Resume for Michelle Bonat

LEADER | DATA AND AI | PRODUCT ENGINEER

Background

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Skills

  • Business: Exec leadership, financial services domain, innovation, collaboration, global scale software, blockchain, crypto
  • AI, Machine Learning & Data Science: TensorFlow, Keras, Scikit-learn, Pandas, Numpy, Matplotlib
  • Techniques: Deep learning, Time series analysis, Statistical analysis, Real-time ETL data pipelines
  • Languages: Python, Ruby, Java (Java as a manager)
  • Front End: Html, CSS, Javascript, JQuery, Ajax
  • Tools: SQL, APIs, Node.js, Angular, Twilio, SendGrid
  • Databases: PostgreSQL, Oracle, Redis
  • Cloud Services: AWS, Google Cloud, Heroku
  • Misc: Open source contributor, coding teacher.

Experience

  • Data Simply, Inc., 2016 - present
  • CEO / Co-Founder / Data Scientist, Palo Alto, CA

  • Co-built automated SaaS platform and data products creating personalized investing signals from text in company SEC disclosures using data science
  • Drive product vision, strategy and roadmap
  • Delivering 100MM+ real-time automated insights for financial sentiment and sustainable investing (ESG)
  • Deployed ETL data pipelines at scale: improved data quality 59%, with 83% faster processing, and 99% automation
  • Run the business; raised funding; closed partnership with industry leader for full integration into their platform.

  • Insight Data Science, September - November 2018
  • AI Engineering Fellow, San Francisco, CA

  • Selective program to build applied AI systems with group collaboration
  • Built Ethereum funds flow predictor as consulting project achieving 98% precision
  • Created pipeline using blockchain, custom datasets, and machine learning (Logistic Regression, Random Forest, GridSearchCV, Sequential)
  • Applied Deep Learning to new $200BN Crypto asset class.

  • Ariba & Startups - Director, Product Management, 2004 - 2015
  • Silicon Valley, CA

  • Software product leader at three acquired companies
  • Defined and rolled out company-wide product roadmap
  • Drove successful Asia launch of world's largest B2B marketplace
  • Led 12 PM teams for product conception through launch and multiple iterations, user types, and delivery methods.

  • Oracle Corp - Group Manager - Financial Applications Engineering, 1997 - 2004
  • Redwood Shores, CA

  • Led Financial web application development engineering and PM team of 40 building, testing, and maintaining large-scale software systems
  • Innovative approaches raised flagship iExpenses to market leader
  • Introduced agile for 6X faster to market for $50MM revenue stream
  • Led customer adoption program to 100% referenceability.

  • BMO - Financial Quant, 1995 - 1997
  • Chicago, IL

  • Created cash-flow based financial models to analyze banking transactions
  • Spearheaded development of new complex derivatives product.

Education

  • Bloc Code School
  • 5 month full stack engineering bootcamp.

  • Kellogg School, Northwestern University
  • MBA, Finance

  • Northwestern University
  • BA, English

Volunteer and Open Source

  • FinTech Sandbox, 2014 - Present
  • Contribute open source code to facilitate the quick and effective adoption of a variety of financial data services.

  • Railsbridge 2017 - Present
  • Work as a volunteer to help teach coding to under-represented groups.

  • OS4W 2017
  • Contribute code to platform that helps women work on more open source coding projects.