With extensive research experience in bioinformatics and molecular biology at the PhD level, I possess a strong knowledge of statistical methodologies and machine learning techniques. Currently, I am involved in a project using Gaussian processes and Bayesian optimization to generate recipes for a globally recognized snack company. Over the past decade, I have adeptly learned programming languages like Perl, R, and Python, focusing more on Python lately. I have applied clustering algorithms, dimensionality reduction techniques, Hidden Markov Models and contribute to machine learning model development, including CNNs and linear regression. My passion lies in finding optimal, yet pragmatic solutions, extracting actionable insights from data, and collaborating with team members. As a consultant data scientist, I manage stakeholders, provide advisory services, and collaborate with diverse teams. My approachable nature complements my readiness to welcome and tackle challenges.