Game Designer Teacher

Jerónimo Ignacio Pissinis

+1-561-***-**** *******@*****.*** https://www.linkedin.com/in/jeronimo-pissinis-705487202/ https://github.com/jpissinis

Summary

M.D. and Internal Medicine specialist with strong data analysis, statistical and programming skills. Currently Master of Science (Ms.) in Data Science candidate.

EDUCATION

University of Miami Coral Gables, FL

Master of Science in Data Science Aug 2021 – Dec 2022

●GPA: 4.0/ 4.0

●Relevant Coursework: Introduction to Python for Scientists, Statistical Analysis, Statistical Analysis II with Financial Applications, Introduction to Machine Learning with Applications, Computational Neuroscience and Computational Geometry

CEMIC University Institute Buenos Aires, Argentina

Internal Medicine Specialty Jun 2017 – Sep 2021

Doctor in Medicine Feb 2011 – Dec 2016

●GPA: 3.99/ 4.0

●Honors: Gold Medal for best GPA 2016

WORK & LEADERSHIP EXPERIENCE

Agonalea Games

Game Designer: Combat Economy Sep 2021

●Design gameplay features and mechanics collaborating with the development team to implement them

●Balance of characters/item statistics and use test results to tune them to achieve desired gameplay feel and difficulty

●Development of an encounter simulator using python to aid in the estimation of the probability of encounter outcomes

CEMIC Hospital Buenos Aires, Argentina

Internal Medicine Resident Doctor Jun 2017 – Sep 2021

●Outpatient and inpatient care in the medical inpatient and intensive care units

●Assessed care priorities to determine daily task order and adapt to emergent situations

●Researched aortic stenosis and COVID with the Health Economics and Technology Assessment Unit using R to do meta regression of real world data that led to scientific publications

●Advised and helped peers with the methodology and statistical analysis of research projects using R to implement univariate and multivariate regression analysis, student t test, Mann-Whitney rank-sum test, chi-square test, Fisher’s exact test, ANOVA and calculate sample size

●Coordinated, supervised and tutored junior residents to further their medical training while ensuring safe practices

●Created a new handoff tool and database to hold key patient information that improved care transitions during shift changes and data collection for research and management purposes

●Conducted systematic reviews of the literature on medical topics to presented in grand rounds and national congresses helping to establish course of action or practice recommendations

Argentinian Diabetes Society Buenos Aires, Argentina

Teacher Mar 2021 – Aug 2021

●Taught and evaluated the meta-analysis module as part of the Epidemiology Diploma

Pharmacology and Clinical Pharmacology Department at CEMIC Buenos Aires, Argentina

Auxiliary Teacher Feb 2017 – Aug 2021

●Coordinated the teaching assistants and organized activities that helped the team develop teaching skills and tools

Physiology, Biochemistry and Biophysics Department at CEMIC Buenos Aires, Argentina

Teaching Assistant Feb 2014 – Dec 2016

●Designed and implemented an extracurricular applied physiology workshop that improved content integration and emphasize its relevance for medical practice

SKILLS, ACTIVITIES & INTERESTS

Languages: Native in Spanish; Fluent in German

Technical Skills:

●Programming: R: glmnet, dplyr, tidyverse, ggplot2, lubridate, stringr, readr, Python: numpy, pandas, Scikit-learn, TensorFlow, Keras, PyTorch, matplotlib and SQL

●Build, train, tune and test machine learning models: implement K means, K nearest neighbors (KNN), principal component analysis (PCA), linear regression, logistic regression, support vector machines (SVM), decision trees, random forests, cross validation, deep neural networks, ensemble learning and transfer learning

●Construct and utilize tools that efficiently preprocess, modify, aggregate, load, index, and store large datasets

●Employ research methodology and statistical software to identify relationships, do hypothesis tests, check statistical significance, forecast outcomes and create insights from datasets

●Use data visualization tools for exploratory analysis, interpretation and presentation of findings

●Other tools: Git, version control, Unix, Microsoft Word, Excel, Powerpoint, Google Drive

Scientific Publications

Boissonnet C, Giorgi M, Carosella L, Brescacin C, Pissinis J, Guetta J. “Clinical outcomes after transcatheter aortic valve replacement in South America: A centre-level systematic review and meta-analysis of observational data.” J Eval Clin Pract. 2020 Sep 2. doi: 10.1111/jep.13469. PMID: 32881274. 2020.

Boissonnet C, Giorgi M Carosella L, Brescacin C, Pissinis J, Guetta J. “Clinical management strategies for mild cases of COVID-19 in Latin America: Decision Model” Preprint DOI: 10.1590/SciELOPreprints.681 2020.

Other Projects

Diagnosis of COVID-19 pneumonia on CT images using convolutional neural networks. University of Miami. Built, trained and tested a CNN from scratch and using transfer learning using PyTorch in Python

Cars sold per year by a company in Argentina. Implemented a multiple linear regression model to analyze the relationship with national economic factors and to do sales prediction applying LASSO regularization and best subset selection to select features and ran model diagnostics using R

Convalescent plasma treatment in patients with oncohematological diseases and COVID-19. CEMIC University Institute. Compared patients that received the intervention vs a control group applying appropriate hypothesis tests to identify statistically significant differences and risk factors in R

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