Computer Science & AI Student | Aspiring AI Data Analyst

Viktoriia Stepanenko

About Me

vstepanenko.ieu2024@student.ie.edu

+34 651 697 406

Adaptable, driven second-year Computer Science & Artificial Intelligence student at IE University, ranked in the Top 15% of her cohort. Junior Macro Quantitative Analyst at EDEN Fund, contributing modular Python research utilities and clean workflows for AI-driven macroeconomic models. Currently a Generative AI Engineering Intern and Amazon Extern in Operational Strategy & People Analytics, applying data analysis and AI techniques to real-world business and technical challenges. Multilingual in Ukrainian, Russian, English, and Polish, with a strong interest in building a career as an AI Data Analyst focused on impactful, data-driven solutions.

Work Experience

Jan 2026 - Present

Generative AI Engineering Intern - Twinfluence / Bankuish

Internship

– Contributing to core engine development for AI Digital Twins by implementing and optimizing algorithms for data processing, model fine-tuning, and real-time rendering.

– Conducting research on emerging LLM and generative-AI tools to enhance processing speed and output quality; performing rigorous debugging, testing, and code reviews while collaborating in agile sprints and daily stand-ups to align engineering work with the product roadmap.

Dec 2025 - Present

Amazon Externship - Extern

Operational Strategy and People Analytics Extern

– Selected 1 of 2 candidates from a pool of 400+ applicants for my top-choice Amazon externship.

– Will leverage Python-based NLP and sentiment-analysis techniques on employee feedback to generate data-driven recommendations that inform and accelerate operational strategy.

Aug 2025 - Present

EDEN Fund - IE University

Junior Macro Quantitative Analyst

– Member of the Quant Team developing AI-driven models to analyze macroeconomic data, support investment strategy decisions.

– Refactored the team’s quant research codebase into clean, modular Python utilities (split large notebooks, removed duplication, added clear docstrings), improving readability and speed of iteration.

Jan 2025 - Jun 2025

AI LAB (IEU) - Frutas Prohibidas

Team Lead and Data Engineer

– Led a team of 5; co-owned the tech build with a 3-member implementation group.

– Delivered an AI-powered web app with integrated client restaurant data.

Education

2024 - Present

Bachelor in Computer Science and AI

IE University - Madrid, Spain

– GPA: 8.7/10.00; Ranked 13th out of 85 (Top 15 %); IE Foundation Fellow; Women in STEM and Academic Excellence Scholarships

– Relevant subjects: Discrete Mathematics – 9.5/10, Statistics and Probability – 9.33/10, Physics – 9/10

2024 - Present

Bachelor in Marketing (Correspondence form)

State University of Trade and Economics - Kyiv, Ukraine

– GPA 5.0/5.0

Skills & Expertise

Computer Skills

Advanced proficiency in Python, MS Office and Mac/Windows, intermediate knowledge of programming in C, C++, HTML, cloud computing, WordPress, web and web application development, chatbot frameworks, virtual tour creation

Courses

“Getting started with the Storage Badge” by AWS. (Sep 2025)

“Getting started with the Compute Badge” by AWS. (Sep 2025)

Languges

Ukrainian (Native). English (Fluent). Russian (Fluent). Polish (Intermediate). Spanish (Beginner).

Volunteering

Worked with Ukrainian Volunteer Team to support children affected by the war in Ukraine (Kyiv, Ukraine. Dec 2024).

Interests

Volleyball (2023 School’s Team Champion), table tennis, badminton, singing, hiking, reading.

AI-Driven Investment Analysis Platform

Artificial Intelligence

Client

The client, EDEN Fund, is a forward-thinking investment firm seeking to leverage AI for macroeconomic analysis.

Date

Completed in November 2025

My Role

Artificial Intelligence, Data Analysis
This project involved developing an AI-driven platform to analyze macroeconomic data, providing strategic insights for investment decisions. My role included refactoring the codebase to enhance performance and readability, and implementing advanced algorithms to improve data processing efficiency. The project successfully delivered a robust tool that supports the client’s strategic objectives, showcasing the potential of AI in financial analysis.

Products I’ve Worked With

Phone

+34 651 697 406

Madrid, Spain