---
title: "Ayesha Tuba A - AI Intern in Bengaluru | Tal"
description: "Meet Ayesha Tuba A, Building @Primeayrquantis | Data Analyst & Business Analyst (Seeking) | Power BI · SQL · Python · Excel | Turning 50K+ Records into Business Decisions | DAX · ETL · Predictive Modeling | Open to Roles in Bengaluru based in Bengaluru."
image: "https://tal.club/meet/ayesha-2/share-image"
---

# Ayesha Tuba A on Tal

## Headline

Building @Primeayrquantis \| Data Analyst & Business Analyst \(Seeking\) \| Power BI · SQL · Python · Excel \| Turning 50K\+ Records into Business Decisions \| DAX · ETL · Predictive Modeling \| Open to Roles in Bengaluru

## About

I don't just build dashboards — I build the clarity that helps teams stop guessing\. In my final year at Surana College \(BCA, CGPA 8\.54\), I spent every internship chasing that moment when messy data becomes a decision\. At Infosys Springboard, I built a Power BI dashboard on Amazon's financial data — dynamic KPIs, advanced DAX, real\-time tracking\. At Edunet Foundation, I shipped an AI\-powered Streamlit app that predicts Heart Disease, Diabetes, and Parkinson's with 90% accuracy\. At Excelerate, I dug into ad campaign data \(CTR, CPR, ULC\) and recommended targeting changes that improved ROI\. My most recent project analysed 50,000\+ employee records to surface attrition drivers — end\-to\-end: SQL\-backed ETL, DAX measures, KPI dashboards, and an executive summary ready for the boardroom\. Skills: Power BI · DAX · SQL · Python · Excel · ETL · Predictive Modeling · Machine Learning \(SVM, KNN, Random Forest\) I'm an immediate joiner based in Bengaluru, open to Data Analyst, Power BI Developer, or BI Analyst roles — onsite, hybrid, or remote\. 📩 Let's connect: ayesha4894@gmail\.com

## Location

Bengaluru

## Work experience

AI Intern at Edunet Foundation, Jan 2025 \- Feb 2025 · 2 mos, Remote, Disease Outbreak Prediction \* Designed and deployed a multi\-disease prediction web app \(Streamlit\) achieving 90% classification accuracy across 3 conditions using SVM, KNN, and Random Forest — live demo hosted end\-to\-end\. \* Engineered input features from raw medical datasets, reducing false\-negative rate and improving early detection reliability for heart disease, diabetes, and Parkinson's\.

Data Visualization Early Intern at Excelerate, Nov 2024 \- Dec 2024 · 2 mos, Remote, Superhero U Ad Campaign \* Audited a full digital ad campaign, tracking CTR, CPR, and ULC across audience segments to identify underperforming spend clusters\. \* Delivered budget reallocation and targeting recommendations that improved campaign ROI — proposal presented to client stakeholders\.

Infosys Springboard\-Data Visualization Intern at Infosys Springboard, Oct 2024 \- Dec 2024 · 3 mos, Bengaluru, Next\-Gen Financial Insights \* Built a production\-grade Power BI dashboard visualizing Amazon's multi\-year revenue, expense, and profit trends across 5\+ dimensions — enabling executive\-level performance tracking\. \* Authored 10\+ advanced DAX measures for real\-time KPI tracking and forward forecasting, reducing manual reporting effort for the finance use case\.

## Education

Bachelor of Computer Applications, Surana College \- South end

Pre University College, Computer Science, Business Studies, Economics, The National PU College \- Jayanagar 7th Block

[View the original profile](https://tal.club/meet/ayesha-2)

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