MP
Manny PatelBUSINESS ANALYST · AI & AUTOMATION · PROCESS TRANSFORMATION

BUSINESS ANALYSIS · PROCESS TRANSFORMATION · AI IMPLEMENTATION

I turn complex work
into practical change.

I turn stakeholder needs, processes and data into clear requirements, future-state workflows, UAT-ready delivery and practical AI implementation.
01Discover the process
02Define the future state
03Validate and prepare delivery
04Implement, embed and improve

THE DELIVERY APPROACH

From discovery
to implementation.

A structured business-analysis approach that turns the problem into a workable, adopted change.
01

Discover the process

Stakeholder conversations, current-state workflows, data, pain points and exceptions.

02

Define the future state

Clear requirements, business rules, target workflows and the right intervention.

03

Validate and prepare delivery

Stakeholder validation, acceptance criteria, UAT scenarios and release readiness.

04

Implement, embed and improve

Testing, guidance, handover and feedback that make the change work in practice.

OUTCOMEClearer, testable processes and working systems

PROFESSIONAL CASE STUDY

Business / Project Analyst · 2025–2026

UCD hourly paid transformation

Requirements, process analysis, UAT and phased implementation

A real transformation programme.
Delivered with the people who use it.

At University College Dublin, I supported a university-wide transformation of hourly-paid employment processes across HR Operations, Schools and system stakeholders. My work covered business and functional requirements, process analysis, historical data review, UAT, digital workflows, reporting, stakeholder engagement and phased implementation.

01

Evidence & requirements

Analysed historical workforce and payment data, then worked with Schools, HR Operations and programme leads to capture needs, pain points and exceptions.

02

Process & workflow design

Mapped current and target journeys, turning findings into clearer role guidance, website journeys and implementation-ready InfoHub workflows.

03

Validation & adoption

Supported UAT, defect retesting and phased go-live; created practical guidance and training to help HR and Schools use the new process.

CURRENT DEVELOPMENT · APPLIED AI IMPLEMENTATION

Developing applied AI
implementation skills.

Current hands-on development through the Outskill Generative AI Engineering Accelerator and independent product work—focused on how AI is designed, checked and used in real workflows.Outskill Generative AI Engineering Accelerator ↗
SKILLS IN DEVELOPMENT
01

Agent workflows

CrewAI · designing multi-step work with clear roles, tools and context passed between agents.

02

Research & retrieval

Exa · RAG · grounding answers in relevant sources instead of relying on unverified output.

03

Reliable outputs

Pydantic · structured data, validation, evaluation and guardrails that make results checkable.

04

Application layer

LangChain · MCP · tool calling, API integration and interfaces that fit a real workflow.