Hi! I'm Kseniia

I’ve never been particularly interested in staying in one technical box — and over time, that became one of my strengths. Working across data analysis, machine learning, software development, and security has taught me to move between different sides of a problem without treating them as separate worlds.

On the data side, I work with Python, SQL, scikit-learn, and NLP, exploring data, building models, and looking for patterns that are actually worth investigating. On the build side, I work with JavaScript/TypeScript, React, Node.js, MongoDB, and REST APIs, turning ideas into complete applications rather than stopping at individual components. I also have experience with authentication, cryptography, and secure application design.

My recent work has taken me from clustering vendor behavior in darknet marketplaces and experimenting with NLP to building a full-stack food delivery platform and security-focused systems from scratch. I’m now going deeper into AI/ML, while keeping the range that lets me move comfortably between analysis, models, and software engineering.

Resume Contact

About me

Before I started working with data, I was studying International Relations with business major in Russia. Over time, I realized I was far more drawn to data, technology, and programming than to diplomacy, so I moved to Sicily, Italy, and switched my focus to Data Analysis, which I’ve been studying for the past three years. This mix of backgrounds has given me a unique perspective: business studies taught me how organizations operate and grow, while data analysis gave the skills to work with code, data, and analytics to make that growth happen. I’m especially interested in creating tools and solutions that unite these two worlds — helping businesses make smarter, data-driven decisions. Outside of tech, I’m passionate about freediving — the sport that gives me mental peace and focus — as well as gaming, traveling, and trying out new extreme sports and hobbies.

Location:Messina, Italy
Age:24
Nationality:Russian
Interests:Freediving, Gaming, Reading
Study:University of Messina

Education

International Relations

Saint Petersburg State University•2019 - 2022

Studied International Relations at Saint Petersburg State University with a focus on politics, business and entrepreneurship. Developed strong skills in languages, including advanced English for professional use and Swedish.

Bachelors in Data Analysis

University of Messina•2022 - Present

Currently in the final year of my Data Analysis degree in Italy, where I have gained extensive knowledge in computer science and data analysis. My studies cover programming in C, Python, and Java, databases, web programming, machine learning, AI, and related fields.

Work

Quality Assurance Tester

Freelance•2021 - 2022

Worked as a freelance QA tester on crowdtesting platforms such as TestIO, testing a variety of commercial websites and mobile applications. Gained experience both independently and within tester teams, performing cross-device and cross-OS testing (including virtual machines) and documenting/reporting bugs to ensure functionality, usability, and quality.

Skills

Spoken languages

Russian

English

Italian

French

Swedish

Programming and Development

Python

Java

React

Data Analysis and Databases

Jupyter Notebook

MATLAB

SQL

MongoDB

Web and Technical Skills

HTML & CSS

Excel

Jira

Node.js

Take a look at my work

Munch - Food Delivery Website

Munch is a full-stack food delivery platform, where users can browse food items, add them to their cart, make payments and place orders. It was built with the MERN stack.

Monstrum - Strategy Game in Java

Monstrum is a strategy game developed in Java, where players command a monster and engage in tactical battles. The game features various character classes and game modes.

Shark Attack Fatality Prediction

This machine learning project uses real-world shark attack data to predict whether an incident is likely to be fatal or non-fatal, based on various features such as location, activity, time, and victim profile. It demonstrates the full data mining pipeline using a Jupyter Notebook.

Gun Violence Severity Prediction

This project aims to predict the severity of gun violence incidents using machine learning techniques. It analyzes various factors such as location, time, and incident characteristics to provide insights into potential outcomes.

Yoga Studio Landing Page

A responsive React landing page for a yoga studio, built with React and focused on clean design, usability, and mobile responsiveness.

Digital Forensics Workspace

A full-stack digital forensics workspace designed for secure evidence management, anomaly detection, and investigation support.

Get in touch.

I`m always open to new projects, ideas and opportunities. Let`s connect and collaborate!

Email: spiriiito@gmail.com
Location: Messina, Italy
Instagram: @ksusha.starr
Github: spiriiito