I'm a data analyst/scientist with a knack for bridging the gap between business and technical sides
and the will to interpret the world through data.
This portfolio displays some of the fun things I've done.
Developed an interface that can be used to identify and locate penguins in any given image. Project was built on a penguin image dataset to train an object detection model.
Developed machine learning model to prioritize student learning improvement initatives. Model predicted most probable student failures with 86% accuracy or all student failures with 79% sensitivity.
Developing a fraud transaction detection model on the AMLsim dataset. The dataset was created by IBM to replicate fraudulent transaction patterns allowing researchers to test different anti-money laundering (AML) techniques.
Studying the traffic and revenue effects on stores located in a region where a new store started to operate for a player in the retail sector. Analysis will serve as a tool to improve expansion strategy for the whole chain.
