Role Profile

Analytics & Business Intelligence

Turning operational data into business decisions.

Looker • SQL • Excel • Power BI • Root Cause Analysis

Evidence, not keywords.

This page emphasizes the part of my background most relevant to analytics & business intelligence roles while keeping the same underlying career history and facts.

Portfolio concept

Operations Command Center

91.2%SLA
4:42Median TTFD
81.7%Auto Dispatch
84NPS

Synthetic portfolio data. Heatmap concept: demand, SLA misses, TTFD, panic rate, or provider coverage by geography.

Analytical workflow

From raw event data to executive action

Demonstrate data cleaning and Power Query, SQL/Looker exploration, Excel modeling, Power BI semantic modeling and DAX, then summarize the management decision—not just the chart.

SELECT market, partner_type,
  AVG(ttfd_minutes) AS avg_ttfd,
  AVG(auto_dispatch) AS auto_rate,
  AVG(sla_met) AS sla_rate
FROM service_events
GROUP BY market, partner_type;
Experience

Supervisor → Analyst → Manager

Progressive experience spanning frontline execution, analytics, account/partner management, and operational leadership.

Education

MBA + B.S. Business Administration

California State University, Los Angeles.

Approach

Data → decision → execution

Use operating data to identify the problem, understand business impact, take action, and measure the outcome.

Relevant problem? Let’s talk.

I’m interested in roles where analytical thinking and operational execution have to work together.

View Project 01 — AI Dispatch & Network Operations →

View Project 02 — Los Angeles Service Operations →

View Project 03 — EV Network Expansion Strategy →

View Project 04 — Executive Fleet Operating Review →