Adara provides programmatic media measurement and targeting solutions to clients in the travel and tourism industry. The data science team produces machine learning-optimized programmatic audiences & revenue-generating analytics for Adara clients.* Slashed ML model development time from 10 days to 4, by initiating MLOps operational model via Kubeflow-based machine learning platform in Google Vertex AI.* Scaled analytics profitability, increasing analytics revenue by 92% revenue while cutting per-report cost by 95%, by directing analytics output model towards productized solutions & away from bespoke report production.* Managed data science product roadmap, coordinating with sales, engineering, product, and executive teams.* Developed infrastructure for productized client analytics on Google Cloud, using tools such as BigQuery, Airflow, Looker, and DBT.* Guided restructuring of 3 distinct teams into 1 with headcount reduction of 60%, without major disruption in output.* Increased the scale of Adara's audience data in Europe and Asia by 50%, by devising a location data service to upgrade quality of geographic data.

Infosys Consulting provides management & IT consulting services. Designed a comprehensive modeling platform for a data science center of excellence within a multinational manufacturing company.Slashed data transformation processing cost by 75% for a sizable asset management firm, by migrating workflows to Spark, and condensing the number of steps from 20 to 3.

North Analytics was an analytics & machine learning consulting firm, eventually acquired by Impendi.Executed revenue-enhancing pricing strategies for a toll road operator which grew revenue by 8%, by implementing experiments to identify successful pricing incentives for key customer segments.Improved revenue prediction model for an international supermarket chain, diminishing error rate from 110% to 25%.

My role was to support the data & analytics needs for AIG's Latin America personal lines of insurance business, managing a team of 2 specialists.* Cut reporting costs for actuaries by 70%, by developing new data & analytics infrastructure integrating multiple sources of messy data.

• Conducted business analysis to deploy data warehouse for mortgage loans in foreclosure and bankruptcy for Bayview Asset Management.

FINCA is an international microfinance nonprofit organization, providing lending services to historically excluded populations. My role was to execute qualitative and quantitative research to support client-focused products and services for FINCA's Latin American subsidiaries.* Improved client retention by identifying and addressing pain points in the customer journey with the organization.* Enacted cloud-based mobile phone-based survey data collection technology for all FINCA operations globally, to support surveys on organization performance and client satisfaction.* Initiated knowledge management wiki curating research tools, client & competitive analysis, and internal intelligence.* Successfully built and managed a team of marketing managers in seven Latin America subsidiaries of FINCA

Fidessa LatentZero is a technology firm providing trading & portfolio analysis solutions to the global asset management industry. My role was to consult with global clients to gather requirements and implement solutions for customer data integration.* Successfully created a best-practice configuration for fixed income analytics, increasing international coverage by 40%, eliminating $25K cost per implementation, and resolving issues that previously could not be tackled by other consultants.* Specified the development of applications and mappings to integrate Bloomberg securities data feed into the product suite.

Reuters Data Operations provided securities data to financial services firms. My role was to support fixed income data for Latin America markets.* Proactively discovered several critical problems in new strategic database missed by experienced engineers, securing the availability and reliability of pricing data.* Led a team of employees that analyzed customer queries to resolve recurring problems, resulting in significant quality improvements in currency pricing data.