ABOUT

Danielle is currently a Software Engineer at Accenture where she joined in September 2017 after graduating from the University of Warwick with a Data Science BSc (Hons). Danielle has worked heavily with AWS such as CloudTrail, CloudWatch and S3 in a Cloud Architecture context; her strongest programming language is Python, and she has substantial experience using CI/CD tools such as Jenkins (Groovy Language) and Terraform.


Danielle is passionate about training and competing in Taekwon-Do at a national level; with the aim of competing internationally in the future. At the moment she has graded to a Red-Tag (3rd-kup) and would like to become a Black Belt within the next two years.

EXPERIENCE

FREELANCE
[ 2015 - Present ]
  • Three websites built and hosted, with more projects ongoing.
  • Comprehensive knowledge of Front-End languages HTML and CSS.
  • Considerable experience with JavaScript and PHP.
  • Experience with web-hosting and SEO.
PYTHON DEVELOPER
[ Feb 2018 - Present ]
  • Extensive knowledge of Python.
  • Experience with Jenkins - deploying code & configuration of CI/CD pipeline (Groovy Language).
  • Familiar with the Terraform language.
  • Exposure to AWS technologies (e.g. CloudTrail, ElasticSearch, S3).
BIG DATA ENGINEER
[ Jan 2018 - Feb 2018 ]
  • Learnt to manipulate Big Data for a national postal and courier service client using Apache Spark, Scala and HiveQL (SQL).
AWS ENGINEER
[ Oct 2017 - Dec 2017 ]
  • Experience using AWS Lambda functions in a Disaster Recovery context for an international telecommunications client.
ENTERPRISE IT SOLUTIONS ARCHITECT
[ Jun 2016 - Sep 2016 ]
  • Presented a 1-hour ‘Knowledge Share’ on Big Data to the entire EIT Architecture Team.
  • Worked on front-end of internal innovation platform, eRIS.

EDUCATION

  • Completed an Individual Project in Predictive Analysis with Decision Trees (Python).
  • Achieved a 1st in Social Informatics module.
  • Wrote an Analysis Project on Artificial Intelligence using Robocode software as a basis.
  • Further modules: Machine Learning (Python), Neural Computing (Python), Computer Graphics (C++), Programming for Data Science (R Statistical Language) & Topics in Data Science.