Marijo Alilović
Verified Expert in Engineering
Data Scientist and Developer
Zagreb, Croatia
Toptal member since June 15, 2022
Marijo is an experienced data scientist with a strong mathematics and mathematical statistics background. He is proficient in statistical analysis, data handling, and optimization techniques and effectively translates complex data into actionable insights, leveraging solid analytical reasoning and precise communication skills. Marijo is detail-oriented, proficient in R, SQL, and Python, and passionate about delivering data-driven solutions across diverse domains.
Portfolio
Experience
- R - 7 years
- Statistics - 5 years
- Optimization - 5 years
- Data Visualization - 5 years
- Data Scientist - 5 years
- RStudio Shiny - 3 years
- MySQL - 2 years
- Python - 2 years
Preferred Environment
R, RStudio, RStudio Shiny, SQL, Python
The most amazing...
...thing I do is transform customer problems into mathematical models and algorithms, then optimize them to deliver solutions that drive real business value.
Work Experience
Data Scientist | Software Developer
AVL
- Developed an algorithm to generate routes that maximize ADAS scenario coverage within user-specified boundaries, achieving significantly higher coverage than conventional methods and enabling cost-efficient, optimized public road testing campaigns.
- Developed algorithms to compute combinatorial Operational Design Domain coverage efficiently and to generate a multitude of gap-filling scenarios that maximize dissimilarity from existing scenario databases, enhancing test diversity and robustness.
- Developed an algorithm for constructing compliant Real Driving Emission cycles, fully adaptable to any market through user-defined legislative inputs, with the possibility to optimize cycles for low or high dynamics, allowing testing under extreme conditions.
- Developed an automated daily fleet data reporting system featuring interactive tables and visualizations for easy KPI tracking and trend analysis. Built a full data pipeline that included import, cleaning, transformation, aggregation, and visualization.
- Developed a tool for enriching GPS data with diverse metadata via user-specified APIs, enabling distribution analysis and identification of conditions under which ADAS systems most frequently fail.
- Developed an algorithm to determine the feasible and optimal execution order of driving scenarios on a testbed, minimizing overall testing time.
College Assistant
University of Zagreb
- Created scripts and instructional materials for various mathematical subjects, ensuring clarity and accessibility for students. These materials enhanced the learning experience and contributed to student engagement and comprehension.
- Designed a comprehensive introductory math curriculum from scratch. This resulted in the successful rollout of a structured program that introduced fundamental mathematical concepts to students, laying a solid foundation for their academic journey.
- Demonstrated a measurable impact on student performance by implementing engaging teaching techniques. This is evidenced by consistently high student evaluations and improved exam scores.
Experience
Route Generator Optimization
Real Drive Emission Cycle Generator
Vehicle Fleet Monitoring
Battery State of Health
Data Enrichment Tool
Operational Design Domain Coverage
Scenario Execution Order
Education
Master's Degree in Mathematical Statistic
Department of Mathematics, Faculty of Science, University of Zagreb - Zagreb, Croatia
Bachelor's Degree in Mathematics and Computer Science
Department of Mathematics, Faculty of Science, University of Zagreb - Zagreb, Croatia
Skills
Languages
R, SQL, Python, Markdown
Frameworks
RStudio Shiny
Platforms
RStudio, Docker, Amazon Web Services (AWS)
Storage
Data Validation, MySQL
Paradigms
Linear Programming, Constraint Programming
Industry Expertise
Applied Statistics
Other
Statistics, Optimization, Data Cleaning, Data Transformation, Data Science, Data Visualization, Clustering Algorithms, Machine Learning, Data Aggregation, Data Scientist, Mathematics, Data Analytics, Mathematical Statistics, Evolutionary Algorithms, Time Series Analysis, Data Analysis, Artificial Intelligence (AI), Data Modeling, Operations Research, Optimization Algorithms, Regression Modeling, Predictive Modeling, Statistical Methods, Combinatorial Optimization, Hypothesis Testing, Statistical Analysis, Statistical Data Analysis, Prompt Engineering, User Interface (UI), FastAPI, Vehicle Routing, Traveling Salesman Problem (TSP), Graph Theory, Linear Regression, Clustering, APIs, Data Handling, Vehicle Routing Problem (VRP), Graphs, K-D Tree, Simulated Annealing, Heuristics, Large Language Models (LLMs), Deep Learning, OpenAI
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