# Senior Data Scientist Location[Italy](https://jobicy.com/resume-region/italy.md)Rate, USD Not specifiedWork schedule Full Time, Links Language skills Croatian, English, German, Italian, Russian, Slovenian, Swedish, UkrainianAvailable for Hire Yes [Hire me](#resume-dialog) Save Log in to save ## About me I am a Senior Data Scientist with extensive experience in developing mathematical models and optimizing trading algorithms, primarily using Python and its scientific libraries such as numpy, pandas, and scikit-learn. My work has directly contributed to increased trading profitability and enhanced data-driven decision-making processes. I have a strong background in statistical analysis and data visualization, having authored comprehensive reports using tools like Tableau and Oracle BusinessObjects. Throughout my career, I have played a pivotal role in shaping regional government strategies through advanced statistical modeling and demographic forecasting. I am skilled in building and maintaining data pipelines from various databases including MongoDB and PostgreSQL, ensuring data quality and accessibility for strategic planning and policy evaluation. My expertise extends to algorithm development in R and Python, where I have engineered efficient sampling methods and innovative data cleaning techniques. I have also contributed to academic research, publishing several papers on mortality modeling and policy evaluation in reputable journals and conferences. In addition to my professional work, I have experience as a contract professor, teaching descriptive statistics, probability calculus, and inferential statistics to university students. I have developed R-Shiny applications to facilitate statistical learning, demonstrating my commitment to education and knowledge sharing. I am passionate about technical problem-solving, systems thinking, and continuous learning. My interdisciplinary collaboration skills and strong communication abilities enable me to work effectively across teams and mentor others. I am motivated by challenges that require innovative solutions and enjoy engaging with complex data to uncover actionable insights. I hold a PhD in Circular Economy with a focus on mortality modeling, and I graduated with honors in statistical and actuarial sciences as well as business statistics and computer science. My academic and professional journey reflects a deep commitment to advancing statistical science and applying it to real-world problems. ## Professional area ### [Developer & Engineer](https://jobicy.com/resume-category/dev.md)[Teacher & Coach](https://jobicy.com/resume-category/teaching.md) ## Skills ### [Communication](https://jobicy.com/resume-skill/communication.md)[Data Analysis](https://jobicy.com/resume-skill/data-analysis.md)[Database Management](https://jobicy.com/resume-skill/database-management.md)[Forecasting](https://jobicy.com/resume-skill/forecasting.md)[Machine Learning](https://jobicy.com/resume-skill/machine-learning.md)[Mentoring](https://jobicy.com/resume-skill/mentoring.md)[MongoDB](https://jobicy.com/resume-skill/mongodb.md)[PostgreSQL](https://jobicy.com/resume-skill/postgresql.md)[Problem Solving](https://jobicy.com/resume-skill/problem-solving.md)[Public Speaking](https://jobicy.com/resume-skill/public-speaking.md)[Python](https://jobicy.com/resume-skill/python.md)[Tableau Software](https://jobicy.com/resume-skill/tableau.md)[Teaching](https://jobicy.com/resume-skill/teaching.md) ## Education 11/2021 – 03/2025 PhD in Circular Economy @ University of Trieste, Faculty of Economics Research area: Mortality modelling 09/2005 – 07/2007 Master of Statistical and Actuarial Sciences @ University of Trieste, Faculty of Economics Graduated with 110/110 cum laude 09/2002 – 07/2005 Bachelor of Science in Business Statistics and Computer Sciences @ University of Trieste, Faculty of Economics Graduated with 110/110 cum laude ## Experience 2024-present Senior Data Scientist @ Enetra d.o.o. Development of mathematical models for electricity production and load. Development and optimization of trading algorithms in Python (numpy/Pandas/scikit-learn): increased trading profitability by 100 basis points in first 60 days. Authored comprehensive reports in Tableau, maintained and improved data pipelines from MongoDB and PostgreSQL. 2008-2024 Statistician/Data Scientist @ Friuli Venezia Giulia regional government Played a key role in shaping regional government strategy through advanced statistical analysis for strategic planning. Led the construction of data pipelines and authored comprehensive reports in Oracle BusinessObjects, showcasing expertise in data visualization and reporting. Engineered algorithms in R for efficient sampling, data analysis, and model building, demonstrating a data-driven approach to decision-making. Published groundbreaking research on policy evaluation modeling using advanced statistical methods (Springer Genus, 2023). Developed demographic forecasting models and implemented innovative data cleaning methods for improved data quality. Designed and implemented robust sampling schemes, supporting data collection, analysis, and internal audit procedures. 2018-2019 Statistical Specialist @ Hattrick Ltd. Created a team ranking system for the online football manager game Hattrick.org. Developed a customized rating system based on ELO ratings, tailored to the unique context of the game. Performed calculation of approximate expected values of nested stochastic processes, integrating them into the game code. Utilized various data analysis methodologies, including simulation, generalized linear models, regression trees, and custom dissimilarity measures, in Python and R. 2008-2021 Contract Professor @ University of Trieste Instructed ~40 students per year in descriptive statistics for Statistical and actuarial science students (2008-2019). Instructed 150+ students per year in descriptive statistics, probability calculus and inferential statistics for Economics students (2016-2021). Development of R – Shiny applications to facilitate statistical learning for high school and junior students. 2006-2007 Statistician @ Wego s.r.l. Developed hierarchical Bayesian models in Python, R and C based on matrix factorization (Latent Dirichlet Analysis, an upgrade of PCA) to classify unstructured textured data by topic, cluster analysis (KMeans) by topic and automatic classification by topic. Received the 2007 InnovAction prize for the most innovative companies in the Friuli Venezia Giulia region for the project of a smart search engine on administrative procedures data on which the Master thesis was based. ## Recommend this talent ## Related resumes * [![Photo](https://jobicy.com/react/themes/app/images/candidate.png) Senior Android DeveloperSpainI am an experienced Android Developer with more than 10 years of expertise in designing, building, and maintaining OTT, streaming, multimedia, Android TV, and mobile applications for global consumer platforms….](https://jobicy.com/cv/id147940.md) * [![Photo](https://jobicy.com/react/themes/app/images/candidate.png) Receiving LeadUnited StatesI am a dedicated and results-driven professional with hands-on experience in warehouse operations, inventory management, and team leadership. 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