Over the past 10 years of experience, I have honed my skills in analyzing complex data and providing valuable insights. I possess strong skills in Python programming, statistical analysis, and data visualization, which enable me to extract meaningful information from datasets. My specialization lies in uncovering trends and patterns in complex datasets, and I apply advanced techniques and machine learning algorithms to enhance the interpretability of the results. I thrive in collaborative settings and excel at managing multiple projects simultaneously. I am always eager to learn new techniques and tools to continuously improve my skills and bring added value to the organization.A proven track record of excellence, including 32 peer-reviewed publications (8 first-author) and a European Master's degree supported by the Erasmus Mundus fellowship.Key specialties as a data analyst | data scientist:- Python (numpy, pandas, matplotlib)- Machine learning (scikit-learn)- Deep Learning (Keras, PyTorch)- R- SQL- Git with continuous integration CI/CD- HPC and Cloud environmentsKey specialties as a computational chemist:- Bash, Linux- High-performance computing environments- Typesetting: LaTeX- Computational Chemistry in Battery, Noncovalent interactions, Catalysis, and hydrogen storage materials- Molecular dynamics simulations and analysis of trajectories (AMBER, GROMACS, VMD)- Quantum mechanical calculations for molecular systems in their ground states and excited states (DFT, MP2, CCSD(T), CASSCF/CASPT2) (Gaussian, ORCA, Schrodinger, OpenMolcas, TeraChem, CFour, Psi4, PySCF, VeloxChem)- Quantum mechanical calculations for solid-state systems (CP2K, VASP, Quantum Espresso, Crystal, ASE)Looking for opportunities as a Data Analyst | Data Scientist | Computational Chemist