Derick Arel

Background

About Derick Arel

PROFESSIONAL AND TECHNICAL SKILLS • Results-oriented data scientist with a strong scientific background. Demonstrated success in bringing machine learning and analytics projects from concept to execution, including POC development, ETL, ELT, CI/CD pipeline creation, model training, and performance validation. • Over 10 years of research experience ranging from computational physics and satellite analysis to modeling and ML algorithms. • 8+ years’ experience in Python, ranging from analytical (pandas), data visualization (Plotly, Dash) to machine learning development (scikit-learn, PyTorch). • 6+ years’ experience in multivariate statistical modelling (clustering, regression, principal components) and machine learning (Random Forest, KNN, SVM, regularization). • Proficient in Python for workflow automation, SQL database management, API integration. • Over 4 years’ experience maintaining and developing dashboard using R Shiny. • Hands on experience with CI/CD pipeline development for autoML-based machine learning models. • Proficient in data wrangling and preprocessing using Python's pandas and NumPy. • Experienced in cloud computing platforms like AWS and Azure for scalable data solutions. • Familiarity with big data tools like Hadoop and Spark for large dataset management. • Adept in SQL for structured data querying and MongoDB for handling large-scale data sets. • Experience in R, Java, C++ • Trained in PowerBI.