Maximo Ripani

Maximo Ripani

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Quantitative Researcher | AI & ML
Buenos Aires, Argentina
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Résumé

Jobs verified_user 0% verified
  • borderless
    ML Engineer
    borderless
    Jan 2024 - Current (2 years 10 months)
  • C
    Data Scientist
    CTF Capital
    Jul 2023 - Jan 2025 (1 year 7 months)
    Quantitative Research: research, formulation and develop of ML strategies applied to financial markets. Collect data, end to end modeling, and interpretable ML models. Implementation of strategies into cloud environment.

    - Machine Learning applied to financial, non stationary time series.
    - Parallelized data ETL.
    - Model training pipelines.
    - Feature engineering with interpretable ML (alpah discovery).
    - Notifications and alerts system (signal processing).
  • C
    Lead Data Scientist
    CTF Capital
    Sep 2021 - Current (5 years 2 months)
    Quantitative Research: research, formulation and develop of ML strategies applied to financial markets. Collect data, end to end modeling, and interpretable ML models. Implementation of strategies into cloud environment. - Machine Learning applied to financial, non stationary time series; - Parallelized data ETL; - Model training pipelines; - Interpretable ML, beyond the black box; - Cloud solution architecture; - Notifications and alerts system;
  • C
    Data Engineer
    CTF Capital
    Sep 2021 - Jul 2023 (1 year 11 months)
    Extracting and processing financial time series data. Multiple data providers integration and ETL mantainance.

    - Streaming and batch processing pipelines (Kafka, Spark)
    - Relational data modeling (PostgreSQL)
    - Data pipelines orchestration (Airflow)
  • Mercado Libre
    SSr Data Scientist
    Mercado Libre
    Nov 2020 - Aug 2021 (10 months)
    Marketing Data Science: the goal was to retain and get new users into the app. Optimization and maintenance of ML production model. Batch prediction over big databases. Interpretability and explainability of ML models.

    - ML models optimization and maintenance;
    - LTV users database segmentation;
    - A/B testing and causal impact;
    - Automated processes monitoring;
    - Visualization of results;
    - Automatic training w/ model drift detection;
  • Universidad de Buenos Aires
    Teacher Assistant
    Universidad de Buenos Aires
    Aug 2020 - Apr 2021 (9 months)
    Assistant for the Numerical Analysis course of J.E. Fabris. I assist in the teaching of his programming classes in R for the course.
  • Instituto Humai
    Professor
    Instituto Humai
    Aug 2020 - Jan 2021 (6 months)
    Teaching classes on types/data structures and functions in the 'Introduction to Python' course. Development and teaching of a class on data visualization with Python in the 'Data Analysis' course.
  • Cognitiva IBM Watson Strategic Partner
    Technical Consultant
    Cognitiva IBM Watson Strategic Partner
    Oct 2018 - Feb 2019 (5 months)
  • freelance
    Data Scientist
    freelance
    Oct 2017 - Current (9 years 1 month)
    - Supervised and unsupervised ML models development; - Amazon Web Services; - Automated processes monitoring;
Education verified_user 0% verified
  • Digital House
    Inteligencia Artificial, Machine Learning
    Digital House
    Jan 2018 - Dec 2018 (1 year)
    Curso de inteligencia artificial en el que se ven modelos del estado del arte.
    Temas: Deep Learning, Redes Neuronales (convolucionales, RNNs, LSTM, Adam, Droput, BatchNorm...); Computer vision; Modelos generativos; Regularización; Natural language processing (NLP); Topic modeling; Procesamiento de audio; Reinforcement Learning.
  • Digital House
    Inteligencia Artificial, Machine Learning
    Digital House
    Jan 2018 - Dec 2018 (1 year)
    Curso de inteligencia artificial en el que se ven modelos del estado del arte. Temas: Deep Learning, Redes Neuronales (convolucionales, RNNs, LSTM, Adam, Droput, BatchNorm...); Computer vision; Modelos generativos; Regularización; Natural language processing (NLP); Topic modeling; Procesamiento de audio; Reinforcement Learning.
  • University of Buenos Aires
    Actuario, Economía financiera y actuarial
    University of Buenos Aires
    Jan 2017 - Oct 2025 (8 years 10 months)
  • Universidad de Buenos Aires
    Actuario, Economía financiera y actuarial
    Universidad de Buenos Aires
    Jan 2017 - Oct 2025 (8 years 10 months)
  • Digital House
    Data Scientist, Ciencia de datos
    Digital House
    Jan 2017 - Dec 2017 (1 year)
    Curso de ciencia de datos. Estadística descriptiva e inferencial (estimadores, intervalos de confianza, probabilidad). Aplicación de algoritmos complejos a grandes bases de datos, con aprendizaje supervisado y no supervisado. Arboles de decisión, procesamiento de texto, análisis de series de tiempo y modelos de clasificación. Técnicas de analisis exploratorio y visualización con herramientas open source.