University of Zagreb / Sveučilište u Zagrebu

Technological University Dublin

Skills: NLP Libraries · Machine Learning · Data Science · Statistical Data Analysis · Teamwork · Natural Language Processing (NLP) · Statistics · Problem Solving · Predictive Modeling · Computer Science · Statistical Modeling · Statistical Programming · Big Data · TensorFlow · Deep Learning · Data Visualization · Large Language Models (LLM) · Python (Programming Language) · Pandas (Software)

Citeline

Senior Data Scientist

Built and evaluated a variety of machine learning models including the churn model using deep learning methods like LSTMs, and NLP models like Latent Dirichlet Allocation in ScalaSpark enhancing the company's predictive capabilities.
Use Case: Improved the churn models for telecom clients, leading to significant cost savings by accurately predicting customer turnover.

IntentHQ

- Led the transformation of models from Excel to Python and improved them, built new machine-learning models, led the efforts on creating the proper data lake/database for data storage, and sourced new weather and oil refinery data
- Collaborated with a team of analysts to establish software development best practices, including GitHub usage and code reviews.
Use Case: Established the foundational framework for the data science team, paving the way for advanced AI initiatives, modernized the company’s technology stack, thereby significantly enhancing analytical capabilities and enriching decision-making insights

S&P Global Platts

Researched and implemented ML/NLP algorithms to analyze and predict the popularity of articles for The Times, while also mentoring junior data scientists and engaging with stakeholders to ensure data science solutions met business needs.
Use Case: Collaborated with journalists to optimize content creation, building ML/NLP models to predict reader preferences and engagement.

News UK

Data Scientist/Machine Learning Researcher

- Joined as the first data scientist in a startup, worked closely with the CTO and CEO in researching and developing innovative machine learning models for indoor positioning
- Addressed data scarcity innovatively by using my smartphone for data collection and orchestrating intern-led simulations of event attendee behavior, setting a solid foundation for realistic and practical model development.
Use Case: Developed a novel data collection method for indoor positioning by emulating real-world scenarios, significantly improving model accuracy. This initiative also laid the essential groundwork for establishing robust data science capabilities within the company.

Hiver

Data Scientist/Machine Learning Researcher 

Worked on earth observation technologies by utilizing computer vision and deep learning

LiveEO

Machine Learning Research Engineer

Established the data science department at a startup, working in tandem with data engineers to set up the core database infrastructure. I spearheaded the development of data-cleaning pipelines and the creation of the first machine learning models, significantly improving the accuracy of predictions for government contract allocations to businesses.

TenderScout

Data Scientist

Contributed as a Ruby on Rails Software Engineer in the development of a social networking application tailored for women, similar to Facebook, enhancing digital community building.

GirlCrew

Software Engineer

- Leveraged Ruby on Rails expertise to independently source and manage a diverse client portfolio, embodying an entrepreneurial approach and fostering strong client relationships.
- Led the end-to-end development, deployment, and testing of various web applications, both individually and in team settings, ensuring the delivery of customized software solutions.
- Played a key role in team expansions by interviewing and hiring new members, significantly boosting team productivity and cultivating a culture of leadership and collaboration.

Freelance (Self employed)

Ruby on Rails, HTML, CSS, jQuery, JavaScript

minus5 d.o.o

- Design, develop, and implement signal processing and pattern recognition algorithms to detect tube flaws of nuclear power plant steam generators (MatLab, C#.NET).
- Design, develop, and implement robot path planning algorithms for nuclear power plant steam generators inspection (MatLab, C#.NET).
- FEM (Finite Element Method) simulations of different piezoelectric materials and their behavior in ultrasonic transducers.

Lucija Gregov