Hi, I'm Matheus Dias,

About Me

Welcome to my website! I am a Machine Learning Engineer looking for interesting problems to work on. I am finishing up my Master's in Statistics at Stanford University, where I focused on Interpretability, Causal Inference and Image-To-Text Generation. I have previously interned at Meta AI and Openlayer (YCS21).

Skills

SQL
R
Python
C++
Numpy
Matplotlib
SKLearn
PyTorch
Pandas
Keras
Git
Bash
VS Code

Education & Experience

For more information, have a look at my CV .

  • Openlayer Sep 2022 - Dec 2022
    Machine Learning Engineer Intern
    Python PyTorch
  • Meta Jun 2022 - Sep 2022
    Research Data Science Intern
    Python Time Series
  • Stanford University Sep 2021 - Mar 2023
    M.Sc. Statistics
    Causal Inference Natural Language Processing Computer Vision Time Series
  • Wildlife Studios Oct 2020 - Aug 2021
    Data Analyst
    SQL R
  • Bain & Company Sep 2019 - Oct 2020
    Associate Consultant
    Python Excel
  • Duke University Aug 2015 - May 2019
    B.A. Mathematics and Economics
    Econometrics Mathematical Finance

Projects

Randomized Controlled Trial of Cash Transfers on Educational Attainment

Demo
Stata Causal Inference Logistic Regression

Analysis on identifying outlier municipialities on domestic violence subnotification using ensemble models

Demo
Python SciKit Learn

Evaluating the correlation between sentiment toward the President from Tweets and his approval from polls

Demo
Python NLP Sentiment Analysis

Using Random Forest and SHAP Partial Dependence Plots to understand the relationship between fundrainsing and election probabilities

Demo
Python SHAP SciKit Learn

Open Source Projects

Granger Causality Analysis on VAR and Neural Networks

Github

XGBoost Classifer and XAI to understand relationship between Campaign Funding and Probability of being elected

Github

ANOVA Analysis on Experimental Data

Github

Reanalysis of COVID Vaccination Intent study identifying covariate imbalances

Github

Contact

Feel free to contact me through one of the channels below