Things I love to do:
- 20 years of experience in Ad Tech, primarily in leading/senior Product Management roles.
- Experience working in all major columns of the Lumascape: DSP, SSP, Data Provider, and Publisher.
- Launched cutting-edge Machine Learning optimization algorithms for DSPs and SSPs.
- In-depth technical knowledge of Data Science and Machine Learning, grounded in experience and training:
- MSc Degree in Computer Engineering.
- Lean Six Sigma Blackbelt training with a heavy emphasis on Statistics.
- Data Science / ML programs by MIT and UC Berkeley.
- Experience creating intuitive user interfaces with a focus on anticipating various scenarios, error-proofing, streamlining, and automation.
- Agile Product Management expertise rooted in experience and training:
- The Professional Sequence in Agile Management by UC Berkeley.
- Certified Scrum Professional – Product Owner (CSP-PO)
Fun tools that I like to use:
- Demand Side Platforms (DSPs): Google DV360, MediaMath, AppNexus (Xandr), MGID, and Kaden.
- Exchanges & Supply Side Platforms (SSPs): OpenX, Google Ad Manager (fka AdX), MGID SSP.
- Data Management Platforms (DMPs) and data onboarding: Oracle Data Cloud (BlueKai), iBehavior Zipline, DoubleClick Data Platform (DDP), LiveRamp Connect, TransUnion TruAudience.
- Ad Servers: Google AdManager (fka DFP), Google Campaign Manager (fka DFA), Open AdStream, MediaPlex.
- Data Science/Machine Learning models built: Artificial Neural Networks (ANN), Convolutional Neural Networks (CNN), Linear Regression, Classification (CatBoost, Light GBM, XGBoost, Logistic Regression, & KNN), Recommendation Systems, Time Series (AR, MA, ARMA, ARIMA), Clustering & DR (K-Means, PCA), Bayesian Multi-Armed Bandit, & Contextual Bandits.
- ML Tools: Python, Jupyter Notebooks/Labs, Keras, TensorFlow, Google Colab, SciKit-Learn, SciPy.
- Product Backlog & Roadmap Management: Jira, Pivotal Tracker, ProductBoard.
Personal Interests:
- Cave diver and open water rescue SCUBA diver.