Data-driven business transformation

Turning operational data
into business decisions.

I'm Amal Krishna, a Business Analyst in energy trading operations. This lab breaks down real business problems — counterparty onboarding, KPI design, reporting automation, systems migration — using the same six-step method every time: understand, explore, diagnose, measure, recommend, and quantify the impact.

Amal Krishna
Case Studies
// FROM RWE SUPPLY & TRADING AND EMTERIA

→ See all four case studies

About the Lab
// WHY THIS EXISTS

Most portfolios show finished dashboards. This one shows the whole path to get there — starting from a business question, not a chart. Every case study follows the same structure: business context, stakeholders, the process as it actually works, data understanding, root cause analysis, KPI design, recommendations, and a business case.

I work full-time as a Business Analyst at RWE Supply & Trading in Essen, Germany, focused on counterparty onboarding, master data, and KPI reporting. The case studies here are drawn from that work and from my time at Emteria — real projects, not simulated ones.

Current roleBusiness Analyst
EmployerRWE Supply & Trading
Based inEssen, Germany
Core stackSQL · Power BI · Jira · Endur
The Method
// SIX STEPS, EVERY TIME
1
Understand the Business
Who's affected, what decision is at stake.
2
Explore the Data
Shape, quality, gaps, and what's actually measurable.
3
Identify Root Causes
Not just what's wrong — why it's happening.
4
Design KPIs
Metrics that would actually change a decision.
5
Recommend Improvements
Specific, prioritized, and ownable by someone.
6
Estimate Business Impact
A defensible, assumption-labeled number.