Divyani Panda - Portfolio

Hi there! 👋

I'm a postgrad student at King's College London, pursuing an MSc in Advanced Computing, with a passion for AI, Deep Learning and Game Development.


My journey into the world of game development during college laid the foundation for a broader exploration into the realms of Artificial Intelligence (AI) and Machine Learning (ML). Beyond deep learning and cybersecurity, my research also delves into active automata learning applied to game mechanics. I'm also currently exploring the areas of cloud computing and big data analytics.


Outside of work, I find joy in practicing yoga, which not only helps me maintain balance and focus but also fosters mindfulness and resilience. Traveling is another passion of mine; I love exploring different cultures and new landscapes, as these experiences inspire my creativity. Reading is another passion of mine—whether it’s immersing myself in fiction or keeping up with the latest in technology and AI. These activities enrich my life and fuel my curiosity, enabling me to bring fresh perspectives to my work.

Chevening Scholar & Game Developer

I’m a Data Scientist, Tableau DataDev Ambassador, and Chevening Scholar, with over 2 years of experience at Deloitte as a Cyber Risk Advisor, specializing in risk assessment and incident response in the Government and Public Services sector. I excel in predictive modeling, data visualization, and data mining algorithms, with a passion for translating data into compelling insights that drive informed decision-making and foster collaboration. Seeking opportunities that would allow me to leverage these technologies to create impactful data-driven solutions.

  • MSc Advanced Computing, King's College London, UK
  • Bengaluru, India
  • divyani.panda@gmail.com

Interests

Artificial Intelligence

Deep Learning

Game Development

Data Science

Behaviour Trees AI

Big Data Analytics

Data Visualization

Risk Assessment

Skills

Python 95%
C/C++85%
Game Dev: C# and Unity90%
Web Dev: JS/HTML/CSS85%
Tensorflow, Keras 80%
scikit-learn 85%
Data Analytics: Pandas, NumPy, NLTK (NLP) 85%
LLM: LangChain, HuggingFace, LlamaIndex 75%
Data Visualization: Tableau, D3.js 85%
Cloud Computing: GCP, Azure70%
Data Wrangling, Statistical Analysis 80%
VAPT: Burp Suite, NMAP, Fortify 85%

Resume

Summary

Divyani Panda

Data Scientist, Tableau DataDev Ambassador and Chevening Scholar, with 2+ years experience at Deloitte as a Cyber Risk Advisor, specializing in risk assessment and incident response in the Government and Public Services sector. Proficient in predictive modeling, data processing, and data mining algorithms. Skilled at communicating data-driven insights through visualizations, facilitating cross-functional collaboration and informed decision-making.

  • Bengaluru, Karnataka, India
  • divyani.panda@gmail.com

Education

MSc. Advanced Computing

2023 - 2024

King's College London, UK

Relevant Coursework: Pattern Recognition, Neural Networks and Deep Learning, Data Mining, Big Data Analytics, Data Visualization, Agents and Multi-agent Systems, Artificial Intelligence Planning

Scholarship: Chevening-Adani AI Scholarship 2023-24 by FCDO

Bachelor of Technology

Electrical and Electronics Engineering

2017 - 2021

Vellore Institute of Technology, Vellore, India

CGPA: 9.39

Relevant Coursework: Microprocessor and Microcontroller, Advanced Control Theory, Applied Numerical Methods, Digital Signal Processing, Engineering Optimization, Rapid Prototyping with FPGAs, Statistics for Engineers

Scholarship: VIT Merit Scholarship 2017-18

Professional Experience

Data Scientist (Part-time)

May 2024 - August 2024

DataAnnotation
London, UK

  • Optimized GenAI models using prompt engineering, improving response accuracy by 15%.
  • Designed data science scenarios involving statistical modelling and visualization to enhance LLM capabilities.
  • Ensured accuracy and consistency in annotated data to enhance the reliability of model outputs.

Advisory Associate Solution Advisor

May 2022 - August 2023

Deloitte USI Risk and Financial Advisory
Bengaluru, India

  • Government and Public Services sector
    • Led penetration testing across web and mobile platforms, driving a 25% improvement in client security posture.
    • Performed risk assessment and penetration testing for the Log4j vulnerability— a major incident in the client’s infrastructure— securing all components and earning an Outstanding Performance Award.
    • Led client meetings and collaborated with 15+ team members to turn security insights into actionable strategies.
    • Automated large-scale data parsing with Python, cutting processing time by 80% and identifying unprotected servers, improving network security efficiency.

