Took a much-needed break to be a dad, indulge in hobbies, travel, volunteer, and pursue a few fun AI side projects.

Recharge is an e-commerce subscription platform trusted by leading DTC brands to process more than $20 billion in revenue.The Data Engineering team is responsible for building and maintaining core data models and tools that empower the entire organization. Stack includes DBT, Airflow, Snowflake and Fivetran.

Ripple provides one frictionless experience to send money globally using the power of blockchain technology. Ripple’s enterprise-grade solutions are faster, more transparent, and more cost-effective than traditional financial services. Our customers use these solutions to source crypto, facilitate instant payments, empower their treasury, engage new audiences, lower capital requirements, and drive new revenue.I lead Ripple's Data Analytics, Science and Analytics Engineering Team, focused on Products and People. I had the immense privilege of starting and growing these function from scratch, going from a team of 1 to a team of 15. The team worked hand-in-hand with Product Management to ensure that product decisions are driven by data. Our charter was to continually enhance customers' experience on our products through rigorous analysis/visualization of data (OLTP, real-time events, Salesforce, etc), and to enable broader company-wide insights through standardized & curated data marts. We built on a modern data stack which includes Google Cloud Platform (GCP), BigQuery, HDFS, Impala, DBT, Fivetran, Tableau, Airflow, Python / Jupyter, GitLab

Interim Head of Data Engineering until October 2021

Designed and built data marts powering high-impact data science initiatives including underwriting model performance, loan cohort analysis, delinquency / charge off modeling, and customer funnel optimization.Optimized customer funnel, borrower underwriting, and other processes through analysis of product data.

Prosper's team lead for investor-side product and business analytics. Lead and executed vision for long-term scalable analytics supporting the Capital Markets team, and cross-functional projects with Product, Risk and Business Operations teams.--Examples: analyzed and optimized retail customer acquisition & engagement, tracked feature adoption, built interactive Tableau dashboards visualizing the customer funnel, etc.

First data analyst in Capital Markets team. Designed and built investor-side reporting and analytics framework from the ground up as an early employee. Spearheaded efforts to create dashboard suite, define & track top line & secondary metrics for loan investor side of business.

Advised corporate clients through complex business matters such as class action lawsuits and intellectual property disputes.Utilized SQL, Visual Basic, and other tools to perform analyses on large datasets from transactional, human resource, financial, and other types of databases. Experience includes calculating damages for cases involving over $100 million, investigating hiring practices, and auditing the effectiveness of business rules.Derived actionable insights from data by transforming analysis results into reports, exhibits, and other deliverables that can be easily understood by legal counsels, jury members, and other non-technical persons.Actively manage teams of 3-5 consultants on larger engagements.

Hired as an analyst after successfully completing summer internship; worked part time during senior year of college.