Milena Dotta

Machine Learning Engineer at ConverseNow

Milena Dotta has a diverse work experience in various data-related roles. Milena began their career as an Assistant in the Sales Department at Zook 3 from 2013 to 2014. Milena then worked as a Parliamentary Advisor at the Congreso de la Nación from 2016 to 2017, where they conducted research, assisted in bill drafting, and prepared statistical reports. Milena then transitioned into the field of data science, working as a Data Scientist at the Subsecretaría de Movilidad Sustentable - OSV from 2017 to 2018. There, they conducted studies to evaluate the impact of various transportation projects on road safety using statistical techniques and analysis tools. Milena continued their data science journey at Zenith in 2018 as a Data Scientist for L'Oréal, where they automated report generation, integrated multiple data sources, and developed forecasting models. Milena then worked at The Black Puma AI as a Data Scientist from 2018 to 2019, specializing in developing sales forecasting and clustering models. Milena further enhanced their data science skills at Naranja X in 2020, where they developed AI models for fraud detection and implemented agile methodologies. In 2021, Milena joined Dymaxion Labs as a Data Scientist, and in 2022, they started working as a Machine Learning Engineer at ConverseNow.AI.

Milena Dotta obtained a Maestría degree in Explotación de Datos y Descubrimiento del Conocimiento from the University of Buenos Aires from 2018 to 2020. Prior to that, they completed a Licenciatura in Economía from the Facultad de Ciencias Económicas, UBA, between 2012 and 2016. Milena also earned a Bachillerato Universitario from the Instituto Libre de Segunda Enseñanza, UBA, from 2007 to 2011. In addition, they pursued a Proyecto de matemática en el campus virtual de la Facultad de Ingeniería UBA, specializing in Matemáticas, at the Facultad de Ingeniería, UBA, in 2010.

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  • Machine Learning Engineer

    August, 2022 - present