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muhammadzubair-data/README.md

Muhammad Zubair

Data Scientist | Data Analyst | AI & Business Intelligence

I build end-to-end data solutions that turn complex business data into clear insights, forecasts, intelligent applications, and better decisions.

My work spans Data Analytics, Machine Learning, Business Intelligence, Forecasting, NLP, Predictive Analytics, and AI-powered decision systems — with an emphasis on practical, business-focused projects rather than isolated models.

🚀 Featured Project

AI Business Intelligence Copilot

An end-to-end AI-powered business intelligence application that allows users to ask business questions in natural language and receive governed, evidence-backed analytical answers.

Capabilities:
Natural Language Analytics • Root-Cause Analysis • Anomaly Detection • Forecasting • Business Intelligence • SQL Evidence • Decision Intelligence

🔗 View Repository
🚀 Try Live Application

📊 Selected Data Science & Analytics Projects

🛒 Retail Demand Forecasting & Inventory Optimization

Demand forecasting, hidden-demand estimation, replenishment analytics and inventory optimization.

View Project

💳 Financial Fraud Detection & Risk Analytics

Machine-learning fraud detection, anomaly analysis, explainable AI and transaction risk analytics.

View Project

📈 B2B Sales Pipeline & Revenue Intelligence

Lead scoring, revenue forecasting, calibrated machine learning, sales capacity optimization and next-best-action intelligence.

View Project

💬 Customer Sentiment & Voice-of-Customer Analytics

NLP-driven sentiment analysis, topic modeling, emerging-issue detection and complaint prioritization.

View Project

🛡️ Cybersecurity Threat Detection & SOC Analytics

Machine learning, UEBA, anomaly detection, risk scoring and security-alert prioritization.

View Project

🧠 What I Work On

  • Data Science & Machine Learning
  • Data Analytics & Business Intelligence
  • Predictive Analytics & Forecasting
  • AI-Powered Analytics Applications
  • Natural Language Processing
  • Customer & Revenue Analytics
  • Risk & Anomaly Detection
  • Data Visualization & Executive Reporting

🛠️ Technology Stack

Languages: Python • SQL
Analytics: Pandas • NumPy • Scikit-learn
Visualization: Power BI • Tableau • Matplotlib • Plotly
AI & ML: Machine Learning • NLP • Forecasting • Explainable AI
Applications: Streamlit
Data: DuckDB • Relational Analytics • Feature Engineering
Development: Git • GitHub • Automated Testing • CI/CD

🎯 My Approach

DATA → PATTERN → INSIGHT → DECISION

I focus on the complete analytical journey — not simply building a model, but understanding the business problem, validating the data, producing reliable analysis, and translating the result into something decision-makers can actually use.

🌐 Let's Connect

🌍 Portfolio: ZubairLabs
💼 Upwork: Data Analytics & Data Science
💻 GitHub: muhammadzubair-data

Building practical data products, one project at a time.

Pinned Loading

  1. ai-business-intelligence-copilot ai-business-intelligence-copilot Public

    AI Business Intelligence Copilot for governed analytics, root-cause investigation, anomaly detection, forecasting, and evidence-backed business insights.

    Python

  2. financial-fraud-detection-risk-analytics financial-fraud-detection-risk-analytics Public

    End-to-end financial fraud detection and transaction risk analytics using Python, SQL, machine learning, anomaly detection, explainable AI, and investigation optimization.

    Python

  3. retail-demand-forecasting-inventory-optimization retail-demand-forecasting-inventory-optimization Public

    End-to-end retail demand forecasting and inventory optimization using Python, SQL, machine learning, hidden-demand estimation, replenishment analytics, and Power BI-ready reporting.

    Python 1

  4. b2b-sales-pipeline-revenue-intelligence b2b-sales-pipeline-revenue-intelligence Public

    B2B sales pipeline analytics with lead scoring, revenue forecasting, calibrated ML, sales capacity optimization, and next-best-action intelligence.

    Python

  5. customer-sentiment-voice-of-customer-analytics customer-sentiment-voice-of-customer-analytics Public

    Voice-of-Customer analytics using NLP, sentiment analysis, topic modeling, emerging-issue detection, and complaint prioritization.

    Python

  6. cybersecurity-threat-detection-soc-analytics cybersecurity-threat-detection-soc-analytics Public

    Cybersecurity threat detection and SOC analytics using machine learning, UEBA, anomaly detection, risk scoring, and alert prioritization.

    Python