Jon Howells, Natural Language Processing (NLP) Developer in London, United Kingdom
Jon Howells

Natural Language Processing (NLP) Developer in London, United Kingdom

Member since March 24, 2020
Jon has been the lead data scientist one of the world's largest technology consultancies for several years, with experience managing large data science and engineering teams, and developing data strategies and product roadmaps. He has a strong leadership and communication style, and a solid academic and technical background, with an MSc in Machine Learning from University College London. He has led large, complex engagements across the education, consumer goods, retail, and public sectors.
Jon is now available for hire

Portfolio

  • Capgemini
    SQL Functions, Tableau, Amazon Web Services (AWS), Dataiku, AWS, Azure, Git...
  • Capgemini
    Python, Machine Learning, Artificial Intelligence (AI)...
  • KPMG
    SQL Functions, Tableau, SQL, Python

Experience

Location

London, United Kingdom

Availability

Full-time

Preferred Environment

Amazon Web Services (AWS), Python, Team Leadership, Artificial Intelligence (AI), Agile, Natural Language Processing (NLP), PyTorch

The most amazing...

...thing I've done is lead a large team of data scientists, engineers, business analysts and testers, to develop production AI solutions used in over 20 countries.

Employment

  • Lead Data Scientist

    2016 - PRESENT
    Capgemini
    • Managed a large data science and engineering team at a global consumer goods company. The team built AI solutions to understand consumer feedback and identify trends from product reviews, social media, and consumer complaints data.
    • Set up two new data analytics teams in India, Poland, and Mexico from scratch with over 40 employees. Involving recruitment, training, and onboarding of these teams.
    • Worked with several clients to develop their data strategies and product roadmaps and carry out data science maturity assessments.
    • Led a team to develop a machine learning solution for a large Government department to prioritize and streamline complex visa applications, saving the department time, effort and money by reducing the strain on the case-working process.
    • Led the development of a new solution to monitor emerging consumer trends across multiple geographies, utilizing natural language processing and time series modeling techniques.
    • Set up a global data science community at a multinational client with over 30 analysts across ten different countries.
    • Delivered a forecasting project for one of the largest fast-food restaurants in the world. Forecasting menu item sales across all restaurants in the United States. Using univariate and multivariate time series models including ARIMA and AR-Net.
    Technologies: SQL Functions, Tableau, Amazon Web Services (AWS), Dataiku, AWS, Azure, Git, Docker, Scikit-learn, SQL, Python, Data Science Studio, PCI DSS
  • Senior Data Scientist

    2016 - 2019
    Capgemini
    • Led the development of a public relations alerting system using natural language processing and time series analysis techniques to alert the leadership for some of the world's largest consumer brands.
    • Managed team-building, industrialized NLP tools for hundreds of users at a large consumer brand company.
    • Supervised a team developing data science reports and dashboards to respond to market research briefs, using social, search, and eCommerce reviews data.
    Technologies: Python, Machine Learning, Artificial Intelligence (AI), Natural Language Processing (NLP)
  • Data Analytics Consultant

    2014 - 2016
    KPMG
    • Led team building statistical models in Python and R for a UK retail bank covering pricing optimization, customer churn, customer cross-sell, and financial investigations.
    • Analyzed interest rate swaps data and contracts as part of an investigation into LIBOR fixing.
    • Worked with KTrace, a forensic data analysis methodology used to detect anomalies in data known to indicate potential fraud and misconduct.
    • Analyzed security transactions via the stock exchange daily official list (SEDOL) numbers to identify indirect tax savings.
    • Reviewed SQL data warehousing solutions to identify customers affected by mortgage overpayment, mortgage underpayment, and deceased customers.
    • Worked with the National Health Service regulating body Monitor to assess models on patient service costs.
    Technologies: SQL Functions, Tableau, SQL, Python
  • Data Scientist

    2014 - 2014
    Rightmove
    • Developed machine learning models to predict new property sales using a range of internal and external data for a SaaS company in the proptech sector. The company was acquired by the UK's largest property website RightMove.
    • Created a web application presenting custom analytics around employee health tracking.
    • Analyzed a large client email database for a real estate company using natural language processing.
    Technologies: SaaS, SQL Functions, NLTK, Scikit-learn, Python

Experience

  • COVID.txt
    https://github.com/jonhowellsAI/covid-txt

    A Dash application to explore the COVID-19 open research dataset (CORD-19) using natural language processing.
    Deployed as a Dash app using Docker on AWS Elastic Container Service (ECS) using AWS FARGATE.

  • Consumer Trends Monitoring

    Led a team to develop and deploy a solution to identify consumer trends for one of the largest consumer goods companies.

    The data product harnessed social data and search data using natural language processing and time series analysis to identify emerging consumer trends.

    The solution covered multiple geographies and languages, including the US, UK, Japan, Brazil, Argentina, Thailand, and South Africa, alongside multiple verticals, including personal care, foods and refreshments, and home care.

    This was used to inform new product development and product enhancement. As a result of the insights, a number of new products were developed or enhanced for some of the largest consumer goods brands (e.g., Dove, Magnum, Ben & Jerry's).

  • Public Relations Alert System

    Led the development of a PR alert system for one of the world's largest consumer goods companies, Unilever. This involved developing a flow in Dataiku DSS to ingest social media, news, and reviews data, then use natural language processing and time series analysis techniques to detect negative sentiment changes towards the companies' brands or topics that the company wanted to track, such as sustainability. When PR issues were detected, the system alerted relevant leadership via Twilio so that they could coordinate a response.

Skills

  • Languages

    Python 3, SQL, R, Python, Snowflake
  • Libraries/APIs

    Pandas, SciPy, PyTorch, TensorFlow, Scikit-learn, NumPy, PySpark, Spark ML, SpaCy, NLTK, Keras
  • Tools

    Tableau, Power Query, Jira, Microsoft Power BI, Git
  • Paradigms

    Data Science, Agile
  • Platforms

    Dataiku, Kubernetes, Google Cloud Platform (GCP), Amazon Web Services (AWS), Twilio, Azure, Docker
  • Storage

    PostgreSQL, SQL Functions
  • Other

    Data, Big Data, Data Science Studio, Text Analytics, Data Preprocessing, Forecasting, Modeling, Data Analysis, Regression Modeling, Statistical Analysis, Consumer Products, Data Visualization, Analytics, Leadership, Planning, Artificial Intelligence (AI), Natural Language Processing (NLP), SaaS, CTO, Team Leadership, Solution Architecture, Custom BERT, Machine Learning, Statistics, Computer Vision, Statistical Modeling, DAX, Predictive Analytics, Recommendation Systems, AWS, Computational Statistics, Physics
  • Frameworks

    Flask
  • Industry Expertise

    Project Management

Education

  • Master of Science Degree in Computational Statistics and Machine Learning
    2013 - 2014
    University College London - London, UK
  • Master of Science Degree in Physics
    2009 - 2013
    Imperial College London - London, UK

Certifications

  • Natural Language Processing Specialisation
    DECEMBER 2020 - PRESENT
    deeplearning.ai
  • AWS Machine Learning Specialisation
    SEPTEMBER 2020 - PRESENT
    Amazon Web Services
  • AWS Certified Cloud Practitioner
    SEPTEMBER 2020 - PRESENT
    Amazon Web Services
  • Dataiku Certification
    JULY 2019 - PRESENT
    Dataiku

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