Open to opportunities

Emily Perry

@emilyperry

Message

Principal Data Scientist with 9 years of industry experience

United Kingdom

Message

What I'm looking for

Seeking a challenging role that adds value to an organisation through contributing to the research, development, and productionisation of models and algorithms.

I'm a seasoned data scientist with a passion for driving business value through the development and production of cutting-edge models and algorithms. With a strong background in machine learning, computer vision, and NLP, I thrive in dynamic environments where collaboration with product teams and engineers is key to creating world-class data science products.

Throughout my career, I've had the privilege of working with a diverse range of companies, from early-stage startups to large-scale unicorns, and have developed a unique ability to implement good processes that address client and customer needs. I'm also dedicated to elevating communication with internal stakeholders through improved documentation and well-defined deliverables.

In addition to my technical expertise, I'm a passionate mentor and have introduced learning and journal clubs, teaching Python, SQL, data analytics, and data science to others within the organization. I'm excited to leverage my skills and experience to drive business growth and innovation in a challenging and rewarding role.

Experience

Work history, roles, and key accomplishments

Current

Principal Data Scientist

Current

Edited

Jan 2019 - Present (6 years 4 months)

Worked as a Principal Data Scientist, contributing to the research, development, and productionisation of models and algorithms, and collaborating with the product team and engineering to create world-leading data science products.

Machine Learning Computer Vision NLP Logistics Time Series Segmentation Python Keras R AWS Docker Kubernetes

Data Scientist / Senior Data Scientist

Deliveroo

Jan 2016 - Jan 2018 (2 years)

Worked as a Data Scientist, predicting rider travel time, travel delays, and restaurant preparation time, and developing AB test prediction models for the time-based elements of the larger Rider-Order assignment algorithm.

Machine Learning Time Series Python Keras R Testing AWS Docker Kubernetes

Data Scientist

Movement Strategie

Jan 2015 - Jan 2016 (1 year)

Worked as a Data Scientist, mining 22m users' phone data to derive segment analytics, and optimising flow at large events using Bluetooth and tracking cameras.