Step 01

Spreadsheets

Excel & Google Sheets

Excel Dashboard

Transforming messy raw data into clean, structured datasets using advanced formulas, Pivot Tables, and Power Query — the foundation of any reliable analytics pipeline.

XLOOKUP INDEX+MATCH Pivot Tables Power Query Data Cleaning EDA
Data Cleaning
Advanced Formulas
Power Query
Step 02

SQL

Structured Query Language · SQL Server

SQL Code

Writing complex queries — multi-table joins, CTEs, Window Functions (RANK, LEAD/LAG), and Stored Procedures — to extract, transform, and diagnose large-scale business data.

CTEs Window Functions Joins Stored Procedures Subqueries SQL Server
Query Writing
Window Functions
Stored Procedures
Step 03

Power BI

Business Intelligence & Data Storytelling

Developing executive-ready interactive dashboards with DAX measures, drill-throughs, and compelling data stories that turn raw numbers into decisive business action.

DAX Data Modeling Drill-through KPI Cards Slicers Relationships
DAX Formulas
Dashboard Design
Data Modeling
Storytelling
Power BI Dashboard
Step 04

Final Insights

Delivering Actionable Value to Stakeholders

Synthesizing outputs across all analytics stages into clear, strategic recommendations — bridging the gap between raw data and the business decisions that drive real growth.

Identify Patterns

Surface hidden trends across large datasets using statistical reasoning and domain context.

Communicate Clearly

Translate complex findings into concise, jargon-free narratives for non-technical stakeholders.

Drive Action

Deliver data-backed recommendations that are measurable, practical, and tied to business goals.