Looking for a Data Scientist?
I’m a Data Scientist - jazz enthousiast, passionate about:
Building automated systems, working with data, teaching, basketball as well as traveling in the pursuit of discovering parts of the world and their cultures.
My background is in
Data Science/Engineering,
Physics and
Music.
Currently learning about Machine learning,
Data Mining,
Cloud Computing and
Artificial Intelligence.
Transferred to Nottingham in the 2nd year of my degree. Then switched my degree to theoretical physics. Captain of the Physsoc Basketball Team.
Participated in Physsoc, achieved a 76% average with 90+% in all mathematics related modules.
Working with risk score data to build data-driven solutions that help reduce the risk associated with accepting a candidate for a lease.
Working with vehicle telematics crash data, I maintained and lead machine
learning projects, such as crash driver liability and accident severity
prediction within the crashmatics group.
Obtained AWS experience as well as experience in full-stack
ML-deployment, from data preprocessing to model to API.
More specifically refining the business problem and data into pre-processing
steps, feature engineering, model
training and deploying the model in a CRISP-DM-type lifecycle. The
technology stack used includes Python, Bash scripting
and AWS for storage and deployment. Specific technologies used also
include MLFlow and Docker, for development tracking
and deployment respectively.
Taught science classes, built interactive tools using Python to
enrich the
experience
in class. A great opportunity that
improved my communication
& mentoring skills.
Developed an understanding on how to develop and apply a variety of machine
learning
and data mining approaches for the
treatment of datasets
of various kinds, and in ways which may sometimes be considered artificially
intelligent. Module based in Python.
Introduction to such technologies as Amazon Web Serviecs,
Google App Engine,
Apache
Hadoop. With
labs to help
solidify an understanding on basic processes within each one.
Developed proficient understanding of Database systems, Database design and
implementation, Business Intelligence and
how to use SQL to
handle and query large data-sets.
Developed a proficient understanding in data visualisation techniques,
clustering
algorithms, decision trees and other
machine learning techniques,
using R. Alongside with a solid understanding of
the CRISP-DM
process and a
theoretical understanding of the ETL
pipeline process.
Physics & Mathematics || 2 yearsMusic Education || 6 years