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Data & Business Analyst | Turning raw data into decisions
Hi, I'm Ariful — a Data/Business Analyst with hands-on experience in supply chain operations and a growing skill set in Machine Learning, Deep Learning, and BI.
I work with Python, SQL, Power BI, and Excel to turn messy operational and financial data into predictive models and clear, actionable dashboards. Currently expanding into Generative AI (LangChain, HuggingFace).
Open to freelance work in data analysis, business analytics, and supply chain analytics.
Portfolio: https://ariful579.github.io
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Here are some slides from an analytics project I've been working on.
Monochrome approach looks amazing!
Built a company intelligence and role-resolution system for TenderScope that connects fragmented company records across permits, tenders, contract awards and early construction signals.
The system normalizes company identities, matches records to canonical companies and verifies organizations against the OrgBook BC registry. Rather than simply identifying a company, it determines the role the company plays in a construction project — such as General Contractor, Developer, Architect, Construction Manager, Consultant or Subcontractor.
Each resolution is supported by confidence scoring and evidence, with safeguards that protect previously verified data and deadlock-safe PostgreSQL operations for reliable processing.
The result is a structured intelligence layer that turns inconsistent company mentions across multiple data sources into verified company identities, project relationships and evidence-backed construction roles.
Three Shopify CSV problems I check before an import:
• duplicate SKUs assigned to different variants
• missing handles or titles
• prices or inventory stored as invalid text
I built a small fixed-scope audit for this: up to 20 CSV/XLSX rows, a corrected import-ready file, and a concise issue report. USD 29, two-day delivery, written communication only. No call or Shopify admin access is required.
If you work with supplier spreadsheets, which error costs you the most time?
