caner umar
Python Developer specializing in Web Scraping and Automation
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Engineered a Python-based data analytics solution designed to parse, process, and visualize environmental sensor telemetry data for urban air quality monitoring.
Key Technical Achievements:
Built a robust data pipeline using Python's native JSON library to ingest complex multi-point time-series sensor logs seamlessly.
Implemented a programmatic classification engine based on international air quality metrics to track PM2.5 concentrations in real-time.
Automated the generation of visual intelligence assets using Matplotlib, outputting professional data trend charts for corporate environmental compliance reporting.
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Developed a multi-threaded Directory Brute-Forcer in Python designed for automated web security audits, access control analysis, and hidden asset discovery.
Key Technical Achievements:
Engineered a concurrent discovery system utilizing thread-safe queue.Queue structures for optimized and race-condition-free endpoint testing.
Implemented a custom HTTP request engine capable of parsing server response states, specifically identifying 200 OK, 403 Forbidden, and 301/302 Redirections.
Configured lightweight network footprints with customized User-Agent handling and aggressive request timeout management to ensure stable reconnaissance pipelines.
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Developed a high-performance, multi-threaded Python command-line utility designed for automated infrastructure reconnaissance and security auditing.
Key Technical Achievements:
Engineered an asynchronous port scanner utilizing ThreadPoolExecutor to identify active services efficiently.
Implemented a proactive SSRF pre-checking system that automatically flags internal subnets to prevent logical security flaws.
Integrated multi-protocol banner grabbing (HTTP/TCP) to automatically extract remote server headers and software versions.
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17
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