About me

Hello, I'm Iago Riveiro Santos Dutra. 🙂

I'm a Data Science and Artificial Intelligence student at the Getulio Vargas Foundation's School of Applied Mathematics (FGV EMAp), where I hold a full merit scholarship. As part of my academic journey, I’ve completed graduate-level courses in applied mathematics and statistics, and I'm currently writing my thesis on drug embeddings using deep learning.

I’m developing research projects at the Paccanaro Lab, focusing on machine learning applications in biomedical contexts. Recently, I completed a two-month academic exchange at Sorbonne Université in Paris, where I deepened my interest in multicultural and intellectually stimulating environments.

Professionally, I’ve worked for two years at AtlasIntel, specializing in data mining, process automation, and predictive modeling. I contributed to successful electoral forecasting in Brazil and the US, experiences that have strengthened both my technical and collaborative skills.

My academic path began as a Chemical Technician at the Sul-rio-grandense Federal Institute (IFSul), where I conducted research on biomass pyrolysis and GC-MS optimization at the Laboratory of Environmental Contaminants Analysis (LACA).

My main interests include drug discovery, causal machine learning, Bayesian modeling, and MLOps. I’m passionate about deploying machine learning models into production and have experience with Python, R, C++, Julia, and tools such as PyTorch, TensorFlow, and Azure.

I’m currently seeking opportunities for a Master's or PhD program, as well as internships or research positions in data science and machine learning. If you’re looking for a dedicated and curious mind to join your team, feel free to reach out!

Outside of work and study, I’m an avid gym-goer, love playing video games, and enjoy reading silly romantic novels. I value balance, curiosity, and continuous personal growth. I believe in using data science to tackle real-world challenges—especially in environmental science and biochemistry—and I’m always eager for opportunities that blend technology, research, and positive impact.

TL; DR

Who am I?

  • • Data Science and AI student
  • • Looking for Master's/PhD/Work opportunities
  • • Two years of experience as intern in a major polling company
  • • Doing research in ML for Biochemistry
  • • Experience deploying models for production

Main topics of interest:

  • • Drug discovery
  • • Causal ML
  • • Bayesian modelling and simulation
  • • Graph neural networks
  • • Stochastic optimization

Daniel lewis
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Daniel lewis

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Technological Toolbelt

Programming Languages



Machine Learning and Big Data



MLOps



Data Exploration and Visualization


Language Proficiency

  • Portuguese
    Native
  • English
    Proficient (Cambridge CAE - C1)
  • Spanish
    Intermediate
  • French
    Intermediate
  • Mandarin
    Elementary

Resume

Education

  1. Data Science and Artificial Intelligence (BSc)

    Getulio Vargas Foundation
    2022 — 2025

  2. Chemical Technician

    Sul-rio-grandense Federal Institute
    2016 — 2021

Experience

  1. Data Science Intern

    AtlasIntel
    2023 — 2025

    Demographic data mining; predictive model calibration; data cleaning and data analysis.

  2. Scientific Initiation and Master's Program Scholarship

    Getulio Vargas Foundation - Capes
    2022 — 2024

    Participation in subjects from the Master's Program in Applied Mathematics.

  3. Scientific Initiation Scholarship

    Sul-rio-grandense Federal Institute
    2019 — 2021

    Work as a research collaborator in the Laboratory of Environmental Contaminants Analysis (LACA).

  4. Voluntary Research Collaborator

    Sul-rio-grandense Federal Institute
    2018 — 2019

    Work as a research collaborator in the Laboratory of Environmental Contaminants Analysis (LACA).

Publications

  1. Evaluation of the destination of biological sludge in strawberry cultivation with tebuconazole applications

    Ibero-American Environmental Sciences Journal
    2021

    Strawberry cultivation is characterized by the indiscriminate use of pesticides, which can cause not only food contamination, but also the accumulation of waste in the environment and in man. Techniques that minimize residual concentrations in the products and environment are desired. The objective of this study was to evaluate the use of biological sludge in strawberry cultivation, its potential for degradation of the fungicide tebuconazole (TEB) in the soil, its influence on residual concentrations and its microbial activity in the soil.

  2. Coal generation by copyrolysis: effects of temperature, N2 flow and sludge percentage

    Ibero-American Environmental Sciences Journal
    2020

    Copyrolysis (CP) is the cleavage of more than one biomass by heat in the absence of oxygen, which yields liquid, solid, and gas products. Coal constitution depends on copyrolysis conditions and on the process adopted. The combined effect of temperature, nitrogen flow, and percent composition of treated industrial effluent sludge from a rice processing plant (TIESRPP) with rice hulls (RH) for coal generation through CP was studied.

  3. Analytical method optimization for study of difenoconazole degradation in substrate with addiction of treated activated domestic sewage sludge

    Ibero-American Environmental Sciences Journal
    2020

    Pesticide degradation in soils can be evaluated as a possible solution to minimize the effects of toxic action using recalcitrant compounds on cultivated food and the environment in which it occurs. A common and sustainable alternative is the use of treated sewage activated domestic sludge (TSS) as an adjuvant in soils. The objective of this work was to evaluate the influence of TSS on the degradation profile of a pesticide in the soil. Based on the hypothesis that the use of TSS in soils may influence pesticide degradation, a lab-to-field approach was implemented to determine toxic analyte decay using diphenoconazole (DFC), a triazole class fungicide.

  4. Analysis of trace metals in domestic and industrial sewage sludges

    Ibero-American Environmental Sciences Journal
    2019

    The adequate disposal of sewage sludges containing toxic metals still is a challenge. Its application on agriculture has been the most common method around the world and is being considered one of the cheapest ways for disposing this sludge. In that sense, the goal of the current research was to characterize three types of sludge, two coming from industry and one, from domestic sources, through chemical characterizations and determination of the trace metals: lead, chrome, copper, nickel and zinc. These metals were determined by Flame Atomic Absorption Spectrometry.

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Portfolio

Under Construction!

Achievements

Awards

  1. 10° Place at the XIX Rio Grande do Sul Virtual Chemistry Olympics

    Brazilian Chemistry Association
    2021

  2. Bronze Medal at the Brazilian Chemistry Olympics

    Brazilian Chemistry Association
    2021

  3. Gold Medal at the V National Sciences Olympics

    Piauí Federal University
    2020

  4. Silver Medal at the 15° Brazilian Public Schools' Olympics

    Pure and Applied Mathematics Institute
    2019

  5. 2° Place at the III Brazilian Knowledge Olympics

    Paraíba State University
    2018

  6. Silver Medal at the I IFSul Regional Mathematics Olympics

    Sul-rio-grandense Federal Institute
    2017

  7. Bronze Medal at the XV Rio Grande do Sul Chemistry Olympics

    Liberato Salzano Vieira da Cunha Foundation
    2016


Acknowledgments

  1. Outstanding Poster at the 11° Technological and Scientific Initiation Journey

    Sul-rio-grandense Federal Institute
    2018