10:30
WED • 29 OCT
Yasar data analyst and builder
Zenny Studios Just now

Client site is live

SIH26162 2m ago

Classifier prototype running on NASA FIRMS data

Case Studies 12m ago

[Case title] added

10:30
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About Me Yasar
Yasar
Data analyst & builder

Third-year B.Tech AI & Data Science student. Turning satellite telemetry into real-world software.

Python • SQL • Web Open Profile →
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Case Studies

3 studies
• Project Overview

SIH26162 Thermal Anomaly Classifier

Satellite sensor telemetry classifier for rapid wildfire and hotspot detection.

Problem

Raw satellite telemetry produces voluminous hotspot records with frequent false positives and lacks immediate municipal geospatial context for emergency responders.

Approach

Python NASA FIRMS OpenStreetMap

Built an automated ingestion pipeline in Python querying active fire telemetry from NASA FIRMS sensors. Cross-referenced coordinates against OpenStreetMap spatial layers to isolate industrial flare-ups from forest boundaries.

Result

[X]%
Detection precision improvement

Successfully processed [N] hotspot coordinates with sub-second spatial querying across OpenStreetMap land-use geometries.

View GitHub

About Me

Yasar

Data analyst and builder

Third-year B.Tech Artificial Intelligence and Data Science student.

What I Do

I bridge analytical computation and practical software tools. From building client websites like Zenny Studios to architecting satellite telemetry pipelines in SIH26162, I focus on data-driven clarity.

Education

B.Tech in Artificial Intelligence & Data Science

Third Year • Specializing in predictive modeling, relational query structures, and applied intelligence systems.

Projects

[N] active
Prototype Active Python / Geospatial

SIH26162 Thermal Anomaly Classifier

Real-time wildfire & thermal anomaly detection pipeline using NASA FIRMS active fire sensor data and OpenStreetMap boundary datasets.

Python NASA FIRMS OpenStreetMap
Live Client Site Web Engineering

Zenny Studios Client Site

Custom responsive website developed for Zenny Studios. Lightweight, fast-loading architecture built without heavy libraries.

HTML Tailwind CSS JavaScript
Analytics SQL / Data

[Project Title] Aggregation Pipeline

Relational data pipeline transforming raw operational metrics into automated analytical views with [X]% latency reduction.

Python SQL

Skills & Stack

Data & Core Languages

Python Primary

Telemetry ingestion, anomaly classification, analytical scripting

SQL Proficient

Complex queries, table joins, schema design & aggregation

Frontend & UI Engineering

HTML & Tailwind CSS Advanced

Semantic markup, responsive design, production interfaces

JavaScript Proficient

DOM manipulation, asynchronous fetch APIs, gesture listeners

React Component State

Component lifecycles, props flow, modern hooks

Geospatial & Datasets

NASA FIRMS OpenStreetMap Git & GitHub Linux Shell

Experience

Client Project

Web Developer & Builder

Zenny Studios

Designed and built the responsive official client site from ground up. Implemented clean semantic markup and modern CSS styling to provide fast mobile load times and high visual polish.

Research & Prototype

Project Builder — SIH26162

Thermal Anomaly Classifier

Developed a Python pipeline parsing NASA FIRMS sensor outputs, indexing spatial coordinates against OpenStreetMap geographic layers to classify wildfire threats accurately.

Higher Education

B.Tech Student (Third Year)

AI & Data Science Program

Completing coursework in Machine Learning, Statistical Analysis, Database Architecture, and Data Structures. Applied classroom theory into production-ready analytical prototypes.

Resume

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Yasar

Data Analyst and Builder

Third-Year B.Tech AI & Data Science

Education

B.Tech in Artificial Intelligence & Data Science

Third Year Undergraduate • Current

Technical Skills

Languages: Python, SQL, JavaScript, HTML, Tailwind CSS, React

Datasets & Geospatial: NASA FIRMS, OpenStreetMap

Real-World Projects

Zenny Studios — Client site live, responsive performance engineering.
SIH26162 — Python thermal anomaly classifier with NASA FIRMS active fire telemetry and OpenStreetMap layers.

Contact

Available

Looking for a data analyst or software builder? Feel free to reach out directly or send a message below.

GitHub Profile

GitHub

yasar

Yasar

Data analyst and builder

[N] repos [N] contribs
Pinned Repositories
SIH26162-thermal-classifier Public

Thermal anomaly identification using NASA FIRMS telemetry and OpenStreetMap polygon matching.

Python [N] stars
zenny-studios-platform Public

Production portfolio site built with Tailwind CSS and vanilla JS.

JavaScript [N] stars

Dashboards

Telemetry
Hotspot Points
[N]
NASA FIRMS ingest
Accuracy Rate
[X]%
Validated predictions
Thermal Intensity Distribution sample data
T-6h T-4h T-2h Peak +2h +4h Now

Learning Roadmap

Academic Focus (Year 3)

Deep Learning & Spatial Analytics

Mastering convolutional neural networks and spatial data indexing for satellite imagery analysis.

Open Source

Open Datasets & APIs

My thermal anomaly prototype is built on top of open data protocols provided by NASA FIRMS (Fire Information for Resource Management System) and geographic boundary datasets from OpenStreetMap.