Player/Coach in a hybrid management role (including managing managers) and individual contributor on cross-functional teams. Hired and established analytics and data engineering roles in addition to expanding the data science team. After several rewarding years leading diverse, high-performing teams, I chose to temporarily step away from people management to immerse myself fully in refreshing my knowledge of current predictive analytics, machine learning, and AI tools. This period is an opportunity to deepen my expertise in areas that complement my leadership experience, allowing me to return to people management with fresh insights and enhanced skills to support my teams even more effectively in the future. Major Responsibilities:Implementing best practices for the management of data science and analytics operations with a keen focus on meeting and exceeding organizational goals; leader of multiple cross-functional goal-based teams (e.g. Growth, Engagement, Quality of Experience); leading the data science and analytics team in projects such as: providing economic forecasting and guidance for product pricing (conjoint analysis); facilitating the rollout of models by data scientists and engineers, including content recommender and experimentation systems; overseeing and leading multiple customer and market research projects from inception to completion, while ensuring delivery of projects within time and scope constraints; leading strategic migration to a modern data stack with modernization of data governance, anomaly detection, and data transformation processes.Keywords for search performance:Redshift, BigQuery, Data Warehousing, ETL, Segment, Airbyte, Rudderstack, Adverity, AppsFlyer, Avo, BigEye, dbt, AWS Glue, Apache Superset, Mode Analytics, AWS Sagemaker, Growthbook, Robyn, GeoLift, Marketing Mix Modeling (MMM), Multi-touch attribution (MTA), Return on Ad Spend (ROAS)

Board Advisor for Umergency, the emergency app for college families

In my position as Head of Data Science / Staff Data ScientistMajor Responsibilities:Directing product development for schedule analysis projects and translated academic research projects into a sellable District Scheduling Audit product; participating in board meetings to influence the company direction; establishing scheduling algorithms (Python, Ruby, SQL) and student scheduling equity metrics (Python, R, SQL) while ensuring compliance with individual district requirements.Key Accomplishments, I achieved during this role:• Co-authored winning grant application and designed / led research for a $2MM grant from Bill and Melinda Gates Foundation.• Improved student scheduling and management of millions of course requests by developing scheduling algorithms.• Produced majority of annual revenue by managing new product line and associated consulting.

In my position as Head of Data ScienceMajor Responsibilities:Devising robust plans to design and develop enterprise data warehouse, including development of Python libraries, AWS integration with Redshift, and incremental change detection in MongoDB while ensuring compliance with standard procedures; predicting replenishment needs for thousands of individual SKUs by creating and deploying a random forest model into production; establishing and deploying reinforcement learning model for dynamic display of products to customers to attain desired outcomes.Key Accomplishments, I achieved during this role:• Transitioned from losing money on a per order basis to having positive unit economics by developing and leading effective initiatives aimed at improving the contribution margin by more than $20 per order.• Reduced delivery costs 25% by introducing routing and vehicle packing improvements.• Increased routing and warehouse efficiency through strategic analysis, planning, and execution. (Python MCMC simulations)• Slashed products' shrinkage / loss to under 10% by developing product forecasting and replensihment models.

In my position as Head of Data Science / COO / Co-FounderMajor Responsibilities:Co-founder of CM3 Consulting and leading the company for 10 consecutive profitable years prior to sale to Fino Consulting. Providing proactive support, leadership, and guidance to cross-functional teams for the design and development of a cloud-based (Azure) distributed computing solution (Hive, Hadoop / HDInsight, C# .Net) for event processing and analysis (Tableau, SQL Server); creating and delivering training sessions for staff to augment overall performance and productivity; establishing and delivering software platform for the management of energy usage in an operating 300-bed hotel.Key Accomplishments, I achieved during this role:• Recognized for founding analytics consulting and software development firm with eventual sale to Fino Consulting.• Enhanced rotational ad delivery platform and order management system for a top 20 advertising network (PHP, R) by directing client's team of software developers.• Accomplished 956% 3-year revenue growth and recognition as the 41st fastest growing software company in the United States.

Neuroscience research: PET/MRI imaging of Alzheimer's Disease, Parkinson's Disease, Normal Aging, Diabetes, Eating Disorders and other mental illnesses, cognition, stroke, cancer.• Manage data analysts to ensure accuracy and timeliness in analyzing and reporting results of novel research studies. • Develop techniques for multivariate statistical analysis such as Partial Least Squares of MRI and PET neuroimaging studies. • Author manuscripts for peer-reviewed publications and presentation at scientific conferences. • Conduct statistical parametric mapping analyses, implement tracer kinetic models, assist in preparation of progress reports and media presentation. • Develop and maintain databases for tracking neuroimaging studies and transferring data between research centers.

Research in neuroscience, consumer retail behaviors, and statistics, data science, and machine learning algorithm development. Systems administration of distributed computing clusters.[ Center for Automated Learning and Discovery, renamed to Department of Machine Learning ]