Isacar Racine

Analytics Leader

San Diego, California

Analytics leader with 10+ years driving operational and revenue optimization in the airline industry. I build and lead cross-functional teams that turn distributed data systems into executive decisions. I deliver multi-million-dollar savings, enterprise data warehouse transformations, and advanced modeling programs.

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Impact at a glance

: Years in analytics & data leadership
: On-time airline in Latin America, 2 years running
: Analytics projects
: Daily departures supported
: On-time performance driven by advanced analytics
: Data Heroes Challenge participants

Selected work

Data Heroes Challenge

The people closest to each process understand it better than anyone, and many of them wanted a way to work on it with data.

Created and led an internal competition where cross-functional teams of 2–3 build solutions to real process problems over 9 weeks, pitching to a judging panel. Winning projects can become prioritized company initiatives. 69+ participants, with an AI category added for 2026.

Data cultureProgram leadershipUpskilling

Cancellations Optimizer (Georgia Tech practicum)

The Boeing MAX grounding surfaced an opportunity: give planners a way to choose which flights to cancel in minutes rather than a full day, so options could be compared while the decision still mattered.

Built a five-module decision system (data integrator, Gurobi optimizer, parameter GUI, automatic constraint validator, and timeline visualizer) that solves shortages of up to 20 aircraft in under 20 minutes. Planners weight passengers, revenue, interline traffic, frequency and wingtip to benchmark scenarios before committing.

Mathematical optimizationGurobiPythonDecision support

Fuel & block-time optimization

Flight operations across 400+ daily departures needed a measurable way to cut cost without hurting reliability.

Led the optimization that delivered multi-million-dollar annual savings, while supporting the #1 on-time airline in Latin America for two consecutive years.

Operations analyticsOptimizationExecutive dashboards

Enterprise data warehouse transformation

Bringing revenue and pricing data together in one place was the fastest way to help teams act on it sooner.

Led the implementation that increased revenue by 1% and became the reporting backbone for decision-making across teams.

Data engineeringData warehouseRevenue

Schedule-change re-accommodation engine

Disrupted passengers needed faster, smarter rebooking during schedule changes.

Led development of the engine that improved NPS by more than 2 percentage points.

Product ownershipDecision systemsCustomer experience

Pricing automation & competitor fare monitoring

Automating competitor fare monitoring was a chance to let pricing strategy move at the speed of the market.

Built a $2.5M-valued pricing automation engine and advanced algorithms for automated competitor fare monitoring, plus 10+ in-house apps.

PythonAutomationPricing strategy

Forecast accuracy via causal inference

Revenue management needed sharper forecasts to target key markets with confidence.

Improved revenue management system forecast accuracy by 1% through causal inference projects.

Causal inferenceForecastingStatistics

Digital transformation program

Automating manual processes was an opportunity to free up analyst capacity across the organization.

Led a $1.6M digital transformation program and migrated 100+ data pipelines from manual processes to automated workflows.

Data pipelinesProgram leadershipAutomation