NLP Research & Data Scientist. A feminist. A latina. A speaker.
Django,Regex,Pandas, Matplotlib, Scikit Learn, Numpy, BeautifulSoup4, Selenium, Tensorflow, PyTorch
NLP: NLTK, GPT-2, Gensim [LDA, Word2vec, Glove], HuggingFace(BERT)
tidyverse, caret, modelr, MASS, tidytext, stringr, lubriate, acs, Rsocrata, glm, Shiny, leaflet, survey
Redshift, Snowflake, Postgres
S3 buckets, Redshift, AWLS CLI, EC2, Boto3, Lambdas, Cloudwatch, Gateway
Worked with both supervised and unsupervised methods. Experience has mostly centered on Natural Language Processing using word embeddings and dimension reduction on text and comparing performance across Word2Vec vs LDA vs BERT. Also have experience in topic modeling with Latent Dirichlect Allocation. Other methods have centered around generalized linear models, random forest, KNN, PCA, XGBoost, SVM, etc. Implement feature importance,residuals analysis, measuring overfitting vs underfitting, sampling, cross validation, regularization, hyperparemeter tuning, ensembling models, bias vs variance tradeoff etc.
Demoed code about Python's BeautifulSoup4 and Selenium for 3 different organizations.
Demoed code about Python's Package Pandas for Data Analysis
Demoed Python code on how to construct if else and while statements
Demoed Functions vs Methods (Object Oriented Programming)
Fundamentals of an R Shiny web app
Research Assistant January 2019-Present under the supervision of Dr.Boukouvalas
Textbook Award Recipient 2020