Bridging Technology & Civic Leadership
Tallinn Youth Council Member • Data Scientist
I base decisions on data-driven analysis to identify opportunities, optimize processes, and continuously improve efficiency and overall performance.
About me
My journey in IT and politics
My interest in technology began in December 2020, when a friend introduced me to game development on Roblox. That moment sparked years of hands-on experimentation in 3D modeling, Lua programming, and collaborative game development. Together with friends, I built projects we genuinely wanted to play or used as a way to explore new technical ideas. Over time, my focus shifted away from gaming itself toward creating work with broader real-world impact. After experimenting with C++ and app development, I found my direction in ML and Data Science. Since then, I have been working on machine learning and data-driven projects while deepening my understanding of history, economics, and the startup ecosystem through books and lectures, including works such as Zero to One. In 2025, I was elected to the Tallinn Youth Council, where I actively work on initiatives aimed at improving the quality of life for young people in Tallinn. This role allows me to combine my technical background with civic engagement, using data and technology to support better decision-making and meaningful youth-focused change.
Expertise
Core competencies across technology and civic engagement
Featured Projects
Impactful work at the intersection of data and policy
Voter Group Targeting via Reinforcement Learning
Designed a Reinforcement Learning system with a single decision function that selects one voter group to campaign for at each step. Increasing support in the targeted group simultaneously decreases popularity in other groups, forcing the agent to learn optimal trade-offs. The model was trained on synthetic data inspired by the 2023 Estonian parliamentary elections.
Fantasy: Find the Best Spot to Campaign in Lasnamäe
I developed an algorithm that identifies the best campaign locations by matching user profiles with district demographics. It features a neural network trained on Estonian election data to predict support levels. While it uses real Estonian party names, the district data is purely fictional or generated by AI for simulation purposes. Please enjoy it as a creative project and do not take the results seriously.
Youth as District Development, Lasnamäe
I am involved in the Youth as District Development program in Lasnamäe, where we engage young people in shaping the future of our district. We organize events like school visits to gather feedback, workshops, and participatory cafés. We use this feedback to help the District create better opportunities and activities for youth. This project gives me valuable experience in leadership and event organization.