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Full Stack Engineer with less than a year in Python, Java & Web Development
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I am a final-year Information Science and Engineering student with a strong foundation in C, Python, full-stack development. My academic and project experiences, including work on neural networks and data analytics, reflect my ability to apply technology to solve practical challenges. Certified in Google Data Analytics and IBM Cybersecurity, I bring a results-driven, adaptable, and growth-oriented mindset, with the commitment to contribute effectively in dynamic professional environments.
A.P.S COLLEGE OF ENGINEERING SOMANAHALLI
B.E · Information Science and Engineering
August 1, 2022 – June 30, 2026
Sri siddaganga science Pu college
PUC · Science
June 1, 2021 – May 31, 2022
Sri someshwara vidyalaya
SSLC
June 1, 2019 – May 31, 2020
AI powered cyber security threat intelligence system
June 1, 2026 – Present
The AI-Powered Cyber Threat Intelligence System is an advanced framework designed to detect, analyze, and mitigate cyber threats in real time using artificial intelligence (AI) and machine learning (ML) techniques. The system integrates threat data from multiple sources, applies automated analytics and pattern recognition, and delivers actionable intelligence to improve the decision-making and response capabilities of cybersecurity teams.
Wine Quality Classification using Neural Networks and PyTorch
June 1, 2026 – Present
Developed a Deep Neural Network (DNN) model using PyTorch to predict white wine quality based on chemical properties. The project involved visualizing feature distributions, preprocessing data through standardization, and constructing a DNN with an input layer of 11 neurons (corresponding to 11 features) and two output neurons for binary classification (high or low quality). The model achieved a test accuracy of 76.53%, indicating its potential for automated wine quality assessment, while acknowledging the need for further refinement.
Data Analytics and Google Analytics for Beginners
June 1, 2026 – Present
Generative AI
Analytics Vidya
June 1, 2026 – Present
Distributed Systems
Infosys Springboard
June 1, 2026 – Present
Cyber Security for Beginners
Microsoft
June 1, 2026 – Present
Skill Council for Green Jobs (solar)
NCVET
June 1, 2026 – Present
Certification of internship in python
Besant Technologies
June 1, 2026 – Present
Python course
Besant Technologies
June 1, 2026 – Present
Web application with MERN stack
Edunet
June 1, 2026 – Present
IBM SkillsBuild Internship Data Analytics
IBM
June 1, 2026 – Present
Basics of Python
Infosys Springboard
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects show diversity in interests, ranging from AI/ML for wine quality classification to cybersecurity threat intelligence. The numerous certifications also indicate a proactive approach to learning and skill development across various domains, including data analytics, web development, and distributed systems. This breadth of interest suggests an adaptable individual who could fit into a dynamic, learning-oriented culture. However, the lack of professional experience makes it challenging to assess cultural fit in a real-world team environment.
Soft Skills & Operational Fit
The candidate's 'About Me' section highlights a results-driven, adaptable, and growth-oriented mindset, which are positive indicators for operational fit. The academic projects demonstrate an ability to apply technology to solve practical challenges. However, without direct work experience or psychometric test results, it's difficult to fully assess stress handling, team collaboration, or communication clarity in a professional setting.