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Kaylea Haynes

Data Scientist

Residently

Hello World

Hi I’m Kaylea, a Manchester based data scientist currently working at Residently. I’ve done quite a lot of work in time-series analysis, demand forecasting and changepoint detection. I’m currently broadening my skills working on different projects.

The plan for this blog is to:

  • share my knowledge on time-series analysis and forecasting, particularly applied in industry
  • document my learnings as I grow and develop as a data scientist
  • share any thoughts and discussions from attending data science meet-ups.

Feel free to contact me about anything in this blog via LinkedIn or Twitter.

Blog

Recent Posts

Starting a new job remotely

I am writing this blog post 4 weeks into a new job, all of which has been during the Covid 19 lockdown. Here are some tips.
May 16, 2020 10 min read discussion, data science

Academia to Tech

Introduction When Rachael from Her+ Data Manchester got in contact asking if I would be a speaker at one of their events this year she …
Apr 14, 2020 14 min read discussion

Learning python as an R user

Introduction As an avid listener to some tech podcasts, particularly ones that are run or feature people that I know, (pydataMCR and …
Apr 2, 2020 6 min read data science, python, R, learning, development

Changepoint Detection

Happy New Year (although by the time this post goes live it’ll be halfway through January, so it’s probably becoming a bit too late to …
Jan 19, 2020 9 min read data science, statistics, technical, changepointdetection

I've started my chRistmas countdown

I had this grand idea last year of making an R advent calendar, although I was a bit too late to make one on time for the Christmas …
Dec 1, 2019 32 min read
See all posts

Speaker Events

Fun with Functions

On the 4th of February I presented a workshop on functions in R at the R Ladies Manchester meetup.
Feb 4, 2020 6:30 PM — 8:30 PM

Publications and Resources

PyDataMCR Podcast Episode 3 - Forecasting Ft. Kaylea Haynes

I joined the team at PyDataMCR on their podcast to talk about forecasting.
Podcast

Skills

R

Time-Series/Forecasting

Python

Experience

 
 
 
 
 

Data Scientist

Residently

May 2020 – Present Manchester
 
 
 
 
 

Data Scientist

Peak

Apr 2017 – Apr 2020 Manchester
Projects include:

  • Demand forecasting to get the right stock in the right place at the right time.
  • Optimising pick runs in a warehouse.
 
 
 
 
 

PhD

STOR-i Lancaster University

Sep 2012 – Oct 2016 Lancaster
Detecting Changes in Big Data