---
title: "Asiyamath Azeema - AI/ML & Data Science Intern at VisionAstraa EV Academy in Kasaragod | Tal"
description: "Meet Asiyamath Azeema, AI & Data Science Engineer | Data Analyst · Business Analyst | Power BI · Python · SQL · TensorFlow | Analytics · BI · ML based in Kasaragod. Explore public work links including github."
image: "https://tal.club/meet/asiyamath-azeema/share-image"
---

# Asiyamath Azeema on Tal

## Headline

AI & Data Science Engineer \| Data Analyst · Business Analyst \| Power BI · Python · SQL · TensorFlow \| Analytics · BI · ML

## About

I build things with data that people actually use\. KSCST\-funded deepfake detection system\. 5\+ Power BI dashboards live in production\. EV battery ML model deployed on Streamlit\. All shipped before graduation\. ───────────────────────── B\.E\. Artificial Intelligence & Data Science — Bearys Institute of Technology, Mangalore \(CGPA: 8\.85, VTU\)\. Interned at VisionAstraa EV Academy \(AI/ML\) and Cognifyz Technologies \(Power BI\)\. Completed Deloitte Data Analytics Job Simulation — Forage 2025\. ───────────────────────── ▸ Reduced client reporting lag by 2 days — Power BI dashboards with 20\+ DAX measures, SQL Server \+ Azure Blob integration\. ▸ \~94% F1\-score across text, image, audio & video deepfake detection — Xception CNN \+ NLP \+ Librosa, deployed via Flask REST API\. ▸ EV Battery SOH Prediction: R² 0\.53, MSE 0\.0017 on 662\-record commercial bus dataset\. Shipped on Streamlit\. ───────────────────────── Fluent in English, Malayalam & Hindi\. Open to: Data Analyst · Business Analyst · Junior Data Scientist · ML Engineer 📩 asiyamathazeema@gmail\.com

## Location

Kasaragod

## Work experience

AI/ML & Data Science Intern at VisionAstraa EV Academy at VisionAstraa EV Academy, Feb 2026 \- May 2026 · 4 mos, •Architected KNN imputation \+ Isolation Forest pipeline — cut data inconsistencies by 25%\. •Fitted Random Forest model on 662\-record EV bus data — R²: 0\.53, MSE: 0\.0017\. •Shipped Streamlit SOH prediction app for real\-time battery health inference\. •Presented weekly EDA dashboards to a 4\-member engineering team — shaped battery strategy\. •Spearheaded EV Battery SOH Prediction capstone \- Streamlit\-deployed\.

Power BI Intern at Cognifyz Technologies, Mar 2026 \- Apr 2026 · 2 mos, •Developed 5\+ Power BI dashboards — SQL Server \+ Azure Blob, 20\+ DAX measures\. •Orchestrated Power Query pipelines — eliminated manual refresh, cut lag by 2 days\. •Delivered Agile\-sprint KPI scorecards, iterated on stakeholder feedback\.

## Education

Bachelor of Engineering \- BE, Artificial Intelligence and Data Science, Bearys Institute of Technology

## Public links

- github: https://github\.com/asiya\-azeema

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

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