Muhammad Noman Aslam — Data Scientist
I turn campaign data into decisions that actually change how teams operate. In almost 3 years at Propstar Technologies, I went from cold caller to leading campaign diagnostics and building data systems used daily by our operations and client teams. That path taught me something most analysts miss — the real problem is rarely the data. It's that nobody built a system to act on it. Here's what I've built that's actually being used: Designed an agent-state affinity model that identifies which US states each agent performs 50%+ above their average in — now used to assign agents to campaigns where they're most likely to convert. Built a city-level lead generation analysis across a full year of data, resulting in a client-facing checklist that helps clients decide whether cold calling in a specific city is worth the investment — before they spend a dollar. Developed a market analysis tool that identifies which cities perform best within each US state, giving clients data-backed targeting recommendations instead of gut decisions. Reduced company-wide Calls per Lead from 200 to 140 by standardizing how campaigns are assigned — matching the right time slots, agent groups, and markets using performance data. Built automated monitoring systems in Excel, Google Sheets, AppScript, and n8n that flag underperforming campaigns before they waste budget. Core competencies include requirements gathering, stakeholder management, KPI definition, data mapping, and dashboard specification. Experienced working across business and technical teams to translate operational problems into data-driven reporting solutions. Recently moved into direct client advisory work — analyzing markets proactively and flagging underperforming states before clients commit budget, based on historical lead generation data. I'm currently building toward independent consulting — helping real estate operations and small businesses build the same kind of data systems that turn messy campaign data into clear decisions. If you work in real estate operations, lead generation, or campaign analytics — let's connect.
Stackforce AI infers this person is a Data Analyst specializing in Campaign Analytics and Performance Optimization within the SaaS industry.
Experience: 5 yrs 7 mos
Skills
- Data Analytics
- Campaign Analytics
Career Highlights
- Reduced Calls per Lead from 200 to 140
- Designed data systems for campaign optimization
- Expert in data-driven decision making
Work Experience
Propstar Technologies
Senior Data Analyst (7 mos)
Campaign Optimization Specialist | Business Intelligence (1 yr 1 mo)
Data Analyst (2 mos)
Customer Relationship Management Assistant (3 mos)
ASG Metals Limited
Shift Incharge (1 yr 2 mos)
Abbas Steel Group
Shift Engineer (2 yrs 9 mos)
Education
at Mehran University of Engineering and Technology
