Greetings 👋! I am a recent graduate from the School of Computer Science at XIM University. Currently, I am engaged in a Sponsored Research Fellowship at BITS Pilani, Goa Campus. I extend a warm welcome to you as you peruse my portfolio. My primary area of specialization lies within the field of Data Science, where I have dedicated significant time and effort to honing my expertise. I am excited to showcase the depth of my knowledge and the breadth of my experience in this dynamic field. Thank you for taking the time to explore my portfolio; I trust it will offer valuable insights into my accomplishments.

Technologies

Through my coursework, I have gained extensive knowledge working with a diverse range of technologies, particularly in the field of data science. This has allowed me to develop a comprehensive skill set that empowers me to drive innovation. I possess capabilities in various areas within data science, enabling me to effectively analyze and extract valuable insights from complex datasets. I am adept at utilizing cutting-edge tools and techniques to derive meaningful conclusions and make informed decisions.

Deep Learning

Attack Graph

Process Mining

Research Statement

I feel compelled to convey the trajectory of my academic journey, research aspirations, and commitment to advancing Artificial Intelligence (AI) within the field of Cyber-Physical Systems (CPS) security. My academic interests have always been rooted in understanding complex systems and solving intricate, real-world problems. During my undergraduate studies, my thesis, titled “Rumor Detection using Deep Learning Techniques,” marked my initial foray into applied AI research, wherein I developed an end-to-end framework for early rumor detection on social media. This work not only demonstrated AI’s potential in addressing pressing societal issues but also reinforced my desire to pursue AI-focused research.

My interest in CPS security crystallized during my first research fellowship in 2023, where I began exploring the intersection of AI, Machine Learning (ML), and cyber-physical environments. This research allowed me to examine the nuanced dynamics of CPS, in which the convergence of physical, computational, and communication elements presents both intricate challenges and promising opportunities for intelligent systems. In the course of my research, I led the development of an automated toolchain that parses log files, generates Petri Net models through the $\alpha$-algorithm, and applies perturbations to these models to simulate potential attacker actions. This work culminated in a comprehensive e-commerce case study, leading to a peer-reviewed publication at the 16th International Conference on Communication Systems and Networks. Expanding upon this, I initiated a project aimed at proactively detecting cyber threats in digital infrastructure through attack graph modeling. Leveraging deep learning, I developed a method to predict feasible links in an Attack Graph by integrating data from multiple cyber threat intelligence sources with process mining techniques. This model employs Graph Convolutional Networks (GCNs) to highlight behavioral patterns affecting digital infrastructures, enabling the prediction of probable attack paths. The findings were accepted for presentation at the 29th IEEE Pacific Rim International Symposium on Dependable Computing (PRDC 2024).

Looking ahead, I am dedicated to advancing research in the security of CPS using AI. My proposed research aims to develop robust AI-driven models for preemptive security in CPS, focusing on anomaly detection, real-time threat assessment, and the secure orchestration of interconnected systems. Through a combination of deep learning methodologies, probabilistic reasoning, and system-level modeling, I intend to design scalable frameworks capable of addressing the unique security challenges that arise in interdisciplinary CPS applications. This research promises to make meaningful contributions to AI-driven CPS security, bridging theoretical advancements with practical, resilient solutions for the digital infrastructures of tomorrow.

Experience

Research Fellow

Birla Institute of Technology and Science, Pilani
Jul 2023 - Aug 2024 · 1 yr 2 mos | South Goa, India (On-site)

Worked on the NTIHAC-HUB, IIT Kanpur-sponsored project "Predictor and Analyzer of Security Threats (PAST)." Focused on safeguarding critical infrastructures by applying CPS and Formal Modeling techniques to enhance security and resilience in interconnected systems.

Skills Obtained: Cyber Threat Intelligence, Network Security, Data Analysis, Formal Modeling, Critical Infrastructure Protection

Bachelor's Thesis

Xavier Institute of Management (XIM Bhubaneswar)
Jul 2022 - Mar 2023 · 9 mos | Bhubaneswar, India (On-site)

Developed an end-to-end framework for early rumor detection on social media using deep learning, improving state-of-the-art performance in early detection.

Skills Obtained: Deep Learning, Natural Language Processing, Large-Scale Data Analysis, Weak Supervision, Research Methodology

Data Science Intern

The Sparks Foundation
Jun 2021 - Jul 2021 · 2 mos | Singapore (Remote)

Completed tasks in Data Science and Business Analytics, including exploratory data analysis (EDA) on a sample superstore dataset to identify weak business areas for profit improvement.

Skills Obtained: Data Visualization, Exploratory Data Analysis (EDA), Business Analytics, Python / R / Tableau / PowerBI

Data Science Intern

Verzeo
Jan 2021 - Mar 2021 · 3 mos

Worked on two major projects:

• AgeWise: Developed a machine learning model to detect and classify signs of aging in human skin using advanced algorithms.
• MaskRadar: Built a real-time face mask recognition system using deep neural networks and TensorFlow Keras.

Skills Obtained: Machine Learning, Computer Vision, TensorFlow / Keras / OpenCV, Model Deployment, Image Processing

Business Development Intern

MyCaptain
Jan 2021 - Feb 2021 · 2 mos

As a Student Ambassador, engaged in various roles to develop existing skills and gain new ones.

Skills Obtained: Public Speaking, Communication and Interpersonal Skills, Presentation Skills, Teamwork, Networking