Tabina Navaid

Tabina Navaid

Hi I am, Tabina !

I build
  • Insightful Dashboards
  • AI Agent Workflows
  • Intelligent Businesses

I combine analytics, AI workflows, and automation to drive measurable business impact.

About Me

Bridging Data, AI, and Business Strategy

Data Analyst &
  • AI Agent Architect
  • Workflow Engineer
  • Business Strategist

I am a Data Analyst with 5+ years of experience and a Master’s degree in Data Science, specializing in turning complex data into actionable business intelligence. My work spans the full data spectrum from exploratory analysis and trend identification to predictive modeling and AI-driven automation.

I design and build scalable data solutions that help organizations move beyond static reporting toward intelligent, real-time decision systems. This includes developing analytics frameworks that uncover patterns within business operations, implementing predictive models that support strategic planning, and creating AI agent workflows that automate processes and improve efficiency. My focus is not only on understanding what has happened in the business, but also on building systems that inform what should happen next.

Skills

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Dashboards

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Automation Workflows

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Years of Experience

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AI Workflows

POrtfolio

Billing & Revenue Performance Report

Financial dashboard built for a German company, tracking collections and revenue across a 5-year period. Connected to a live Microsoft Azure data pipeline. It gives finance and operations teams a single source of truth for monitoring €576K+ in total revenue, €234K in billed amounts, and €117K in extracted (collected) money, with dynamic filters.

Patient Health Tracking App and Analytics

A full end-to-end patient monitoring system built from scratch for a Canadian elderly care startup. The project spanned database design, app development, and analytics, covering an ERD-designed MySQL database, a Google AppSheet mobile app used by two clinical teams for visit-by-visit data entry, and a Power BI dashboard for patient vitals monitoring.

Multi-Channel Marketing Funnel (EDA)

A Python-based Exploratory Data Analysis, built to evaluate the end-to-end performance of a multi-channel marketing funnel. The analysis covers five acquisition channels, Organic, Paid Search, Paid Social, Referral, and Email,  and computes the core unit economics:: Customer Acquisition Cost (CAC), Customer Lifetime Value (LTV), and Return on Investment (ROI).

Fee Installments Automation Workflow

An automated fee installment approval workflow built in Microsoft Power Automate for a university, triggered by student form submissions. The flow handles the entire process from data capture to approval routing, automatically cross-checking each submitting student against a blacklist before deciding whether to proceed  or block it.

Customer Support AI Agent

An AI-powered customer support agent built in n8n that autonomously handles incoming customer emails. The agent uses RAG with OpenAI’s,  a Pinecone vector database for knowledge retrieval to generate context-aware responses to customer queries, automatically deciding whether to send a reply directly or draft it for human review.

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