Qaaifah Bhat
@qaaifahbhat
Detail-oriented Data Analyst Intern who automates data pipelines with SQL, Python, and BI dashboards.
What I'm looking for
I’m a detail-oriented Data Analyst and AI Automation Specialist with hands-on experience across the analytics workflow—collecting and cleaning data, querying with SQL, analyzing with Python, and building dashboards in Power BI and Tableau. I turn raw data into actionable insight, from real-time lead and performance tracking to trend and audience analysis that supports measurable engagement.
As a self-employed AI Automation Specialist, I design and deploy multi-step automation workflows using n8n and Zapier to reduce manual data-processing time. I’ve built AI-powered chatbots on AiSensy, integrated them with Google Sheets for real-time lead tracking and conversion analysis, and developed Telegram bots that log inquiries and route support tickets into a clean, queryable record. I also integrate third-party APIs (including Google Workspace and Calendly) into automated pipelines to keep data flow consistent across systems.
I complement automation with ongoing analytics practice through AI content work, analyzing platform trends, engagement metrics, and audience behavior to guide content strategy. I’m excited to bring my analytical mindset and automation background to a Data Analyst Intern role where I can build reliable data pipelines end to end and deliver clear dashboard-driven insights.
Experience
Work history, roles, and key accomplishments
AI Automation Specialist
Self-Employed (Freelance)
Jan 2025 - Present (1 year 6 months)
Designed and deployed multi-step automation workflows using n8n and Zapier to reduce manual data-processing time for small business clients. Built WhatsApp and Telegram AI chatbots with Google Sheets for real-time lead tracking, reporting, and conversion analysis, including API integrations across Google Workspace, Calendly, and CRM tools.
AI Content Creator
Self-Employed (Freelance)
Jan 2025 - Present (1 year 6 months)
Analyzed platform trends, engagement metrics, and audience behavior to guide content strategy and ongoing exploratory data analysis. Managed end-to-end content pipelines from data-informed concept selection through publishing and performance review, using tracked performance data to inform future decisions.
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Qaaifah hasn't added their education
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