Arnau Vilà Casanovas
Barcelona
Summary
Seasoned scientist with a robust academic background and extensive experience in advanced analytics, machine learning, data visualization and data engineering, driving strategic insights across diverse projects. Recognized for effective collaboration within cross-functional teams, consistently delivering actionable data solutions that align with organizational goals. Renowned for exceptional problem-solving capabilities and adaptability in fast-paced environments, leveraging expertise in statistical modeling and big data technologies to address complex challenges. Committed to harnessing data-driven strategies to foster innovation and enhance decision-making processes.
Overview
11
11
years of professional experience
1
1
Certification
Work History
Senior Data Scientist
Novo Nordisk
10.2024 - Current
- Deliver analytical insights to enhance clinical trials design, planning and operations.
- Translated business requirements into technical specifications, ensuring alignment between project objectives and deliverables.
- Developed custom data pipelines for efficient data processing, leading to improved model performance.
- Presented complex findings to non-technical stakeholders through clear visualizations and concise reports.
- Delivered actionable recommendations by conducting comprehensive exploratory data analysis on large datasets.
Senior Software Engineer
EPAM
07.2021 - 10.2024
- Developed scalable applications with actionable insights for Clinical Trials planning.
- Technical Lead a team of engineers.
- Proved successful working within tight deadlines and a fast-paced environment.
- Refactored the most expensive data pipeline leading to aproxinately 250k € yearly savings.
- Created proofs of concept for innovative new solutions.
- End to end development withing Palantir Foundry.
- Developed optimization engine for selecting best investigators for specific clinical trial.
Senior Data Scientist
Accenture
01.2018 - 07.2021
- Main activities of my work involve: data cleaning, data mining, design and implementation of models (ML, forecasting, optimization...) and visualization.
- Platforms: Palantir Foundry, AWS.
- Work on SAFe Agile methodology.
- Different industry sectors: crane services, bank/financial company, wholesale, aeroespacial.
- Client facing.
- Supply chain.
Research Associate
University College of London (UCL)
01.2016 - 01.2018
- Developing theoretical models of physical processes regarding atoms and molecules under high intensity laser fields by means of stochastic Monte Carlo Classical Mechanics simulations.
- Department of Physics and Astronomy
Postdoctoral Researcher
Autonomous University of Madrid
01.2015 - 01.2016
- Designing mathematical physical models and implementing them that describe physicochemical processes in superfluid helium nanodroplets.
- Department of Applied Physical Chemistry
Education
Ph.D. - Theoretical & Computational Physical Chemistry
University of Barcelona
01.2015
B.Sc. - Physics
University of Barcelona
01.2013
M.Sc. - Theoretical & Computational Chemistry
University of Barcelona
01.2011
B.Sc. - Chemistry
University of Barcelona
01.2010
Skills
- Palantir Foundry End-to-End Expert (member of AIP power users)
- Languages: Python, Pyspark, SQL, JavaScript, R, C, Fortran
- Platform: Palantir Foundry Databricks AWS Azure
- Visualization: Streamlit, Shiny (R), PowerBI
- MLOps
- AI Agents
- Analytical thinking
- Machine Learning
- Bayesian inference
- Agile framework
- Business understanding
- Feature engineering
- Machine learning
- Big data analytics
- Optimization techniques
- Simulation modeling
- Advanced mathematical skills
- Statistical analysis
- Teamwork and collaboration
- Quick-learner, self-started and relish challenges
Websites
Certification
- AWS: Cloud Practitioner.
- Databricks Certified Associate Developer for Apache Spark 3.0
- Azure Data Scientist Associate
- Azure Fundamentals
- APICS: Certified in Production and Inventory Management. Part 1.
- Leading SAFe Agile certification.
- Neural Networks and Deep Learning
- Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization.
- Structuring Machine Learning projects.
- Convolutional Neural Networks
- Data Science Toolbox
- Palantir Foundry Advanced Developer. (Big data platform based on Spark).
- Machine Learning (Stanford University offered through Coursera)
- Introduction to Computer Science and Programming Using Python (MITx).
- Introduction to Computational Thinking and Data Science (MITx).
- Introduction to programming in MATLAB (udemy).
- The Data Scientist’s Toolbox. (John Hopkins University offered through Coursera).
Languages
English, Spanish and Catalan.
Timeline
Senior Data Scientist
Novo Nordisk
10.2024 - Current
Senior Software Engineer
EPAM
07.2021 - 10.2024
Senior Data Scientist
Accenture
01.2018 - 07.2021
Research Associate
University College of London (UCL)
01.2016 - 01.2018
Postdoctoral Researcher
Autonomous University of Madrid
01.2015 - 01.2016
B.Sc. - Physics
University of Barcelona
M.Sc. - Theoretical & Computational Chemistry
University of Barcelona
B.Sc. - Chemistry
University of Barcelona
Ph.D. - Theoretical & Computational Physical Chemistry
University of Barcelona