Advisory Analyst

July 2021 - May 2022

Deloitte USI Risk and Financial Advisory
Bengaluru, India

  • Government and Public Services sector
    • Scoped and launched the application security testing program (VAPT), identifying 10+ critical vulnerabilities.
    • Conducted anomaly detection, generating actionable insights that led to a 15% reduction in security incidents.
    • Performed automated application security testing and manual penetration testing for client's internal and customer-facing web applications utilizing industry-leading tools such as Burp Suite Professional.
    • Worked collaboratively with members of the Security Operations Services focused on different aspects of Cyber delivery, including Application Testing, Identity and Access Management, and Threat Detection and Response.

Technology Intern

Jan 2021 - April 2021

Deloitte USI Risk and Financial Advisory
Bengaluru, India

  • Developed and optimized proof of concepts for SAP Commerce Cloud, enhancing e-commerce security.
  • Researched findings and implementation strategies for a technical white paper, showcasing strong technical communication and contributing to internal knowledge-sharing.

Software Development Intern

May 2019 - June 2019

ALUK Building Systems Pvt. Ltd.
Bengaluru, India

  • Worked on the upgradation and development of ALUK in-house Software for Structural Analysis and Design of Aluminium windows and curtain walls under static loading, incorporating new user-friendly features along with visualizations of the bending behavior of beams.

Personal Projects - Highlights

To view all my projects, please visit my GitHub: 7divs7

  • All
  • Unity
  • JavaScript
  • Python
  • Genetic Algorithms
  • Neural Networks
  • Electronics

Research Publications

SCYTALE - AN EVOLUTIONARY CRYPTOSYSTEM

Published: 7 August, 2020

Journal: International Journal of Computer Science and Network, Volume 9, Issue 4

Authors: Unnikrishnan Menon, Atharva Hudlikar and Divyani Panda

With the advent of quantum computing, and other advancements in computation and processing capabilities of modern systems, there arises a need to develop new trapdoor functions that will serve as the foundation for a new generation of encryption schemes. This paper explores the possibility of one such potential trapdoor function using concepts stemming from Reversible Cellular Automata (RCA) -- specifically, the Critter's Rule set up in a Margolus Neighborhood. The proposed block encryption algorithm discusses how sensitive data can be manipulated and converted efficiently into a two dimensional sequence of bits, that can be iteratively evolved using the rules of the RCA and a private key to achieve a desirable level of encryption within a reasonable runtime. The performance benchmark and analysis results exemplify how well the proposed encryption algorithm stands against different forms of attacks.

DESIGN AND EVALUATION OF ELECTRIC BUS SYSTEMS FOR METROPOLITAN CITIES

Published: 26 October, 2020

Journal: SSRG International Journal of Mechanical Engineering 7(10), 16-23

Authors: Unnikrishnan Menon and Divyani Panda

Over the past decade, most of the metropolitan cities across the world have been witnessing a degrading trend in air quality index. Exhaust emission data observations show that promotion of public transport could be a potential way out of this gridlock. Due to environmental concerns, numerous public transport authorities harbor a great interest in introducing zeroemission electric buses. A shift from conventional diesel buses to electric buses comes with several benefits in terms of reduction in local pollution, noise, and fuel consumption. This paper proposes the relevant vehicle technologies, powertrain, and charging systems, which, in combination, provides a comprehensive methodology to design an Electric Bus that can be deployed in metropolitan cities to mitigate emission concerns.

Achievements

Testimonials

Divyani is a great security analyst and penetration tester to work with. I recently collaborated with her on a long-term project, and she very quickly learned to use the tools in our pentesting toolkit. She was thrown into our project and almost immediately began discovering critical vulnerabilities in our client's environment and creative ways to bypass existing security mechanisms. She is great at working with developers and security personnel alike to understand what is happening under the hood of an application, and I would gladly recommend her to any team looking for a smart security analyst that is able to quickly get up to speed and adapt as circumstances and environments change.

Bryan Curl

Cybersecurity Consultant, Penetration Tester at Coalfire

Contact

King's College London

Strand,
London WC2R 2LS,
United Kingdom

Call:

(+44) 7771093594

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