About Me

I am a full stack data scientist with experience in working at start-ups. I am interested in working with teams to extract meaningful information from data by applying machine learning algorithms to drive business decisions.

I graduated cum laude with a Bachelor of Science in Computer Science from St. Lawrence University where I was also a student athlete (Tennis). I briefly worked as a full stack developer where I built the backend and frontend for a fully interactive website.

I obtained my masters degree in data science (MSDS) at the University of San Francisco in 2022. I am currently working at Inuvo as a Data Scientist.

Resume

Please find my projects down below.

Torture the data,
and it will confess to anything.

- Ronald Coase

ML Algorithms Implementations
from Scratch in Python

Feature Importance

Exploring and implementation of different methods of feature importance

Random Forest

Implementation of random forest from scratch

K-means

Implementation of k-means clustering with k-menas++ centroids from scratch

Linear Regression

Implementation of linear, ridge, and logistic regression from scratch

Decision Tree

Implementation of decision tree from scratch

Naive Bayes Classifier

A multinomial naive bayes classifier to predict the sentiment of a movie review

Real World Projects

Ecommerce Price Prediction

In this project we are predicting Ecommerce goods' prices during the first covid outbreak.
(Pyspark, spark MLlib, MongoDB, AWS S3)

City Recommendation

Built a recommendation system to recommend cities to travelers based on implicit ratings.
(Pytorch, Pandas, Matrix Factorization, Neural Networks)

S.F.F.D. Response Time

An analysis of San Francisco fire department response time versus different factors.
(PySpark, Plotly, AWS EMR)

Keep in Touch