Mohammad Hasan
Analytical Engineer @Funnels Mastery Academy
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WORK HISTORY
Analytical Engineer @Funnels Mastery Academy
EDUCATION
Nackademin
Business Intelligence Analylics
Blekinge Institute of Technology
Master of Business Administration (MBA), Företagsekonomi
NTI-skolan
Economic Assistant
The Institute of Engineers, Dhaka, Bangladesh
Kurs, Understanding of System Administration, Networking & ISP Setup with LINUX,
Edugrade
Microsoft Azure Cloud Advisor
AMA University
Bachelor of Science in Business Administration - BSBA, Management Information System (MIS)
KTH Royal Institute of Technology
Master of Science - MS, Economics of Innovation and Growth (Innovations och tillväxtekonomi)
Stockholm University
Master’s Programme in Strategic Information Systems Management , Computer/Information Technology Administration and Management
Purdue University
Certificate, Applied Generative AI Specialization
ABOUT MOHAMMAD HASAN
Analytics Engineer | BI Solutions | AI & AutomationI’ve always been a bit of a data geek with a creative streak. There’s something incredibly satisfying about taking a messy, complicated pile of information and turning it into a visual story that actually makes sense to people.My work lives at the intersection of business strategy and technical architecture. I don\'t just \"make reports\", I build the systems that make those reports reliable. Whether it\'s at a global scale for Unilever or in fast-moving environments like Funnels Mastery Academy, my goal is to bridge the gap between vague business questions and production-ready data solutions.What I’m currently focused on:Engineering Truth: At FMA, I’m building a unified \"Single Source of Truth\" in Azure, reconciling fragmented data from Meta Ads and Stripe so the team can see their true profitability in real-time.Optimization: I love finding \"hidden\" trends that move the needle. At Unilever, I focused on automating the heavy lifting and reducing manual reporting by 25% so the team could focus on decisions instead of data entry.The AI Accelerator: I’m obsessed with how AI can do the repetitive stuff. I’m currently specializing in Applied Generative AI to build AI-ready datasets and LLM-driven workflows that make analytics faster and smarter.My Toolkit:The Engine: SQL, Python, Azure Data Factory, Databricks, MS Fabric, dbt.The Story: Power BI, Qlik Sense, Tableau.The Logic: Star-schema modeling, ETL/ELT, and automated financial tracking.I’m known for being practical, structured, and easy to work with. I believe that data should speak clearly, and I’m here to build the pipes that let it do exactly that.
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