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Elizabeth Morgridge

Elizabeth Morgridge

Data Scientist

University of Sheffield | United Kingdom

Technologies

My Portfolio Highlights

My New Workbook

Project: Predicting Credit Card Approvals

My New Workbook

Project: Modeling Car Insurance Claim Outcomes

My New Workbook

Project: Building a Retail Data Pipeline

My New Workbook

Project: Predicting Credit Card Approvals

Quantitative chef, mixing variables and algorithms to create delectable insights.

My Work

Take a look at my latest work.

DataLab

Project: Predicting Insurance Charges using Regression

Python
DataLab

Project: Modeling Car Insurance Claim Outcomes

PythonTheory
DataLab

Project: Predicting Credit Card Approvals

Python
notebook

Project: Building an E-Commerce Clothing Classifier Model with PyTorch — DataLab

Python
DataLab

Project: Building a Retail Data Pipeline

Python
github

Deprivation Domains and Health Disparities- An in-depth Analysis on Birmingham

RTheory
DataLab

PySpark Assessment of Academic Publications

PythonSQL
DataLab

Project: Predicting Insurance Charges using Regression

Python

DataCamp Course Completion

Take a look at all the courses I’ve completed on DataCamp.

Courses

Introduction to Python
Introduction to SQL
Intermediate SQL
Intermediate Python

My Work Experience

Where I've interned and worked during my career.

Sheffield Institute For Translational Neuroscience | Apr 2024 - Jul 2024

Microscopy Data Analyst Intern

• Conducted comprehensive analysis on cell data to assess the effects of clinical trials for Huntington's disease treatments. • Compared clinical trial results with data from patients diagnosed with Huntington's disease to identify significant differences and patterns. • Managed and analysed large-scale mitochondria data, employing advanced statistical methods to uncover underlying relationships. • Created detailed plots for exploratory data analysis, facilitating better visualisation and understanding of complex data sets. • Tested hypotheses using appropriate statistical tests, ensuring robust and reliable conclusions. • Collaborated with the research team to interpret findings and contribute to ongoing drug development efforts. • Efficiently managed large datasets, ensuring data integrity and consistency.
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Decagon | Oct 2022 - Sep 2023

Product Manager

• Successfully managed the end-to-end product development life cycle for the institute's custom SaaS system for student recruitment. Ideated and spearheaded the creation of admin and applicant portals from ideation to launch, resulting in performance visibility of the recruitment process and increased resumption rate by 20% • Collaborated with cross-functional teams, including software engineers, UX designers, and marketing specialists, to ensure alignment on product vision and successful delivery of technical and non-technical requirements. • Managed stakeholder relationships, including internal teams and external vendors, to ensure successful delivery of the product roadmap and alignment with business objectives. • Managed the comprehensive student recruitment funnel from a growth perspective, from marketing to resumption, resulting in 30% of self sponsored students. This significantly contributed to the company’s financial stability by ensuring upfront tuition payments, resulting in a substantial increase in immediate revenue for the organisation. • Coordinated various micro-processes, including marketing, tele-sales, assessments and admissions. • Developed and executed marketing strategies to drive user acquisition and engagement, resulting in increased brand awareness and a 20% increase in user acquisition.

Decagon | Mar 2021 - Oct 2022

Program Associate/ Scrum Master

• Led a Team responsible for managing processes that resulted in the technical recruitment of over 200 Software developers. • Managed a process that increased the number of applicants for Decagon’s software engineering program and converted Applicants to Trainees by 40% • Designed an agile, communication, and leadership course that helped engineers master skills necessary for productivity in the workplace • Program and people management of multiple cohorts of over 200 software developers including but not limited to organizing activities around the learning program to ensure the company goals are met • Facilitated Daily Standups and performed Scrum Master duties for three Software engineering projects.

My Education

Take a look at my formal education

Master of Science in Data ScienceThe University of Sheffield | 2024
Bachelor of Science in SociologyCovenant University | 2020

About Me

Elizabeth Morgridge

I am excited about data and it's applications in businesses and organisations. My skillset spans across data analytics and machine learning. I am looking for an opportunity to grow as a data professional, while contributing to impactful projects.

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