
I have over 25 years of experience in data science, both as an individual contributor and as a leader at the Director level and above. I am skilled at analyzing large datasets, extracting actionable insights, and developing innovative solutions to address business needs. I have expertise in statistical analysis, machine learning algorithms, forecasting, and automating processes to drive operational efficiency.
Develop and deploy data science infrastructure. Engagements have included:
N-Brain is a consulting company focused on data mining, visualization, analytics, and business applications related to monetization of data.
Engagements included:
Machine learning algorithms, including gradient tree boosting, Random Forests, Neural networks, Support Vector Machines, time series signal analysis
Design of Experiments (DOE)
Survival analysis, customer lifetime value modeling, churn modeling, clustering, segmentation analysis
Experienced in business intelligence, technology intelligence, competitive analysis
Management of data science and software teams ranging from 5-60 as well as globally-distributed teams
Expert at building and leading teams in early-stage and established companies
Agile software methodology (Scrum Alliance Certified Scrum Master)