I'm a Senior Analytical Manager with a passion for data visualisation techniques, process mining healthcare data & telling stories with data. I love to learn new technologies and improve my skills.
My career is mainly in Acute Hospitals where I've managed analytical teams, however over the last few years I've been working in NHS England within the East of England Region. I enjoy coaching people & supporting other analysts in problem solving.
- 😄 Pronouns: She/Her
- 🔭 I’m currently working on automating all reporting in my role; mainly RTT, Outpatients & Inpatients.
- 🌱 I’m learning Python, R & Databricks. I'm also studying on a Data Analytics MsC with BPP University.
- 👯 I’m looking to collaborate on any NHS England regional projects which could support a reduction in duplication, automated reporting utilising the tools i'm currently learning & all areas of elective NHS data.
- 🤔 I’m looking for help with any articles linked to machine learning, data science & databricks.
- 💬 Ask me about SQL, process mining or ideas on visualising data and framing analytical problems.
- 📫 How to reach me: If you would like to connect professionally, you can contact me either on ruby.nicholls@nhs.net or my linkedin page.
- ⚡ Fun fact: When i'm coding my go-to music choices are usually either metalcore or indie dreampop - have a look at my spotify analysis!
- Programming Languages: Python 🐍, R, T-SQL
- Big Data & Analytics Frameworks: PySpark, Spark SQL
- Version Control: Git
- Cloud & Development Platforms: Databricks, Azure
- Databases: Microsoft SQL Server
- Description: Utilising healthcare data for process mining using open source languages. Currently have a R template, building a python template.
- Technologies Used: R, Python
- Link: Process Mining R code with sample dataset and Process Mining Python Notebook with sample dataset
- Description: Currently undertaking a masters in Data Analytics with projects in programming. Most recent project was to build a model to predict how many customers will leave.
- Technologies Used: Python
- Link: Telecomm Churn Analysis
- Description: Using the spotipy API to visualise my listening habits on Spotify.
- Technologies Used: Python, Google Colab
- Link: Spotify analysis using spotipy
-Description: Pulls together useful resources on the coding languages i use. Feel free to suggest anything not listed or share your own. -Link: Coding Resources
See people I follow or repositories I've starred. Repo's worth a special mention below:
-Description: Pulls together different methods of forecasting, with easy to follow plain english descriptions. I used this alot for time series forecasting as a reference point. Each methods subfolder has great instructions to follow with code. -Link: Forecasting
