Business Analyst – Tech & AI candidate · McKinsey & Company

I solve the business problem behind the technology.

A technical foundation — B.S. in Information Technology, M.S. Business Analytics in progress — applied across five consulting and transformation roles at PwC, Bain, Ankura and a SaaS startup, from SAP S/4HANA programs to responsible AI workflows.

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Why McKinsey

I'm a first-generation college graduate, and I've been underestimated most of my life. That taught me to let the work speak.

I go after the hardest problem in the room, structure it until it's solvable, and push past the obvious answer to something new. McKinsey is where that kind of problem solving carries the most weight, and where the standard is set by the work, not by where you started. That's the standard I've held myself to, and it's the team I want to build my career with.

Impact at a glance

Workstreams structured in an SAP S/4HANA transformation at PwC

$2M+

Projected savings in an Excel business case built at PwC START

Top 2

Ranking among 2,500+ participants for analytical rigor and strategic clarity

15%

Improvement in a targeted client KPI tied to a Bain recommendation

30%

Fewer recurring customer issues after a SaaS workflow redesign

Selected case studies

Technology and AI work first, each told the way a McKinsey team would: the situation, how I structured it, and what changed. Client names withheld.

01 · Technology transformation

Steering a six-workstream SAP program to go-live

PwC · Cloud SAP Technology Intern · 2026

Situation

An enterprise transformation spanning 6 workstreams and 3–4 applications, with go-live risk building.

Approach

Ran workshops and interviews to isolate root causes; mapped current and future-state workflows; prioritized actions by impact, feasibility and risk.

Impact

Executive dashboards and roadmaps that aligned business and technical leaders on owners, timelines and resolution plans.

Exhibit 1 · Prioritizing actions across six workstreams

High impact Low impact

Plan carefully

W1W4

Act first

W2W5

Monitor

Quick fixes

Lower feasibilityHigher feasibility

Illustrative — workstream positions anonymized; go-live risk set the order within each quadrant. 6 workstreams · 3–4 applications

02 · Responsible AI

Designing a human-in-the-loop AI support workflow

Florida State University · Analytics project · 2026

Situation

Slow customer-support triage, with privacy and escalation controls that couldn't be compromised.

Approach

Mapped the end-to-end journey and recurring issue themes; prototyped in Python, SQL and Power BI.

Impact

An executive recommendation covering process redesign, governance risks, adoption measures and a test plan.

Exhibit 2 · Human-in-the-loop triage workflow

Ticket arrives

AI tags
theme & urgency

Guardrail check
confidence & privacy

Clear case — routed to the right queue

Sensitive or uncertain — a person reviews

Resolved
logged to improve triage

Simplified view of the Python, SQL and Power BI prototype. Faster triage, judgment kept with people

03 · Growth diagnostic

Finding the drivers behind a stalled growth agenda

Bain & Company · Associate Consultant Intern · 2025

Situation

A client growth and transformation challenge with unclear underlying performance drivers.

Approach

Tested hypotheses with interviews, market research, operational data and technology constraints; built an Excel, SQL and Power BI diagnostic with scenario and sensitivity runs.

Impact

An executive recommendation associated with a 15% improvement in the targeted KPI.

Exhibit 3 · Hypothesis tree used to structure the diagnostic

Why is growth below target?

Market & demand

Is customer demand shifting?

Are competitors taking share?

Operations

Where is capacity constrained?

Which processes leak value?

Technology & data

Do systems limit scale?

Is performance visible to leaders?

Illustrative structure — each branch tested with interviews, research and operational data. Outcome: 15% improvement in targeted KPI

04 · Operations strategy

Building a $2M+ case for a new operating model

PwC · START Intern · Summer 2025

Situation

An ambiguous operating challenge with no clear owner or defined problem statement.

Approach

Framed the core question, then analyzed financial, process and market data to size workflow and operating-model levers in Excel.

Impact

$2M+ in projected savings; presented to executives and ranked Top 2 of 2,500+.

Exhibit 4 · From current cost base to future state

− savings

Current cost base

Workflow redesign

Operating-model change

Future-state cost base

Illustrative — rebuilt without client data; bar heights not to scale. Combined levers: $2M+ projected savings

05 · Product & implementation

Owning a SaaS launch from discovery to adoption

Vault Technologies (startup) · Project Manager · 2024

Situation

A startup rollout with recurring customer issues and limited visibility after launch.

Approach

Led discovery through configuration, testing, training and launch; used platform data and customer feedback to redesign workflows and escalation paths.

Impact

30% fewer recurring issues, with stronger follow-through and post-launch adoption.

Exhibit 5 · Recurring customer issues, indexed

Before redesign

100

After redesign

Pre-redesign volume set to 100. Levers: redesigned workflows and escalation paths. −30% recurring issues

What I bring to a Tech & AI team

Technical problem solving

Hypothesis-driven structuring backed by hands-on depth in SQL, Python, Power BI and SAP S/4HANA.

Personal impact

Executive presentations, workshops and interviews that translate technical detail into decisions business leaders can make.

Leadership

Led 6 tech and responsible-AI programs for 100+ students with Girls Who Code and HerUniversity; 10+ volunteers, 40% higher participation.

Entrepreneurial drive

Owned a SaaS launch end to end; McKinsey.org Forward Program and AWS Certified Cloud Practitioner; blue belt in Taekwondo.

Toolkit & education

Data & AI

Python · SQL · Power BI · Tableau · Excel · Generative AI · AWS Cloud Practitioner

Enterprise & delivery

SAP S/4HANA · Ariba · SuccessFactors · Visio · Draw.io · Jira · PowerPoint

Education

M.S. Business Analytics, Florida State University (Jan '27)
B.S. Information Technology, Florida A&M University — 3.6 GPA, Dean's List ×3