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Joaquin Menendez

🏠 Capital Federal, Argentina | 📞 1122559559 | 📧 [email protected] | 🔗 LinkTree

EDUCATION

Duke University, North Carolina, United States
MSc in Interdisciplinary Data Science (MIDS) - Fulbright Scholarship | Aug 2018 - May 2020

University of Buenos Aires (UBA), Buenos Aires, Argentina | Mar 2009 - Nov 2014
Licensure in Psychology
Teaching assistant positions:

  • Neurophysiology | Jul 2011 - Dec 2012
  • Behavioral biology | Mar 2014 - Jan 2015

Autonomous University of Madrid (UAM), Madrid, Spain - Santander Scholarship | Jan 2013 - Jul 2013
International exchange student

PROFESSIONAL EXPERIENCE

AI Cloud Engineer

Google, Buenos Aires, Argentina | Aug 2023 - Present
  • Design and implement custom AI solutions for Google Cloud customers using large language models, addressing specific business needs and challenges.
  • Collaborate with customers, partners, and Google product teams to bring AI projects from ideation to deployment, ensuring successful integration and production readiness.
  • Develop and deliver educational materials like workshops, tutorials, and presentations, empowering customers to effectively utilize AI technology and maximize its impact.
  • Provide expert technical guidance and mentorship to customers on practical aspects of machine learning systems, including data preparation, model monitoring, and feature management.

Sr. Data Scientist

RGA, Buenos Aires, Argentina| Apr 2021 - Aug 2023
Worked at the Data & Marketing Science Studio. Some of my tasks included:
  • Data Analytics (Big Query, Data Studio)
  • Apply Deep Learning (NLP, LLMs, Machine Learning models)
  • Data Engineering on the cloud (Cloud Functions, AI jobs, Storage)
  • Report Generation
  • Data Consulting

Data Scientist

Globant, Buenos Aires, Argentina| Oct 2020 - Apr 2021
• Delivered data-based solutions applying Natural Language Processing (NLP) techniques.
• Performed data exploration and generation of insights.

Data Science Mentor

ACAMICA, Buenos aires, Argentina | Sept 2020 - Apr 2021
• Taught the first module of the Data Science career
• Topics taught: Introduction to Python, Statistics, Probability and Machine Learning

Data Scientist - Healthcare Analytics

Departamento de Informática en Salud del Hospital Italiano | July 2020 - Dec 2020
• Programmed an interactive dashboard using Shiny (R) as a tool to infer which members of the health plan are profitable clients and to suggest possible strategies to retain leaving members.
• Applied APIs to georeference all the members from the health plan to perform distance and density analysis in the future.
• Design and taught Python courses for medical residents.

Data Science Intern

Duke Forge, Durham, United States | May 2019 - Aug 2019

  • Examined the link between social determinants and risk prediction for hospital admissions, and which assessed whether social determinants affect that risk in a systematic way. Poster
  • Applied methods of machine learning, risk prediction, and assessment of classification bias.
  • Programed an interactive dashboard using Plotly (Dash) in order to explore classification bias on different variables.
  • Presented results to different stakeholders (researchers, physicians and hospital managers) and maintained dialogue to inform the direction of our analysis.

Assistant Lecturer - 'Psychophysiological Methods'

University of Buenos Aires School of Psychology, Buenos Aires, Argentina | Jul 2015 - Oct 2018

  • Taught undergraduate courses in topics that included: Experimental design, Statistics, electroencephalography (EEG) and skin conductance Response (SCR).
  • Prepared course material; including laboratory experiments, lectures and slides, and practice problems.
  • Advised three undergraduate thesis.

Research Assistant

Behavioral Biology Lab (IByME-CONICET), Buenos Aires, Argentina | Sep 2015 - Aug 2018

  • Investigated categorical learning using Electroencephalography registers (ERP) and behavioural data.
  • Designed and programmed computerized experiments in Python.
  • Implemented a protocol of Electroencephalographic data processing in MATLAB involved epoch rejection and Independent Component Analysis (ICA).
  • Used R and SPSS to perform inferential statistic analysis.

Research Intern

Behavioral Biology Lab, IBYME-CONICET, Buenos Aires, Argentina | Aug 2014 -Sep 2015

  • Research Project: “Neurophysiological correlates of direct and indirect semantic priming: verification procedures of behavioral processes”.
  • Assisted with experimental design, electroencephalographic and behavioral data collection, cleaning and analysis.

SOFTWARE SKILLS

Programming Languages: Python, R
Databases: MySQL, PostgreSQL, Big Query
Statistics: R, SPSS
DS Frameworks: NumPy, SciPy, Pandas, Scikit-learn, TensorFlow, PyTorch, PyCaret
Visualization: Tableau, PowerBI, Google Data Studio, Dash, Plotly, Seaborn, Matplotlib
Software engineering: FastAPI, Flask, Docker
Cloud Computing: AWS , GCP

Google Cloud Certifications

SCIENTIFIC PUBLICATIONS

HONORS AND AWARDS

Academic Mention 2017 | October 2018
Recognition given to lecturers who received an award from an external organization besides the University of Buenos Aires during the year 2017.

Argentine Presidential Fellowship in Science and Technology Administered by the Argentine Fulbright Commission with support from LASPAU | June 2017
Fellowship to pursue a master´s degree in the United States starting Fall 2018. Funded by the Argentine President´s Cabinet and the U.S. Embassy of Buenos Aires.

Prominent Student 2013 | November 2014 Awarded by University of Buenos Aires in recognition of undergraduate research.

National Interuniversity Council (CIN) Research Fellowship | August 2014
One year funded undergraduate research assistant position for an investigation group at University of Buenos Aires.

UAM – Santander Scholarship | November 2013
Full scholarship to attend a semester at the Autonomous University of Madrid as an exchange student. Chosen as a recipient due to academic merit.

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