Indiana University, Bloomington
Bachelor of Science, Computer Science
August 2016 - December 2020
Concentrations:
- Artificial Intelligence
- Data Science
Minors:
- Linguistics
- Computational Linguistics
7
Machine Learning Engineer
Target Corporation
I'm a Machine Learning Engineer at Target and a 2020 graduate of Indiana University. I studied computer science with a focus on artificial intelligence and data science. I earned minors in linguistics and computational linguistics as well. I have been programming for 14+ years with experience in Python, R, React, and more.
In 2020 I was an undergraduate researcher under Dr. Sandra Kübler of the Indiana University Department of Linguistics. Our paper on the role of biased data in abusive language detection was accepted into the Fourth Workshop on Online Abusive and Harms and presented at the 2020 Conference on Empirical Methods in Natural Language Processing.
I'm currently working on overhauling this site using ReactJS, JavaScript (JSX), and SCSS. Stay tuned!
Lead author of a paper investigating the role of bias in abusive language detection. Submitted to the 4th Workshop on Online Abuse and Harms, colocated
with the 2020 Conference on Empirical Methods in Natural Language
Processing.
View the paper here.
I trained a few popular speech synthesizers to produce intelligible Chuvash audio clips from written samples of the language. I used Python as the primary programming language and R for processing non-audio data. Special permission was granted to train neural networks for each speech synthesis solution on IU's Big Red II supercomputer.
Read the paper here, and the Request for Proposal (RFP) here. Code is available in my class repository on GitHub. Final project for LING-L 445 "Computation and Linguistic Analysis," a graduate level course.
I used R to observe trends in a provided dataset and wrote a report to discuss my findings. This was
part of the data science technical screening for the Xtern Summer 2019 internship program. I passed the
screening and earned a spot in the Xtern Class of 2019 as a Software Engineer.
View the report here.
I worked on 4 projects for Xtern Bootcamp 2018 that utilized a mix of HTML, JavaScript, the ReactJS library, and CSS.
An Amazon-esque marketplace written in Java by a team of three. Jungle lets you register as a buyer
or seller, list items for sale, buy items, receive shipping notifications, manage your account, and more.
It uses CSV files to keep an offline database of accounts and inventory.
Final project for CSCI-C
212 "Software Systems".
Used data provided by Brazilian auto insurance company Porto Seguro to predict the probability of a driver
initiating an insurance claim in the next year. Used R for data preprocessing and
Python to build the model.
Final project for CSCI-B 365 "Data Mining and
Analysis". View the report here.
Developed an AI in a team of two that predicts when to buy and sell popular cryptocurrencies. I used
R for data preprocessing, Python for creating a framework, and the
TensorFlow library for training a recurrent neural network (RNN) model.
Final
project for CSCI-B 351 "Intro to Artificial Intelligence". View the report
here.
Below are some distinctions I've earned in my career so far.
Significant academic distinction given to those who attain a highgrade point average.
Distinction given to underrepresented minority students at IU who are, in the program's words, "leaders and model citizens of the campus community."
Distinction and award given to students who are, in the organization's words, "among the best and brightest Latino students in the country."
Email: dante (at) razonet.org
PGP: Public
Key