The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
Back to feedPost
Over the past few weeks, I’ve been focused on building real-world solutions across Business Intelligence, Data Engineering, and Analytics.
Instead of working on basic datasets, I worked on practical use cases involving:
• performance analysis
• operational inefficiencies
• risk monitoring
• data pipeline development
The goal was simple — move beyond dashboards and build systems that actually support decision-making.
This included:
• structuring raw data into reliable datasets
• designing automated workflows using SQL
• developing interactive Power BI dashboards
• enabling real-time insights using DirectQuery
Each project was built with a strong focus on identifying gaps, improving processes, and delivering measurable insights.
All work is available here:
GitHub: https://github.com/mumairnawaz
Portfolio: https://contra.com/umairnawazbbb_ciss9n5j
I’m now open to collaborating on data-driven projects in analytics, reporting, and data engineering.
#DataAnalytics #PowerBI #SQL #BusinessIntelligence
github.com
mumairnawaz - Overview
Data & BI Consultant | Designing Analytics Systems for Business Decisions - mumairnawaz
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
Related posts
📊 Sales Performance Analytics Dashboard (Power BI)
This Power BI dashboard was developed as part of a technical case study to demonstrate a business‑first approach to performance analytics.
The report is designed to support both executive‑level decision‑making and operational sales management by focusing on:
Revenue performance tracking
Key performance drivers (Orders & Average Order Value)
Team‑level performance monitoring
Individual agent insights
Data quality validation and exception handling
🔎 Key Functional Areas
Executive Overview
Provides a high‑level summary of Net Revenue and its primary drivers, supported by a monthly trend and rolling average to identify emerging performance patterns and reduce short‑term volatility.
Performance Diagnostics (Region × Time)
Enables root‑cause analysis by highlighting when and where performance changes occurred across regions and time periods.
Sales Team Monitoring
Supports day‑to‑day management through ranked team performance metrics, enabling prioritization of coaching or follow‑up actions.
Agent‑Level Analysis
Offers a focused performance view per individual contributor, including category mix and territory‑level revenue drivers.
Data Quality Monitoring
Separates adjustments (e.g. returns, discounts) from gross performance to prevent misleading KPI interpretation.
💼 Business Value
Designed to:
Monitor operational performance
Identify revenue drivers behind month‑over‑month changes
Detect under‑ or over‑performing teams
Support targeted coaching
Enable fast, data‑driven decision‑making
🛠 Tools & Concepts Used
Power BI
Data Modeling (Fact / Dimension)
KPI Design
MoM Analysis
Driver‑Based Revenue Monitoring
AOV Tracking
Data Quality Checks
Great job
I conducted web research to collect publicly available company information and organized it into a structured spreadsheet.
The data includes company names, websites, email contacts, and locations.
This project demonstrates my ability to gather accurate information, verify sources, and present data in a clean and organized format.
Structuring web research into a clean spreadsheet with verified sources is more work than it looks — the accuracy check step is what separates useful data from noisy data. Company name, website, email and location is a solid base structure too. Do you usually work with a specific industry or take on any niche?
Superstore Sales Dashboard & Forecasting🙌
• Developed interactive dashboard analyzing 10,000+ transactions to track revenue and profit metrics.
• Performed trend analysis and 15-day forecasting, reducing manual reporting effort by 40%.
• Provided insights to improve inventory planning and sales monitoring.
Adding a 15-day forecast alongside the sales dashboard is a smart move — most dashboards only show what happened, not what's coming. The YoY monthly comparison view gives really clear context too. Did you build the forecasting model using Power BI's built-in analytics or a custom formula approach?
Trending
FLORA
Reusable workflows are replacing one-off prompts in creative AI. Share what you're building in FLORA.
portfolioreview
The best portfolios tell a story, not just show a grid. Share yours for feedback.
brandguidelines
Brand guidelines are becoming living systems. What are you building for your clients?
freelancerlife
Freelancer life is wins, pivots, and everything in between. What’s yours right now?
aivideo
AI video tools are moving at warp speed. Which ones are you experimenting with?