Théo Martin

Senior Machine Learning Engineer at Unifai
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Contact Information
us****@****om
(386) 825-5501
Location
Paris, Île-de-France, France, FR
Languages
  • Français Native or bilingual proficiency
  • Anglais Full professional proficiency
  • Chinese Elementary proficiency
  • Spanish Elementary proficiency

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Maëlle Taffou

During my time working with Théo at Amazon, he demonstrated high ownership and good communication skills. His ability to break down complex data science topics and simplify them makes him a very efficient problem solver. Théo always insists on the highest standard in his work and the work of his many mentees.

Juan Antonio Moya Martínez

Theo was an extraordinary mentor for me during my internship at Amazon. Thanks to his technical knowledge and his continuous guidance on the business and leadership values, he knows how to bring the best out of each person which helped me achieve all my goals down the road. It has been a pleasure working close to Theo.

Maria Savitskaya

Having worked in the same department for the past 6 months, Theo has always shown a great extent of leadership, resourcefulness and continuous willingness to help out. In spite of his technical background, Theo was highly comprehensive in teaching me databases, coding and data-analysis related material. His ability to debunk complex concepts was pivotal in my successful delivery of a bi-weekly automated report targeted to the leadership. Apart from the support offered, he was also ensuring that I benefit from the abundant network opportunities within the company to help me meet my professional aspirations. Theo is a great asset to any team he joins, as the team is sure to receive a qualified, driven and meticulous leader, as well as an easy-going, friendly, and collaborative colleague.

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Credentials

  • Machine Learning
    Coursera Course Certificates
    Jun, 2019
    - Nov, 2024
  • AWS Certified Solutions Architect - Professional
    Amazon Web Services
    Sep, 2018
    - Nov, 2024
  • AWS Certified SysOps Administrator - Associate
    Amazon Web Services
    Sep, 2018
    - Nov, 2024
  • AWS Certified Developer – Associate
    Amazon Web Services
    Jul, 2018
    - Nov, 2024
  • AWS Certified Solutions Architect - Associate
    Amazon Web Services
    Jul, 2018
    - Nov, 2024
  • Cambridge Advanced
    Cambridge Assessment
    Jan, 2019
    - Nov, 2024

Experience

    • France
    • Software Development
    • 1 - 100 Employee
    • Senior Machine Learning Engineer
      • Aug 2022 - Present

      Cracking machine learning problems to enhance retailers' product catalogs. • Training state of the art NLP models for tasks like NER, question answering, sequence classification, zero shot classification, summarization. • Researching and implementing state of the art multi models NLP pipelines to extract attributes from product descriptions and categorize products in a predefined hierarchy. • Building an MLOps framework capable of training automatically and efficiently serving hundreds of models. • Fine tuned, pipelined and prompt engineered LLMs like Llama or GPT3.5 Show less

    • Higher Education
    • 100 - 200 Employee
    • Visiting Lecturer
      • Feb 2023 - Apr 2023

      I shared my expertise in big data, machine learning, and related technologies with Master students. In my lectures, I offered an in-depth exploration of the industry, discussing various roles, collaboration dynamics, experience levels, and tools used. I highlighted the latest advancements in NLP, particularly LLMs (Large Language Models). I delved into the inner workings of Transformers-based models, specifically GPT and chatGPT, and their attention mechanism. I also explored the promising future of AI in this domain, considering potential breakthroughs and associated risks. I provided hands-on guidance and assistance for their machine learning projects, involving computer vision and NLP models. Show less

    • United States
    • Software Development
    • 700 & Above Employee
    • Data Scientist II
      • Sep 2020 - Sep 2022

      Only data scientist in Amazon's EU Pricing team (10 people total, product managers and BIEs)• Spearheading efforts to reduce price volatility, resulting in a 25% decrease within the first year. I leveraged my expertise in statistical methods and distributed architecture to analyze price changes of 100M+ products over a 5-year period, identifying key drivers of volatility and working closely with stakeholders across the US and EU to develop and test strategies to mitigate its impact on profitability. These programs involved cross-functional collaboration with teams in customer support, category management, software engineering, and more.• Designing and executing A/B tests to estimate the financial impact of price strategy changes, leading to more informed pricing decisions and the avoidance of multiple programs that were initially thought to be profitable but turned out to be money-wasters. It also allowed highly profitable projects relative to competitor monitoring, pricing strategies designed in the absence of competitors, and abusive customer returns, among others, to get pushed above the line.• Working with science teams on a bayesian model of price elasticity, providing business teams worldwide with accurate estimates (and uncertainty) of the financial impact of pricing decisions and helping senior leaders replace emotional debates by data driven decision making. Show less

    • Data Scientist
      • Feb 2019 - Sep 2020

      As a Member of the EU Pricing team, I played a key role in driving business growth and success. Some of my main responsibilities included:• Utilizing advanced statistical methods such as difference in differences, synthetic control, and propensity score matching to estimate and communicate the impact of 10+ pricing initiatives. This helped the team make informed decisions and optimize pricing strategies.• Analyzing massive datasets comprising over 20TB of data, including impressions, price changes, customer orders and returns, internal system events, and market prices, to detect pricing defects and identify opportunities for improvement.• Developing product embeddings using BERT and image embeddings to support successful negotiations with suppliers, driving greater value and increasing profitability.• Successfully implementing pricing strategy changes in production, leading to improved profitability and revenue growth.• Collaborating closely with cross-functional teams, including marketing, finance, vendor management, and science teams, to ensure successful execution of pricing strategies and initiatives.• Led training sessions for junior team members on data engineering, software engineering and statistical methods, helping to build a culture of data-driven decision making within the organization. Show less

    • United States
    • IT Services and IT Consulting
    • 700 & Above Employee
    • Solutions Architect
      • May 2018 - Sep 2018

      Supported startup in EMEA from helping them understand what AWS is to optimizing very mature architectures. • Partnered with sales department, engineering, business development and product teams. • Passed 4 AWS certifications: 3 Associate Certifications and the AWS Solutions Architect Professional. Supported startup in EMEA from helping them understand what AWS is to optimizing very mature architectures. • Partnered with sales department, engineering, business development and product teams. • Passed 4 AWS certifications: 3 Associate Certifications and the AWS Solutions Architect Professional.

    • United States
    • Software Development
    • 700 & Above Employee
    • Data Scientist
      • Sep 2017 - Mar 2018

      Member of the inventory placement team, part of the supply chain organization. • Improved an optimization model whose goal was to optimally place Amazon's inventory in the hundreds of warehouses in EU to have it closer to customers. • Worked on the visualization of its outputs on a Shiny (R package) dashboard. • Supported business decision making by analyzing 10TB+ datasets such as package shipments, financial estimates, customer orders and warehouse specific data, using SQL and Python. • Tackled placement related operational emergencies to minimize losses. Show less

  • Entrepreneur
    • Lyon Area, France
    • Advertisement Music Producer
      • 2015 - 2018

      Made music for web ads for Renault, Lancôme, Nissan and Meilleurs Ouvriers de France. Highly customer focused, requires to deliver precise and fast results corresponding to ambiguous requests. Made music for web ads for Renault, Lancôme, Nissan and Meilleurs Ouvriers de France. Highly customer focused, requires to deliver precise and fast results corresponding to ambiguous requests.

Education

  • CPE Lyon
    Master of Science - MS, Computer Science & Mathematics
    2015 - 2019
  • Institution des Chartreux
    Classe Préparatoire aux Grandes Ecoles, MPSI - MP (Mathematics & Physics)
    2013 - 2015

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