John Vard

John Vard has a diverse work experience in various roles in the fields of data science, analytics, technology consulting, and engineering.

John was a Lead Data Scientist at ESW, where they proposed and implemented analytical solutions to deliver business value. John also contributed to data strategy and the establishment of a data culture within the company.

Prior to that, John worked at Accenture as an Analytics and Modeling Associate Manager. In this role, they implemented a statistical-based anomaly detection algorithm to optimize travel spend and identify abnormal expense claims.

John also worked as a Technology Consultant at University College Dublin (UCD), where they performed proof-of-concept projects and provided commercial assessments for medical device concepts.

Before UCD, they were a Principal Engineer at ArraVasc Ltd, where they employed statistical methods and developed theoretical models to optimize processes and streamline product development.

John's work experience also includes being an R&D Engineer at NUI Galway, where they performed computational analysis for the design of award-winning medical device technology.

John started their career as a Reseach Fellow at Trinity College Dublin, where they devised a rigorous design approach for medical products and successfully pitched a product for licensing.

Overall, John's work experience demonstrates their expertise in data science, analytics, technology consulting, and engineering across various industries.

John Vard completed their education in the following chronological order:

1. From 1996 to 2000, they attended Trinity College Dublin and obtained a Bachelor's and Bachelor of Mechanical Engineering (BA, BAI) degree. The field of study for this degree is not specified.

2. Between 2002 and 2004, they pursued an MSc by Research degree from Trinity College Dublin. The field of study for this degree is not specified.

3. From 2015 to 2018, they attended University College Dublin and earned an MSc degree in Data Analytics.

In addition to their formal education, they obtained the following certifications:

1. In February 2020, they became a Certified SAFe® 5 Practitioner from Scaled Agile, Inc.

2. In September 2014, they completed a Machine Learning course from Coursera.

3. In October 2008, they earned a Project Management Certificate from the Open University Business School (OUBS).