Data science & analytics

The Conrades Fellowship is awarded to select students demonstrating entrepreneurial leadership potential. As Conrades Fellows, we work collectively and with faculty mentors on an entrepreneurial project.Our project, Propel, aimed to support small and medium-sized businesses in accelerating their decarbonization journeys, making a tangible impact on the environment, and fostering sustainable practices.We conducted idea validation, developed an MVP, and built the entire GTM strategy. We stopped working on it after completing our master's degrees to pursue other full-time jobs.

Data science & analytics

Teaching Assistant for "Decision-Making under Uncertainty"- Probabilistic models: Bayesian Networks & Markov Chains- Solution techniques for single-stage decision problems: Utility Theory & Decision Graphs- Model-based solution techniques for sequential decision problems: Markov decision processes & Dynamic programming- Model-free solution techniques for sequential decision problems: Multi-armed bandits, Monte Carlo learning & Temporal difference learning

Teaching Assistant for "Statistical Methods in Engineering"- Probability and random variables - Descriptive statistics - Sampling distributions - Statistical inference

Montevideo Labs (Acquired by Blend in 2023)Collaborating with cross-functional teams, I utilized AWS to develop and implement machine learning models for anomaly detection, design large-scale ETL processes, and automate data scraping and analysis. Additionally, I developed dashboards, emphasizing data recovery and the generation of strategic insights.

Tutored students on Mechanics and Calculus for midterm evaluations and exams.

Conducted financial and technical assessments for the procurement of an industrial ventilation system.

In charge of physics weekly workshops for first year students:• Handled individual tutoring for 50+ students explaining concepts of Mechanics and Electromagnetism