TANISHA KHANNA

Career Objective

To leverage my skills in web development and machine learning while contributing to impactful projects, gaining practical experience, and growing as a technology professional.

Education

• B.Tech in Computer Science and Engineering, Indira Gandhi Delhi Technical University for Women (2024 – 2028)
• Class 12th, St. Michael’s Sr. Sec. School – 94.6% (2023)
• Class 10th, St. Michael’s Sr. Sec. School – 94.4% (2021)

Experience

• Undergraduate Research Intern, IGDTUW (Sep 2024 – Apr 2025)
  • Contributed to a research paper on breast cancer prognosis using machine learning.
  • Applied Random Forest on TCGA-BRCA dataset, ensuring robust generalization.
  • Performed feature importance analysis for genetic markers.
• Python and Machine Learning Research Intern, IGDTUW (Jun 2025 – Present)
  • Developing ML approaches for genetic disease detection using genomic datasets.
  • Implemented models: Random Forest, SVM, Neural Networks.
  • Worked with public genomic datasets for model training/testing.

Projects

• Time Twist | HTML, CSS, React, JavaScript (Aug 2025 – Present)
  • Developed frontend of web app using HTML, CSS, JS.
  • Deployed on Netlify with GitHub data visualization for collaboration.
• SkillXchnage | HTML5, CSS3, JavaScript (Jul 2025)
  • Built retro-themed web application for skill exchange.
  • Added custom CSS animations, retro effects, and theme switching.
  • Implemented authentication, profile management, and swap request system.

Technical Skills

• Languages/Tech: Python, C/C++, JavaScript, HTML/CSS
• Developer Tools: Visual Studio, RStudio, Android Studio, Figma
• Libraries: Pandas, NumPy

Achievements

• Research paper mentee in ACM Student Chapter