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
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.
Testimonials
Contact
King's College London
Strand,
London WC2R 2LS,
United Kingdom
Email:
divyani.panda@gmail.com
Call:
(+44) 7771093594