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Python Engineer with 1+ years in Python development & RESTful APIs.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Proficient in Python development with hands-on internship experience. Knowledgeable in software development life cycle stages, including requirement analysis, design, and testing. Demonstrated strong problem-solving skills and a solid understanding of data structures and algorithms, leading to effective debugging. Successfully contributed to project completions by implementing innovative Python solutions.
Nehru Institute Of Technology - Coimbatore
B.E. · Computer Science and Engineering
N/A – June 30, 2022
K.R.P HSS
Higher Secondary Education · Computer Science
N/A – May 31, 2018
Claysys
SQL Developer
September 1, 2024 – March 1, 2025
Cochin, Kerala, India
Luminar Technolab
Python Developer (Intern)
January 1, 2023 – April 1, 2024
India
Infokis Pvt. Ltd
Data Labeler
January 1, 2021 – January 1, 2022
India
Food Waste Management App
June 28, 2026 – Present
Android app for food sharing to reduce waste and hunger.
FINDME (Newgen IEDC Project)
June 28, 2026 – Present
GPS-enabled tracking device for real-time location tracking.
E-Commerce Web Application
June 28, 2026 – Present
Developed with Python, Django, and RESTful APIs. Enabled user-friendly browsing and checkout.
HackerRank - Python (Golden Badge)
HackerRank
June 1, 2026 – Present
Sololearn - Python, Java, HTML, CSS, JavaScript
Sololearn
June 1, 2026 – Present
IIT Bombay - Android App Development Using Kotlin
IIT Bombay
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects show a diverse interest in web applications, mobile development, and IoT, indicating a willingness to explore different domains. The internship as a Python Developer aligns well with the target role, suggesting a focused career interest. The mix of academic and professional experiences, including a data labeler role, shows adaptability and a broad skill acquisition approach.
Soft Skills & Operational Fit
The candidate demonstrates problem-solving, effective communication, and team collaboration skills. Experience in Agile methodologies and cross-functional collaboration suggests a good operational fit. The data labeling experience indicates attention to detail and ability to meet deadlines.