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Asiyamath Azeema

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

Kasaragod

< 1 year of work experience

VisionAstraa EV Academy
Feb 20264 mosMay 2026

•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.
Cognifyz Technologies
Mar 20262 mosApr 2026

•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.
GitHub
@asiya-azeema

Education

Bachelor of Engineering - BE, Artificial Intelligence and Data Science

Bearys Institute of Technology

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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

Asiyamath Azeema - AI/ML & Data Science Intern at VisionAstraa EV Academy in Kasaragod | Tal