Data Scientist Nanodegree Student @Udacity
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Decision-Tree
December 2, 2018 – December 2, 2018
Titanic Survival Model with decision tree
View Projectregularization
November 20, 2018 – November 20, 2018
Used sklearn's Lasso class to fit a linear regression model to the data
View Projectpolynomial_regression
November 14, 2018 – November 14, 2018
polynomial_regression — GitHub repository
View Projectmultiple-linear-regression
November 10, 2018 – November 10, 2018
I'm using the Boston house-prices dataset. The dataset consists of 13 features of 506 houses. I've fit a model on the 13 features to predict the value of the houses.
View Projectlinear-regression-model
November 9, 2018 – November 10, 2018
linear-regression-model — GitHub repository
View Projectsimple-regression
November 9, 2018 – November 9, 2018
A function that executes mini-batch gradient descent to find a best-fitting regression line on a given sample dataset (as in data.csv).
View ProjectCourtCounter
October 2, 2016 – October 2, 2016
application for score count of a basketball match
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and focused on academic/foundational machine learning concepts in Python, and basic Java applications. While demonstrating initiative, the project diversity and depth do not strongly align with a senior Backend Engineer role requiring robust system design, distributed systems, or complex API development. The projects are more indicative of an entry-level or junior profile.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.