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

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

Member since September 14, 2019
Riccardo has developed numerous machine learning solutions for large-scale enterprises and governments across the world. He has extensive expertise with time series data and forecasting, having developed a demand forecasting system for a UK retailer with over 100 stores. Riccardo also has advanced skills in Natural Language Processing; for example, he developed a system to match work descriptions and candidate profiles for a national government.
Riccardo is now available for hire

Portfolio

  • Satalia
    Python, Keras, TensorFlow, Google Cloud Platform, Optimization
  • PigeonLine
    Python, Django, JavaScript, Vue.js, PostgreSQL, SQL, Docker, Spacy

Experience

  • Python, 4 years
  • Data Science, 4 years
  • Natural Language Processing (NLP), 3 years
  • Keras, 2 years
  • Time Series, 2 years
  • Django, 2 years
  • Swift, 1 year
  • Fast.ai, 1 year

Location

London, United Kingdom

Availability

Part-time

Preferred Environment

Linux, Unix, macOS

The most amazing...

...project I've developed was a data science infrastructure (front end, back end, machine learning algorithms, and deployment) for a government analytics startup.

Employment

  • Data Scientist

    2017 - PRESENT
    Satalia
    • Built a convolutional neural network that predicts spatio-temporal grocery deliveries demand. This improved the performance of a last-mile delivery optimization algorithm and enabled businesses to dynamically price deliveries based on the forecasted cost.
    • Conducted various consultancy workshops to assess technological needs and facilitate the adoption of artificial intelligence solutions in industries such as finance and retail.
    • Researched and developed a proof-of-concept algorithm to determine the best solver algorithm for a given optimization problem to be embedded as a machine learning layer of on-demand optimization software. My research focused on computer science problems known as Automatic Algorithm Selection and Configuration.
    • Produced three machine learning models for a large UK retailer: Recurrent neural network to predict daily demand, dense network to predict the hourly distribution of daily demand, and an optimization model to recommend hourly workforce allocation. This enabled the retailer to forecast hourly demand with 80% accuracy.
    Technologies: Python, Keras, TensorFlow, Google Cloud Platform, Optimization
  • Founding CTO

    2016 - 2019
    PigeonLine
    • Constructed the company’s technical foundations, which involved architecting and deploying machine learning algorithms, back-end APIs, front-end interfaces, and the server infrastructure. To achieve this, I jointly managed a team of four developers.
    • Developed an interactive topic analysis web application using neural word embeddings.
    • Designed and delivered an introductory course on AI and Social Sciences for the London School of Economics. It used our interactive topic analysis tool to teach students how Natural Language Processing can aid Social Science research.
    • Produced in collaboration with the New York University of Abu Dhabi, a tool to fetch, parse and organize over 700GB of data (including PDF attachments) from the US regulations API to study citizen sentiment and predict public unrest.
    • Raised $1 million, alongside the CFO and CEO to finance business expansion, technical development, and product growth.
    • Researched, developed, and deployed an NLP matching algorithm that automatically sourced the most suitable civil servants for new government projects for a Prime Minister’s office in the Gulf Region.
    • Won the 2018 LSE Entrepreneur-of-the-Year Award and Distinguished Alumni of Dubai Future Accelerator.
    Technologies: Python, Django, JavaScript, Vue.js, PostgreSQL, SQL, Docker, Spacy

Experience

Skills

  • Languages

    Python, JavaScript, Swift
  • Paradigms

    Data Science
  • Other

    Communication, Project Scoping, Facilitation, Machine Learning, Natural Language Processing (NLP), Time Series, Forecasting
  • Frameworks

    Django, Flask
  • Libraries/APIs

    Keras, Fast.ai, TensorFlow
  • Storage

    PostgreSQL

Education

  • Master of Science degree in Decision Science and Operational Research
    2016 - 2017
    London School of Economics - London, UK
  • Bachelor's degree in Economics and Statistics
    2012 - 2015
    Bocconi University - Milan, Italy
Certifications
  • Deep Learning, 5-course Specialization
    JUNE 2019 - PRESENT
    Coursera
  • HSK 5 (Chinese Language)
    MAY 2015 - PRESENT
    Confucius Institute

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