I’m a data and analytics professional based in the EU, with a PhD in Chemical Engineering and an MBA in Data Science & AI. I specialize in solving end-to-end data problems, from building data pipelines and structuring datasets to developing predictive models and delivering decision-support tools that drive business outcomes. With a background that combines academic research, entrepreneurship, and applied analytics, I bring a structured, systems-thinking approach to complex challenges. I translate raw, fragmented data into reliable, decision-ready insights, and design solutions that improve pricing, optimize operations, and support strategic decision-making. My focus is always on turning data into practical, measurable impact across the business.…

Priscilla Bisognin

I’m a data and analytics professional based in the EU, with a PhD in Chemical Engineering and an MBA in Data Science & AI. I specialize in solving end-to-end data problems, from building data pipelines and structuring datasets to developing predictive models and delivering decision-support tools that drive business outcomes. With a background that combines academic research, entrepreneurship, and applied analytics, I bring a structured, systems-thinking approach to complex challenges. I translate raw, fragmented data into reliable, decision-ready insights, and design solutions that improve pricing, optimize operations, and support strategic decision-making. My focus is always on turning data into practical, measurable impact across the business.…

Available to hire

I’m a data and analytics professional based in the EU, with a PhD in Chemical Engineering and an MBA in Data Science & AI. I specialize in solving end-to-end data problems, from building data pipelines and structuring datasets to developing predictive models and delivering decision-support tools that drive business outcomes.

With a background that combines academic research, entrepreneurship, and applied analytics, I bring a structured, systems-thinking approach to complex challenges. I translate raw, fragmented data into reliable, decision-ready insights, and design solutions that improve pricing, optimize operations, and support strategic decision-making. My focus is always on turning data into practical, measurable impact across the business.

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Skills

Experience Level

Python
Expert
SQL
Expert
Data Science
Expert
Power BI
Expert
Tableau
Expert
PyTorch
Expert
TensorFlow
Expert
Microsoft Excel
Expert
API
Expert
Docker
Expert
Keras
Expert
AWS
Expert
Azure
Expert
Looker Studio
Expert
R
Expert
Spark
Intermediate
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Language

English
Fluent
Portuguese
Fluent
Spanish; Castilian
Intermediate
German
Beginner

Work Experience

Data Scientist/Analyst (Independent) at Independent
December 31, 2023 - Present
Designed and implemented end-to-end data solutions using Python and SQL, delivering predictive models, advanced analytics, and decision-support systems. Built scalable data pipelines and feature-engineered datasets using Python, BigQuery, dbt, and API integrations to enable machine learning and statistical analysis. Developed and deployed models for customer behavior and demand forecasting, applying experimentation and quantitative methods to optimize pricing, production planning, and marketing strategies, embedding data-driven intelligence into operational workflows.
Owner & Data-Driven Operations Manager at CANNELÉ ARTISAN BAKERY
February 1, 2018 - October 1, 2025
Founded and scaled an artisanal bakery from the ground up, building a sustainable, data-informed business with consistent growth, operational stability, and a trained cross-functional team. Applied customer and inventory analytics to optimize pricing and production planning, supporting data driven operational decisions and sustained business growth.
Professor — Higher Education at UNIOESTE – State University of Western Paraná
February 1, 2016 - April 1, 2018
Taught quantitative subjects including Numerical Methods and Fluid Dynamics, strengthening expertise in algorithms and computational modeling. Translated complex mathematical concepts into structured, accessible explanations for diverse audiences.
Researcher — Engineering Research at UFSC – Federal University of Santa Catarina
January 31, 2015 - January 31, 2020
Developed numerical and optimization models for complex systems, applying statistical analysis to ensure robustness and reproducibility. Built a deep learning surrogate model to significantly reduce computational time in large-scale simulations.

Education

MBA in Data Science & Artificial Intelligence at FIAP (School of Informatics and Administration of São Paulo)
October 1, 2024 - November 1, 2025
PhD in Chemical Engineering at UFSC – Federal University of Santa Catarina
February 1, 2015 - February 1, 2020
MSc in Chemical Engineering at UFSC – Federal University of Santa Catarina
February 1, 2013 - February 1, 2015
BSc in Chemical Engineering at UNIOESTE – State University of Western Paraná
February 1, 2008 - December 1, 2012

Qualifications

Add your qualifications or awards here.

Industry Experience

Professional Services, Software & Internet, Education, Manufacturing, Financial Services, Retail, Media & Entertainment
    paper Customer Segmentation & Social Media Analytics

    Built an automated data pipeline using Python and the Meta API, orchestrated via GitHub Actions for daily ingestion into BigQuery. Modeled engagement and growth metrics to support marketing analytics and KPI tracking. Applied K-means clustering to segment customers based on behavioral patterns, enabling more targeted and effective marketing strategies.

    paper End-to-End Retail Analytics Pipeline & BI System

    Designed and implemented an end-to-end analytics pipeline for a retail bakery, transforming raw operational data into analytics-ready datasets. Built scalable data models using dbt (staging and marts layers), applying dimensional modeling, surrogate keys, and automated data quality tests. Developed BI dashboards to monitor production efficiency, inventory performance, pricing dynamics, and out-of-stock risk, enabling data-driven operational decisions.

    paper Demand Forecasting & Inventory Optimization

    Developed a demand forecasting model for an automotive parts retailer using Python and statistical techniques, incorporating holiday effects, weekday patterns, and seasonal trends. Engineered temporal and behavioral features to improve model performance and robustness. Generated predictions to support inventory planning and operational decision-making, helping reduce stockout risk during peak demand periods.