Resume for Michelle Bonat

LEADER | DATA AND AI | PRODUCT ENGINEER

Background

See My Blog

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.