PORTFOLIO

James Lee

DATA SCIENTIST

Portfolio

ABOUT

Profile Picture

Data Science MSc graduate with a keen interest in analytics, statistics, machine learning and computer vision

Profile

I’m James, a recent graduate of the University of London’s MSc in Data Science, with a strong command of data analysis and machine learning techniques. I achieved a distinction in my MSc, with an overall mark of 88% (4.0 GPA). I focused my Final Research Project on the area of Computer Vision, specifically classification of wildlife from camera trap images using convolutional neural networks. Since completing my MSc I have continued to work on a number of data science projects in order to increase my knowledge.

I possess 15 years’ prior professional experience in business, coupled with a diverse academic background in mathematics, law and philosophy. During my career I earned successive promotions due to strong performance and organizational impact. This has given me a broad skill set including outstanding research and analysis capabilities, excellent communication skills, and a strong commercial awareness.

Outside of work I enjoy playing the guitar and keeping active through football, running, cycling and climbing.

Skills

The following are a selection of some of my key data science and machine learning skills. For a complete demonstration of my capabilities, see my portfolio.

Python R Programming Language SQL Google BigQuery MATLAB Machine Learning Data Science Data Analytics Research Big Data Data Visualisation Deep Learning Mathematics and Statistics Classification Clustering Regression Decision Trees Natural Language Processing (NLP) Neural Networks Predictive Modelling Computer Vision Google Cloud Platform GitHub Jupyter Notebooks ggplot2 Keras TensorFlow Matplotlib NumPy Pandas PyTorch Scikit-learn SciPy Account Management Stakeholder Management New Business Development Business Strategy

Portfolio

This is a selection of some of my key projects, including both personal projects and those created in pursuit of my Master’s degree. If you have any questions about any of these projects, please do not hesitate to contact me using the details at the bottom of this page.

Name Description
Image Classification Using deep learning to classify animals at the family level in camera trap images. Sequential convolutional neural networks built using Keras and TensorFlow to address the issue of overfitting in camera trap image classification.
Regression Analysis Predicting Airbnb Prices with Linear Regression, Support Vector Machines (SVM), Random Forest, XGBoost and Neural Networks and R programming language.
Time Series Forecasting Predicting future sales for shop-item pairs using XGBoost Regressor model with Optuna hyperparameter tuning.
Natural Language Processing (NLP) Binary classification of tweets as referring to actual disasters or not, using Linear (Ridge) Classification, Logistic Regression (with stochastic gradient descent), Support Vector Classification and Multinomial Naive Bayes Classification. Improved model then constructed using Bidirectional Encoder Representations from Transformers (BERT), resulting in an F1 score of 0.835 and a top 100-finish on the Kaggle public leaderboard.
Data Visualisation Analysis and visualisation of survey results examining exercise habits before and during the Covid-19 pandemic, using Pandas, NumPy, Seaborn and Matplotlib.
Statistical Analysis Project examining what it takes to succeed in the English Premier league. Includes data collection, cleaning, exploration, visualisation, and statistical analysis.
Recommender System Content-based filtering movie recommender using Bag-of-Words and Term Frequency-Inverse Document Frequency to measure movie similarity.
K-Nearest Neighbours MSc project to build a k-nearest-neighbours classifier from scratch, without using pre-existing libraries. Implemented with three different distance measures (Euclidean, Manhattan, and Chebyshev distance) and nested cross-validation.
Financial Forecasting MSc project using MATLAB to implement an incremental (online) training algorithm for a Time-Delayed Neural Network for financial forecasting.
Exploratory Data Analysis (EDA) Exploratory data analysis examining data from the Olympics, using SQL, Python and Pandas.

EDUCATION

Data Science MSc

London, UK
Oct 2020 - Sept 2021

University of London

In my Master's Degree I achieved a Distinction (GPA 4.0), completing the following modules:

  • Mathematics of Financial Markets – 100%
  • Data Visualization – 94%
  • Financial Data Modelling – 92%
  • Big Data Analysis – 90%
  • Mathematics and Statistics – 90%
  • Final Project – 88%
  • Machine Learning – 87%
  • Blockchain Programming – 87%
  • Data Programming in Python – 86%
  • Data Science Research Topics – 83%
  • R for Data Science – 69%

Bar Professional Training Course

Leeds, UK
Sept 2013 - July 2015

BPP University

Alongside my full-time employment, I spent two years attending evening and weekend classes in order to study for the Bar Professional Training Course (BPTC). I graduated with a grade of Very Competent (80%), qualifying as an unregistered barrister.

