Kanika Rajput

I'm an AI Master's student, interested in creating intelligent systems that respond to actual cybersecurity issues. I'm working on my thesis full-time: an AI-based Cyber Risk Management framework to forecast and defend against sophisticated DDoS attacks, leveraging MATLAB-based modeling (ISO 27001, MEHARI, NIS2, Monte Carlo simulations).
My educational foray into education has covered a broad spectrum of practical experiences—ranging from developing high-level temporal graph embeddings of dynamical networks to developing socially aware robots with autonomous capabilities. I am a naturally inquiring, analytical, and devotedly progressive individual with a continuous learning zeal to grasp new methodologies and apply them creatively to resolve multifaceted challenges.
I'm Eager to bring my skills, passion, and commitment to innovation to a role in AI, cybersecurity, or data analytics where I can make a difference and keep learning as a professional.

Cybersecurity AI Coach (Ongoing Thesis) | MATLAB, Monte Carlo Simulation

• Real-time AI decision support for cyber risk mitigation of high-intensity DDoS attacks.
• Risk quantification through scenario modeling to inform strategic cybersecurity response.

Temporal node2vec for Dynamic Networks (ML for Graphs) | Python, NetworkX, Embeddings

• Extended node2vec algorithm for temporal dynamics, improving link prediction (AUC: 0.83) and multi-label classification (F1: 0.82).

Autonomous Social Robot | Python, NAO Robot, Dialogflow, Human-Robot Interaction (HRI)

• Developed detailed interaction designs to give robots autonomous, realistic personalities.
• Implemented NLP features (Dialogflow) for seamless conversational interactions.
• Conducted thorough literature research to enhance realism and user engagement.
• Managed experimental setups including ethical consent forms, participant briefings, and data collection.
• Improved user perceptions significantly in anthropomorphism, likability, and intelligence, as measured by the Godspeed Questionnaire Series.

Hotel Recommendation System (Data Mining) | ALS, Python, Collaborative Filtering

• Built and optimized implicit-feedback-based recommendation model, addressing large-scale dataset challenges.

Mood Prediction & Analytics (Data Mining) | Python, Random Forest, LSTM

• Performed data-driven mood prediction achieving 80% accuracy; evaluated strengths and weaknesses of RNNs vs. Random Forest models.

Web Scraping & Sentiment Analytics | Python, NLTK, BeautifulSoup (Jan 2023)

• Developed automated scraping tools extracting and analyzing sentiment data.
• Performed NLP sentiment analysis to derive actionable insights from textual data.

2D Platformer Game | Unity (2022)

• Engineered a narrative-driven game with multiple endings based on user interaction.
• Leveraged programming and creative storytelling to enhance user engagement.

• Google Data Analytics (Google)
• Programming for Everybody (Getting Started with Python) (Coursera)
• UI/UX Design (Certification Platform)
• Microsoft Digital Skills Program (Advanced Excel) (Microsoft)

Utilization of AI in Graphic Designing | Global Scientific Journal
(DOI: 20.18001.GSJ.2021.V8I4.21.36940)
Explored integration and impact of artificial intelligence methodologies within graphic design workflows.

I enjoy creating detailed, expressive 3D visuals and abstract art as a personal passion.

Check out some of my work on Behance [https://www.behance.net/kr37].