Data Scientist

Education

• Master of Information and Data Science

  University of California, Berkeley (December 2023)

• B.S., Management (Finance & Accounting)

  Boston College Carrol School of Management (May 2012)

Technical Skills:

Programming: Python, R, Shell Supervised Machine Learning: Regressions, SVMs, Decision Trees & Ensemble Methods, Naïve Bayes, kNNs Unsupervised Machine Learning: PCA, Clustering, GMMs Deep Learning: CNN, RNN, LSTM, Transformers Statistical Modeling: Model Selection & Diagnostics Data Engineering: SQL/NoSQL Databases (i.e. PostgreSQL, Redis, Neo4j), Spark, AWS, GCP, Databricks, Snowflake

Projects

Sentiment Analysis Deployment on Azure Kubernetes Service

to be added

Fine Grained Sentiment Analysis

to be added

Predicting Flight Delays through Machine Learning

to be added

link

Stock Price Prediction using Machine Learning and Social Media

to be added

Impact of Household Income on Crime Rate

to be added

Invest in $SAND ?

to be added