Summary
Education
Skills
Affiliations
Accomplishments
PROJECTS
Websites
Timeline
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Diya Hansaria

New Delhi

Summary

Driven and curious upcoming second-year B.Tech Computer Science (specialization in Artificial Intelligence) student with a strong interest in scalable tech solutions and innovation. Eager to apply my problem-solving mindset and foundational technical skills in real-world scenarios through opportunities like Flipkart GRiD. Looking to learn from industry experts, grow through hands-on challenges, and contribute meaningfully to forward-thinking initiatives.

Education

Bachelor of Technology - Computer Science (Artificial Intelligence)

Indira Gandhi Delhi Technical University For Women
Delhi, India
01-2028

Skills

Technical Skills

  • Programming Languages: Python, R, C/C
  • Data Structures & Algorithms: Arrays, Linked Lists, Trees, Graphs, Recursion
  • Software Development: Object-Oriented Programming, Exception Handling, File I/O,
  • Data Analysis & Visualization: NumPy, Pandas, Matplotlib, Seaborn, Tableau
  • Machine Learning (Introductory): Regression, Classification, Bayes, SVM Algorithms
  • Cybersecurity Awareness: Principles of data privacy, authentication, network security basics
  • Platforms: Jupyter Notebook, VS Code

Soft Skills

  • Problem-Solving & Analytical Thinking
  • Effective Verbal & Written Communication
  • Time management
  • Teamwork & Cross-functional Collaboration
  • Leadership & Adaptability

Affiliations

  • Participated in Innovortex 2.0 Ideathon

Introduced the concept of A.I Bot P.E.N.N.I. (Personal Economic Navigator and Guide of your Investments), an AI-powered investment assistant that provides personalized financial guidance based on individual factors, offering a one-stop solution for investment needs

  • Conducted a Money-Masterclass on Investment Basics, teaching 50–70 participants

Accomplishments

  • Reached Semi-final round in Finspire competition by IIM Sirmaur
  • Achieved First Runner-Up position in Finance competition Bidding Blitz
  • Achieved Second Runner-Up position in Pitch Desk Business-Plan Competition conducted by Finivesta and Ecell IIIT-Delhi - Introduced Moneypur, a next-gen trading platform that addresses key gaps in existing paper trading apps through realistic simulations, AI-powered insights, and community-driven learning.
  • Appointed Finance and Research Core of Finivesta (college finance society)

PROJECTS

  • STOCK MARKET SIMULATOR

designed in python this is a tool which provides a realistic environment for  backtesting trading strategies in stocks in Nifty 500 Index of NSE using multithreading, queues, libraries for data analysis, and graphics for an interactive experience 

 Link: https://github.com/diya371/Stock-Market-Simulator

  • Currently conducting a comparative study of supervised learning models (e.g., Logistic Regression, SVM, Random Forest, Naive Bayes) for fake news detection using Python, Scikit-learn, and NLP techniques.

  

Timeline

Bachelor of Technology - Computer Science (Artificial Intelligence)

Indira Gandhi Delhi Technical University For Women
Diya Hansaria