Aman PareekFront-End Engineer II
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Field report

Uber · Front-End Engineer II Confidential

Ads Forecasting & Audience Estimates

Interactive forecasting and audience-estimation workflows for campaign planning.

Problem
Campaign teams needed reliable audience and forecast feedback while configuring ads.
Constraint
High-volume campaign datasets and shared Ads APIs, shown without exposing internal systems.
Decision
Modeled a configuration-to-visualization flow with reusable Ads UI primitives.
Trade-off
Prioritized interactive estimates over exhaustive raw-data dumps.
Result
Faster campaign configuration with clearer audience feedback.
System flow
  1. Campaign Configuration
  2. Forecast Request
  3. Audience Estimates
  4. Interactive Visualization

Approach

  • Building forecasting and audience-estimation workflows for Uber Ads Manager using React and TypeScript.
  • Creating reusable UI components and design patterns shared across Ads modules.
  • Improving dashboard responsiveness and rendering for high-volume campaign datasets.

Tech

React · TypeScript · Design Systems · Performance