We aim to model the probability of attrition using logistic regression. The results thus obtained will be used by management within an organization to understand what changes they should make to their workplace, in order to get most of their employees to stay.
Practicum: Lead programmer collaborating with all team members to build a successful training model to predict letters from the Latin alphabet through the process of persistent homology. Using the notebook Lower Star Image Filtrations from ripser.py we’re identifying 0-Dimensional classes in each letter to classify them through their Euclidean coordinates.
This is a research paper I wrote for my senior project in Econometrics, it shows how there is a linear correlation between a countries crime index and there levels of education through simple linear regression and multivariate regression.
Using a tutorial from Kaggle to perform Statistical analysis on Breast Cancer Dataset in Python.
Using a notebook from Kaggle to understand how to use Support Vector Machines
Data Scientist
During my undergraduate studies, I was pursuing a career as an Actuary and that journey took me to St.Johns University, Purdue University and my final stop the Univeristy at Albany. Realizing that I wasn't happy pursuing that path, I decided to take a look at myself and asked the question of what I want in life. And then I embarked on a road towards Economics and I fell in love with Econometrics and data manipulation. Becoming a research assistant in Econometrics, it gave me the passion for data analytics through statistics and I knew from that moment on that I wanted to pursue a career in that spectrum. From that experience a Data Scientist has been born and I'm happy that I was given the opportunity to embark in the Masters program at the University at Albany.