About Me
Welcome! I am a versatile and innovative Machine Learning Engineer with a Master’s degree in Artificial Intelligence. My expertise lies in the intersection of AI, data, mobile development, and strategic product planning. With a strong background in AI product management and iOS development, I have successfully launched many live products that have reached and engaged a broad audience.
What I can help with...
Data Analysis & Visualisation
- Identifying underlying patterns in your data, such as seasonal fluctuations, can result in better detection of outliers
- Creating dashboards that allow stakeholders to understand the data
- Understanding customer behaviours can help focus marketing or optimisation in the right place
Machine Learning & AI
It is quite normal these days to look to bring in some form of AI capability to your product; it sounds great and the investors love it, but not many people understand the requirements for a successful AI implementation.
I can help shape your use-case and find the AI solution that is right for you - without the bs.
- Shaping your problem and identifying whether AI is the right solution for you
- Identifying, analysing and preparing your data in order to build appropriate models
- Selecting the correct model or models for your problem
- Training, evaluating and optimising your models
- Ethically evaluating your use case
iOS App Development
- Building an MVP of your startup idea
- Design, development and testing of iOS, iPadOS, watchOS and macOS app
- Integrating your ML models into your native Apple app
- Publication of your app on the Apple App Store
- Connecting your Apple App to Firebase for data collection and authentication purposes
Skills & Technologies
Data Analysis & Visualisation
- Basic regression models
- Classification models (eg. Support vector machines, random forests)
- Unsupervised clustering (eg. DBSCAN, hierarchical clustering)
- Dimensionality reduction (eg. PCA)
- Tableau
- Google Analytics
- Adobe Analytics
- Excel
ML & AI Models
- Convolutional neural networks - typically used for images and videos
- Recurrent neural networks - good for things like time series analysis
- Autoencoders - can be used to generate images
- Generative adversarial networks - often used for data augmentation
- Transformers - GPT stands for Generative Pre-trained Transformer
Python & R Frameworks
- numpy
- pandas
- Scikit-learn
- TensorFlow
- Keras
- PyTorch
- SciPy
- Matplotlib
- tidyverse (including ggplot2, plotly, dplyr)
- shiny
- rmarkdown
Apple Frameworks & Other Related Technologies
- SwiftUI
- MapKit
- VisionKit
- StoreKit
- SwiftData
- Core Data
- Swift Charts
- Core ML
- GameKit
- SiriKit
- TipKit
- XCTest
- CloudKit
- Lottie
- SwiftyJSON
- Firebase - including Firestore, Auth & Cloud Storage
- RevenueCat
- Git & Github
Ways of working
- Agile
- Atlassian (Jira/Confluence)
- Asana
- ClickUp
- Trello
- Notion
- Scrum Master Certified
- Prince II Certified
Experience & Qualifications
MSc in Artificial Intelligence
Advanced knowledge and understanding of AI principles, algorithms, and applications. Skilled in applying academic research to practical, real-world challenges. [Add more details here]
Corporate roles
BBC, NatWest Group
Tech startups
labworks.io
Individual Projects
[Add details about your personal projects and accomplishments here]
Contact
If you would like to get in touch, please email me at hello@fionakate.co.uk.