You will receive 1-on-1 or group coaching online. I'll go through my course, based on Python, GitHub, different datasets.
You'll have theory explained and example code.
We'll go through the code together and you can ask questions at any point.
Often, students want to do 1 hour a week until they have understood and practiced the whole course but I can tailor my coaching to what you need.
You'll get the course content to go through in your own time too, lifetime access.
Alternatively, you can ask me for help with Machine Learning or Python problems you have.
For either of these, you can book time into my calendar for 1-on-1 sessions.
I have a PhD in AI/Machine Learning in Neutral Networks (2010) and have been a Data Scientist in the commercial world and the academic world since 2014.
I've been coaching in ML since Jan 2020, and my students/clients have always come away with much better understanding of Data Science skills and tools,
All of my career coaching clients have secured jobs during my coaching.
I've got experience with many different Machine Learning methods (often called AI but Data Scientists call it ML) and different types of data.
Neutral Networks, statistical methods, Digital Signal Processing supervised learning, regression, prediction, natural language processing, A/B testing & hypothesis testing and clustering.
I can teach you all these, starting from basic Python and installing Python, backing up your code and GitHub, commenting well.
Data Scientist, solving business problems with Machine Learning, Feature Engineering, Statistics since 2014
Produced compression methods for vehicle data better than the standard.
Feature Engineering and Machine Learning algorithms to detect heart attacks: device for hospitals.
Assisted in algorithms that detect vehicle faults, crashes, bad driving.
Speaker at international conferences, career and Data Science coach.
Goal-oriented, attracted to delivering solutions to complex business problems.
Communicate with stakeholders in plain English and keen to make clients happy.
Build Intellect Limited Data Science Consultancy CEO
Aug 2020 - present
Career coaching: Upskilling Data Scientists with technical and soft skills, ensuring they get hired (they all have got hired so far).
Business operations: marketing, sales, accounts. Networking with lots of technical people and directors. Blog writing, social media posts. Data Science: sharpening my Deep Learning skills, Python, AWS.
Creavo Med Tech Healthcare Research Scientist
May 2019 - July 2020
Finding the best Machine Learning, Feature Engineering methods for a heart-scanning device for heart attacks with, Image Analysis, Signal Processing. Mentored medical doctors in Machine Learning and Digital Signal Processing. Presentations to the Research Team and to all staff. Meeting with potential collaborators. Collaborating and communicating with other teams in the business. Learned a lot about the structure of the human heart and possible faults.
Lots of conversations with the team, cardiologists and a consultant to understand the Physics, Medicine, Features, ML and how to solve the problem.
Lead a well-attended healthcare Machine Learning code walkthrough BrumAI meetup:
Python: scikit-learn, pandas, matplotlib, numpy; MATLAB: visual bag of words, blob analysis, DFT.
University of Warwick, Comp. Science Research Fellow | Jaguar Land Rover Funding
April 2017 - April 2019
I worked with a professor to ideate a method to compress data, reported back to client (JLR), coded it, wrote it up in a research paper, packaged it up for the client.
Produced a data compression >= 99% accuracy per signal. 10x more than .zip. Works on-the-go.
Selected the most effective compression method per signal. Jaguar Land Rover were very eager to use my method as soon as possible. Graph Theory, PCA, FFT, DCT, Wavelets.
Python: scikit-learn, pandas, matplotlib, numpy, numpy.fft, pywt, TensorFlow, time; LaTeX.
Trakm8 Ltd., Engineering | Big Data Scientist
June 2014 – April 2017
Worked with our boss, the founder, and my teammates and one other team to decide what we needed to do, what data we needed, whether each method was working/showed promise.
Co-ideated and co-coded a Data Science platform for time-series data that detects: 1. vehicle faults, 2. crashes from vehicle data, with no camera. I owned the Physics, Machine Learning and Statistics. Discovered detection of vehicle tailgating with no cameras. Employers made a patent application from my work. Initially, my work was passed-on to a software person, later we re-organised to have product-focussed, multi-functional teams: sales, data-collection, software, data science, test engineers.
R: ggplot2, shiny, dplyr, knitr, RMarkdown; C#; MATLAB; Excel.
University of Leeds
Physics and Astronomy | Research Assistant/Intern
June – August 2008
8-week internship in Physics labs.
University of Warwick
PhD in Machine Learning & Chemistry
Oct 2010 – May 2014
Generated an ML package to estimate protein structures from UV light scans. Licensed by University. Classified electrical signals from muscles for robotic limb control. Spoke at conferences. Published 3 papers ML & Chemistry, PhD Thesis.
MATLAB: coding a Neural Network (SOM) from scratch, to cluster UV light scans of proteins by structure.
MSc Chemistry Biology Computer Science
Sept 2009 - Sept 2010
University of Leeds
MPHYS & BSc Physics
Oct 2005 – July 2009
Perfect! Vincent is very patient and knowledgeable about data science, Python and machine learning. His lessons are enjoyable and really helped me learn. I can highly recommend his tutoring!
Roy turns up on time and doesn't waste my time at all.
He's keen to pay fairly.
He does the work and thinks well so he can succeed.
All-round good, no complaints.
|at his home||at your home||By webcam|
|1 hour||Not available||Not available||£30|