I’m Aleena Abid Ali, a full-stack web developer who builds and ships production systems end to end—bringing product ideas to life across React, TypeScript, Node.js, and SQL, and taking features through deployment and iteration. I enjoy owning work from user feedback all the way to automated testing, CI/CD, and reliable cloud-ready releases.
I’m also the founder and lead engineer of VisIQ, a live SaaS platform used daily by 1,000+ data scientists, ML engineers, and analysts. Through VisIQ and previous engineering work, I’ve automated slow workflows into fast, accurate pipelines, built responsive dashboards for real-world users, and added AI-powered capabilities using LLM APIs and RAG.
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VisiQ (visiq.digital) is an AI-guided data workspace that turns raw spreadsheets into clear, shareable insight — no code, no setup, no friction. Upload a CSV, Excel, or JSON file and VisiQ instantly profiles your data, flags and fixes quality issues, and renders it across sixteen-plus configurable chart types, from simple bar and line charts to heatmaps, violin plots, and correlation matrices. A guided Train Model wizard lets anyone build classification, regression, clustering, or forecasting models using libraries like Scikit-learn and XGBoost, while built-in anomaly detection shows where the signal breaks and why. Unlike typical no-code tools, VisiQ shows its work: every chart, transform, and model generates the exact Python or SQL it ran, so your analysis is transparent and reproducible. When you’re done, one click exports a polished, boardroom-ready PDF report — complete with charts, statistics, and plain-English verdicts. Built for analysts, founders, students, and anyone who thinks in data, VisiQ collapses the entire workflow from messy file to confident decision into a single workspace.
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