Graduate Diploma in Law

Leeds, UK
Sept 2011 - July 2013

BPP University

Prior to completing the BPTC, I earned a graduate diploma in law (GDL) with a Distinction grade. This was also done through part-time learning while in full-time employment.

Master of Arts (Hons) Mathematics and Philosophy

Edinburgh, UK
Sept 2003 - July 2007

University of Edinburgh

For my undergraduate degree I attended the University of Edinburgh, graduating with a 4-year Master of Arts degree in Mathematics and Philosophy.

Work Experience

President and C.E.O.

San Diego, CA, USA
Jan 2017 - July 2020

DB Orthodontics, Inc.

Due to my strong performance and organizational impact in my role as Export Manager, in 2017 I was entrusted with the setting up and running of DB Orthodontics’ first overseas office. My achievements in this role include:

  • Established the corporation, including obtaining necessary documentation and licenses, negotiating a lease agreement and overseeing all business operations, including HR, finance, marketing and sales
  • Conducted thorough market research, competitive analysis and sales forecasting to define and implement strategic direction of the company
  • Built analytical tools to automate reporting of insights and KPIs to key stakeholders
  • Initiated partnerships with over 350 clients across North, Central and South America
  • Hired and guided the professional development of an office assistant
Unfortunately, due to the impact of Covid-19 the decision was made to close the office in July 2020. This prompted me to undertake my Master’s degree in Data Science.

Export Manager

Bradford, UK
Jan 2010 - Dec 2016

DB Orthodontics Ltd

Prior to running DB Orthodontics, Inc., I held the position of Export Manager for DB Orthodontics Ltd in the UK. Key achievements include:

  • Directed all overseas sales activity, with full responsibility for departmental budgets, training and development of staff, and coordination of export activities
  • Recruited and managed a 3-person team and closely collaborated with production and marketing departments
  • Met and exceeded targets year-on-year, increasing sales by over 560%
  • Established strong relationships with new distributors in 52 different countries
  • Composed three successful bids for government funding, receiving over £20,000
  • Received Employee of the Year Award, Sales Performance Award (twice) and Attendance Award (8 years consecutively)

Export Assistant

Bradford, UK
Dec 2005 - Dec 2009

DB Orthodontics Ltd

I was initially employed by DB Orthodontics in a part-time role during university holidays. Upon graduation I was offered a full-time role as Export Assistant, during which I was successful in increasing sales four years running through strong customer engagement and relationship building.

Certifications

These are some of the certificates and awards I have received throughout my professional and academic experience.

Data Science Professional Certificate

IBM (via Coursera), October 2020

SQL Basics for Data Science Specialization

University of California, Davis (via Coursera), October 2021

SQL (Intermediate) Certificate

HackerRank, November 2021

Mathematics for Machine Learning

Imperial College London (via Coursera), September 2020

Neural Networks and Deep Learning

DeepLearning.AI (via Coursera), June 2021

How Google does Machine Learning

Google Cloud (via Coursera), July 2021

AWARDS

Employee of the Year

Dec 2015

DB Orthodontics Ltd

Awarded due to exceptional performance and outstanding teamwork, contributing significantly to the overall aims and strategy of the company.

Advanced Criminal Litigation Prize

Aug 2015

New Park Court

I received this prize after achieving the highest score in the Advanced Criminal Litigation Module (85%) on BPP University’s Bar Professional Training Course

Sales Performance of the Year Award

Dec 2013

DB Orthodontics Ltd

Awarded due to excellent performance in generating new business and building strong client relationships.

Exhibition Award

Jun 2013

Honourable Society of the Inner Temple

I was awarded the scholarship of £10,000 in order to fund the Bar Professional Training Course. The scholarship was awarded to me on merit after the judging committee assessed me as having high potential to succeed at the Bar.

Queens Award For Enterprise In International Trade

Apr 2013

Her Majesty The Queen, on the advice of the Prime Minister

DB Orthodontics was awarded the Queen's Award for outstanding achievement in International Trade. As Export Manager I was responsible for an increase in export turnover of over 130% during the three-year period upon which the award was made.

Sales Performance of the Year Award

Dec 2011

DB Orthodontics Ltd

Awarded due to excellent performance in generating new business and building strong client relationships.

Contact

Got a project in mind?
Interested in working together?
I'd love to connect.

Where to find me

Leeds, UK

Email Me At

jrlee_85@hotmail.com

Connect With Me At

linkedin.com/in/jameslee2021