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Do you want to do something useful with your data, but aren't sure where to start?
Maybe your team rebuilds the same report by hand every week. Maybe your sales, orders and customer data are spread across five different spreadsheets. Or maybe you just want one dashboard that shows how the business is really doing.
That's the work I do. I'm Waqas, a Data Professional working across data engineering and analytics. Here's where I can help.
• Clean up messy data: duplicates, wrong formats and missing values in CSV, Excel or databases
• Build Python and SQL pipelines that bring data from different sources into one reliable database
• Automate repetitive reporting so it runs on its own
• Speed up slow SQL queries
• Build Power BI dashboards around the KPIs you actually care about
• Turn raw numbers into clear, simple reports
Day to day I work with high-volume banking data (1TB+) using Informatica, Spark and SQL. I've also built Power BI dashboards and API integrations for business teams. I bring the same care to small projects: every number checked, nothing silently lost.
If you have a data problem, big or small, send me a message and tell me about it. I'll reply with an honest view of what can be done.
My ETL pipeline and Power BI dashboard services are live on my profile, or we can scope something custom together.
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
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Developed a comprehensive, 10-page interactive Power BI Executive Dashboard for "Altitude Outfitters" (a multi-channel, multi-currency outdoor retail company operating across 8 countries). The goal was to transform 17 raw, messy tables (~146K order lines) into an automated decision-making tool for leadership.
Key Features & Technical Highlights:
• Data Cleaning & ETL (Power Query): Cleaned dirty data, handled missing values, removed duplicates, and standardized multi-format dates and currencies using custom M-code.
• Data Modeling: Designed a robust Star/Snowflake Schema resolving complex relationships and multi-granularity facts (daily marketing spend, weekly sessions, monthly targets, and order-level sales).
• Advanced DAX: Created 50+ measures including dynamic Currency Conversion (Local to USD + Constant Currency FX Impact), Time Intelligence (YTD, YoY), Contribution Margin Waterfall, and Customer Acquisition Cost (CAC).
• Deep-Dive Analytics: Built Customer Cohort Retention Heatmaps, RFM Segmentation, Pareto (80/20) Analysis, Marketing Funnel, and an Inventory Health Quadrant (Days of Cover vs. Sales Velocity).
• Premium UI/UX Design: Applied a custom JSON dark theme, Field Parameters (dynamic metric switching), 'What-If' scenario sliders for target forecasting, Custom Tooltips, and a seamless Master-Detail drill-through experience using Bookmarks.
(Note: Fictional dataset created for portfolio demonstration purposes).
Understanding Target Customers vs. Target Users in SaaS Product Development
A successful SaaS product starts with understanding who the product is built for — and who will actually use it.
In this lesson from the iiinnovations SaaS Masterclass, I explain two important concepts:
• Why the customer is not always the end user.
• How to identify and define the right target customer segment.
• The difference between buyers, decision-makers, and end users.
• Why customer segmentation matters before defining product requirements and features.
My approach to product development focuses on understanding business needs, user roles, and real-world problems before moving into product design and development.
The key principle: Build for the right people, solve the right problems, and create meaningful product value.
Follow iiinnovations for more practical insights into SaaS Product Development, Product Strategy, UX/UI Design, and Business Analysis.
#SaaSProductDevelopment #ProductStrategy #ProductManagement #CustomerSegmentation #UXDesign
Such an important distinction.
