Experience

I am a Computer Science Engineer, Master in Systems Engineering and PhD in Economics. I have extensive experience leading and working on experimentation and data science projects to strategically support decision-making and drive business results. I have developed experimentation and data science apps, supervised and unsupervised machine learning models using Python, Power BI dashboards and statistical analyses using Stata and SPSS to support decision-making and the development of improved business strategies. I am skilled in Python, SQL, Machine Learning, NLP, Pandas, Numpy, Matplotlib, Seaborn, Scikit-learn, Keras, Streamlit, FastAPI, VS Code, Git, Amazon SageMaker, Postgres, Power BI, Stata and SPSS. I am interested in data science and machine learning roles with career development as a technical leader.

Timeline

2023-2023: Data Scientist @ Colombian ICT Ministry

2022-present: Freelance Data Scientist

2022-2022: Data Science Fellow @ Correlation One

2021-2022: Associate Professor @ Universidad del Rosario's School of Management and Business

2016-2021: Assistant Professor @ Universidad del Rosario's School of Management and Business

2016-2016: Graduate Assistant @ Universidad EAFIT's Production Engineering Department

2014-2015: Postdoctoral Fellow @ MIT Center for Transportation and Logistics

2009-2013: Doctoral Assistant @ Università della Svizzera italiana

Education

I'm skilled in data science, machine learning, experimental economics and discrete-event simulation. I'm also familiar with optimization, system dynamics and qualitative research methods.

Timeline

2009-2013: PhD in Economics from Università della Svizzera italiana

2008-2009: MEng in Systems from Universidad Nacional de Colombia, Medellín branch

2003-2007: BEng in Systems and Informatics from Universidad Nacional de Colombia, Medellín branch

e-mail: jacasta2@gmail.com
Phone: +57 300 222-4658
Study: Università della Svizzera italiana
Degree: PhD in Economics