Portfolio | Data Analytics & Applied AI

Data Analytics & Applied AI

I design data-driven tools, research workflows, and analytics projects that turn complexity into clear, useful decisions.

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Current Focus

Building portfolio projects that blend analytics, prediction, and workflow design.
Developing strong foundations in data storytelling, experimentation, and model evaluation.
Exploring practical AI products that support real-world decision making.

About

A transition grounded in analytical thinking and practical execution.

This first portfolio version introduces the kind of work I want to do: thoughtful analytics, applied machine learning, and products that make technical insight easier to use.

I'm moving into data analytics and applied AI through hands-on projects that combine research, data interpretation, and technical problem solving. My interest is in building systems that are not only technically sound, but also clear, useful, and easy to trust.

More about my background

Projects

Selected projects across analytics, machine learning, and trading automation.

This section highlights practical projects I built to show analytical thinking, technical execution, and the ability to turn ideas into working systems.

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Machine Learning

Investment Campaign Targeting with ML

Built a classification model to identify 3,000 banking clients most likely to invest in a second campaign round. Compared 5 models and selected Logistic Regression based on performance and interpretability.

Pythonscikit-learnSQLBinary Classification

GitHub Streamlit Article

Trading Automation

Intraday Futures Trading Bot

Designed an event-driven decision engine in Python that reacts to intraday market data, evaluates signal conditions, and manages automated trade execution through the Interactive Brokers API.

PythonReal-Time Data ProcessingEvent-Driven ArchitectureAPI IntegrationAlgorithmic Trading

GitHub Article

Trading Automation

Intraday Options Trading Bot

Built a second version of the decision engine for options instruments, adapting execution logic and risk rules to a different asset structure.

PythonReal-Time Data ProcessingEvent-Driven ArchitectureAPI IntegrationAlgorithmic Trading

Skills

A focused toolkit for analytics, experimentation, and applied AI work.

The emphasis is on clear analysis, structured experimentation, and turning technical outputs into something decision-ready.

Analytics

SQL
Python
Pandas
Data Visualization

Modeling

scikit-learn
Experiment Design
Feature Engineering
Evaluation

Tools

Jupyter
Git
Streamlit
Dashboards

Assistant

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Contact

Open to analytics and applied AI opportunities.

If you're hiring for a junior or transition-friendly role, or you want to discuss a project, I'd be glad to connect.

Get In Touch trnkovaz@gmail.com