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SKILLS

Overview

During my professional career, I have gained a versatile set of skills that I actively try to put into practice to optimize my performance at whatever task I put my mind to. Below, there are some of the traits that I have come to consider key assets when approaching professional (and in some cases personal) adversities. These continue to aid me, on a daily basis, in keeping up with the competitiveness present in both the global job market and academia.

Data science

Mathematical modeling

Data cleaning

Signal processing

Unsupervised classification

Data visualization

Linear/logistic models, SVM, CART and XGBoost

Biocomputation

Molecular dynamics

Molecular docking

Free energy calculations

Structure and ligand-based drug discovery

Continuum electrostatics

Python libraries

Scikit-learn

TensorFlow (Keras)

Streamlit

Scipy

Pandas

Matplotlib

Bokeh

Numpy

Scientific software

Gromacs

Schödinger Drug Discovery Suite

VMD

Gaussian

Amazon Web Services

S3

DynamoDB

IoT Core

Lambda

CloudWatch

CodePipeline

Boto3

Soft skills

Teaching

Public speaking

Team management

Resources optimization

Skill development

Storytelling

Research

Statistics

Problem-solving

Design of experiments

Scientific writing

Critical thinking

Creativity and innovation

Productivity applications

GitHub

VSCode

Pycharm

Microsoft Office Suite

Canva

Dropbox

Outlook

Slack

Languages

Spanish (native)

English (fluent)

Italian (proficient)

Norwegian (conversant)

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