Suhas K P

Software Engineer

Bengaluru, Karnataka, India8 mos experience

Key Highlights

Proficient in Python and SQL for data analysis.
Experience in bot detection and traffic analysis.
Strong backend development skills with FastAPI.

Stackforce AI infers this person is a Python-focused engineer with expertise in data analysis and backend development.

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Skills

Core Skills

PythonSql

Other Skills

Google BigQueryData AnalysisKibanaAutomationElasticsearchAnalytical SkillsPrompt WritingRedisBig Data AnalyticsPostgreSQLMySQLExpress.jsREST APIsAlgorithmsNode.js

About

Hello! I'm Suhas, a Python-focused engineer with experience in data analysis, log investigation, and backend development. I recently worked as a Data Science Intern at Radware, where I analyzed large-scale traffic datasets using BigQuery and SQL, investigated bot detection patterns, and used Python (Pandas) to process and analyze data. My core technical skills include: • Python • SQL & BigQuery • Data Analysis (Pandas) • ElasticSearch & Kibana • FastAPI • HTML, CSS, JavaScript • Data Structures & Algorithms (DSA) • Problem Solving I enjoy building practical solutions using Python, developing backend systems, and working with data to uncover insights and solve real-world problems. I’m currently open to opportunities in Python development, backend development, and data analysis roles, where I can continue learning and contribute to meaningful projects.

Experience

Radware

Software Engineer Intern

Jul 2025 – Mar 2026 · 8 mos · Bengaluru, Karnataka, India · On-site

Analyzed large-scale web traffic datasets using SQL and Google BigQuery to identify abnormal request patterns and automation behavior.
Investigated bot detection patterns across 15,000+ customer environments, identifying fake bots impersonating legitimate AI crawlers.
Developed Python scripts for data extraction, processing, and exploratory analysis to accelerate traffic investigations.
Built data-driven detection rules by analyzing behavioral patterns in millions of web requests.
Performed analysis to reduce False Positives (FP) and False Negatives (FN) in automated bot detection systems.
Optimized BigQuery SQL queries to improve performance and reduce cloud compute costs.

SQLGoogle BigQueryPythonData Analysis