I'm an aspiring Fullstack Web Developer skilled in Python, C++, Java, HTML, CSS, and JavaScript. With strong Git and GitHub proficiency, I blend creativity and logic to solve problems and deliver innovative solutions. My passion for learning new technologies keeps me at the forefront of the ever-evolving tech landscape. Let's bring ideas to life through elegant, efficient code.
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A machine learning-based solution designed to detect phishing websites by analyzing features like URL, HTML content, and metadata.
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Implements multiple machine learning algorithms to classify websites as phishing or legitimate with high accuracy.
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Provides an intuitive interface for users to predict phishing websites effortlessly.
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Comprehensive evaluation metrics are used to assess the model's performance and ensure reliability.
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Tech Stack:
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GitHub: Repository Link
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Developed a client-server system using Java and socket programming to generate dictionaries for specified keywords and parameters via a Command-Line Interface (CLI).
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Explores bruteforce attack methodologies, offering network administrators tools for dictionary creation and management.
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Provides a robust CLI for client interactions, allowing users to request and manage dictionary files from the server.
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Emphasizes educational value in network administration, socket programming, and ethical considerations of bruteforce attacks.
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Tech Stack:
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GitHub: Repository Link
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An innovative AI/ML project designed to empower individuals by analyzing medical images and providing insights into potential health conditions.
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Features advanced image analysis and disease prediction capabilities, offering users a preliminary understanding of possible medical conditions.
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Provides a user-friendly interface and educational resources to help users better understand their health.
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Aims to bridge the gap in access to healthcare information, serving as an initial reference while encouraging professional medical consultation.
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Tech Stack:
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GitHub: Repository Link
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Developed a robust anomaly detection system using machine learning techniques to identify unusual patterns in data, applicable in areas like fraud detection and network security.
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Features comprehensive data preprocessing, model training with various algorithms, and performance evaluation using multiple metrics.
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Includes visualization tools to better understand and differentiate between anomalies and normal data points.
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Easy setup with Python 3.7+ and essential libraries, allowing seamless integration and deployment.
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Tech Stack:
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GitHub: Repository Link
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Issuer: Amazon Web Services (AWS)
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Issued: Jul 2024
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Skills: Amazon Web Services (AWS), AWS Cloud, AWS Cloud Security, AWS Identity and Access Management (AWS IAM)
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Tech Stack:
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Issuer: Coursera
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Issued: Jun 2024
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Credential ID: 6JJHZY3QZG8W
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Skills: Cybersecurity
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Tech Stack:
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Issuer: Google
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Issued: Apr 2022
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Credential ID: EHX YBJ LE3
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Tech Stack:
Ernst & Young
June 21, 2024 – August 3, 2024
- Gained hands-on experience in cybersecurity and network security.
- Engaged in various security assessments, vulnerability analyses, and incident response activities.
- Contributed to the development and implementation of security policies and procedures.
Tata Steel
May 2024 – June 2024
- Developed a Generative AI-based chatbot that works on unstructured data.
- Worked on enhancing the chatbot’s capability to understand and process various forms of unstructured input.
- Collaborated with a team to refine the chatbot’s functionalities and user experience.
Hacktoberfest 2022
- Contributed to various open-source projects during Hacktoberfest.
- Collaborated with the community to improve software and documentation.
- Enhanced coding and collaborative skills through active participation.
- Provided web development and programming services to various clients.
- Worked on diverse projects including website development, software solutions, and tech consulting.
- Applied skills in MERN stack, Python, Java, and other technologies to deliver high-quality solutions.