Courses
Data Structures
Software Engineering
Database Management Systems
Web Development
Proficient
Basic
Fluent
Python, JAVA, HTML5, CSS3, Javascript, C++.
Software Engineering, Data Structures, Algorithms, Web Development, Database Management Systems, GitHub.
Data Cleaning, Data Modeling, Data Analysis, Insight Generation, PowerPoint, Microsoft Excel.
Generative AI, Computer Ethics, AI.
Information Security Awareness, Cybersecurity, Threat and Vulnerability Management.
Problem-Solving, Teamwork, Collaboration, Communication, Adaptability, Flexibility.
Microsoft Word.
Coding Challenges, Open-Source Contributions.
Summary
The AI-Powered Smart Email Classifier for Enterprises is a project designed to automate the, sorting, prioritization, and routing of large-scale, high-volume, incoming, and outgoing email communications. It replaces slow, manual, rule-based sorting with intelligent machine learning (NLP) to reduce inbox clutter, minimize operational risks, and ensure urgent messages are handled promptly. Key Components & Features: Intelligent Categorization: Uses AI (e.g., Random Forest, Decision Trees, or Transformer-based models) to classify emails into categories like Urgent, Support, Invoices, Spam, or Sales. Sentiment & Urgency Detection: Analyzes the tone (Positive/Negative/Neutral) to prioritize high-impact or critical issues for immediate attention. Automated Action & Routing: Triggers actions such as auto-tagging, forwarding to specific departments, generating automatic draft replies, or flagging for human review. Integration & Scalability: Designed to plug into existing corporate email systems (Gmail, Outlook) via APIs (like Python/Flask or n8n) to handle thousands of emails daily.
Summary
Completed a simulation focused on advising a hypothetical social media client as a Data Analyst at Accenture.
Artificial intelligence intern
India
Internship
Summary
An AI Intern supports development of AI/ML models by handling data, training algorithms, coding (Python, TensorFlow), researching new techniques (LLMs, NLP), and collaborating with engineers on projects like chatbots or automation, gaining hands-on experience in data science and real-world application