hobby project tracking military equipment losses. Features a 'vibe-coded' frontend interface backed by data analysis done locally using Python (Pandas, NumPy) to process and visualize conflict data.

Python
Pandas
Nextjs
Data Visualization
Quantitative Finance

QAOA Portfolio Optimization

Investment portfolio optimization using the Quantum Approximate Optimization Algorithm (QAOA). Demonstrated how quantum computing concepts can be applied to solve the KNAPSACK problem in finance.

Quantum Computing
Python
Qiskit
Optimization
Full-Stack Engineering

Aktoriugildija.lt Platform

2025 summer paid project: full-stack ASP.NET Core system for actor management. I engineered the entire backend, created and implemented complex functional requirements, a CRM with payment integration, automated background jobs (cron), email notifications, and detailed analytics.

ASP.NET Core
SQL Server
Background Jobs
Payments

Let's Connect

I'm currently available for freelance projects and full-time opportunities. If you're interested in working together, feel free to reach out.