A (corrected) dataset derived from information collected by the US Census Service concerning housing in Boston, Massachusetts (1978).

A dataset derived from information collected by the US Census Service concerning housing in Boston, Massachusetts (1978).

A (corrected) dataset derived from information collected by the US Census Service concerning housing in Boston, Massachusetts (1978).

The City of Boston pattern library for public-facing websites.

A static site for goinvo.com using GastbyJS

An interactive map of Boston's transit system.

Using Boston dataset to train predictive models using logistic regression and decision trees and evaluate the performance of those models.

City of Boston javascript webapps managed by DoIT Digital Team.

Useful Northeastern resources and links; a Student Hub alternative

Website for the Cambridge MA synth rock band Spider Water

My three chatbots are designed to utilize users' actual work experience and align it with keywords extracted from job descriptions. They then generate tailored resumes, professional summaries, key highlights, and cover letters. These outputs are optimized to improve searchability within applicant tracking systems and chances of getting interviews..

TransitFind is an MBTA line/stop information web app for dedicated displays.

The official documentation of the City of Boston's Analytics Team.

Project for accommodation of conference participants in Boston

An exploratory analysis of the factors behind why Boston 311 requests fail, and a predictive model that gauges the probability of a request's failure. Conducted as part of MSBA curriculum.

Importing Boston dataset and describing the overview of the data using libraries such as Numpy, Pandas, Matplotlib and Seaborn. Analysing and creating various visualizations (Box plot, Scatter plot, Histogram). Examining the data structure, missing values and inconstencies to ensure data quality.

An portal for easily exploring the results of Boston municipal election

EDA on Boston Crimes in 2018

The Boston House Price Prediction project utilizes data science methodologies and machine learning algorithms to provide accurate predictions for housing prices in the Boston area.