About Me

Currently pursuing my undergraduate degree at IGDTUW, I am deeply passionate about coding and developing innovative solutions for real-world challenges. Proficient in C++ and well-versed in Data Structures and Algorithms, I am actively engaged in app development, utilizing tools such as Dart, Firebase, and various APIs. Participating in hackathons, I excel in creating projects under strict deadlines, honing my ability to handle pressure effectively.My enthusiasm extends to mathematics and machine learning, where I am exploring diverse fields such as AI and ML. In addition, my involvement in various college societies has contributed significantly to my personal growth and confidence. Possessing strong critical problem-solving skills and adept at public speaking, I aspire to leverage my natural leadership abilities to drive positive change in the corporate world.

Skills

Experience

Education

  • Languages:
    C++, Python, C, SQL
  • Technologies/Frameworks:
    Flutter, Firebase, CSS, HTML, NumPy, Pandas, Matplotlib, scikit-learn, Tensorflow, GitHub
  • Core CS fundamentals:
    OOPS, DBMS, Operating System, Computer Networks, System Design
  • Soft Skills:
    Leadership, Public Speaking, Time management, Team work
  • Jun 2024 – Present
    Summer Research Internship | Carnegie Mellon University
  • Jun 2023 – Jul 2023
    Machine Learning and Android Development Intern | The Sparks Foundation
  • Jan 2023
    Winner of the Institute-level of Solving For India Hackathon conducted by Google Cloud,
  • Dec 2021 – May 2025
    Indira Gandhi Delhi Technical University For Women, Delhi
    Bachelor in Mechanical and Automation Engineering, CGPA: 8.84
  • Apr 2018 – Mar 2020
    Haryana Vidya Mandir, Kolkata
    Senior Secondary (Science with Computer Sc.) CBSE BOARD , Percentage : 89.40
  • Jan 2006 – Feb 2018
    Holy Child Institute, Kolkata
    Secondary ( WBBSE BOARD ), Percentage : 92.10

My Projects

Credit Card Approval Prediction

Implemented exploratory data analysis and trained the model using Logistic Regression which results in an accuracy score of 99.09 percent. Technologies Used: NumPy, Pandas, scikit-learn, Matplotlib, Logistic Regression

Project Link

SoWhat (Kya Boyein)

Developed a Mobile App to support sustainable agriculture and farming for farmers which predicts appropriate crops that can be sowed in a particular region. Integrated the Decision Forest Machine Learning Model using TensorFlow Lite, which gives an accuracy of 98 percent.

Project Link

Chittiksha (Team Project)

Developed a full-stack website, that provides integrated solutions for individuals facing mental health issues. Implemented features such as resources, age-specific articles, a meditation room, and online consultation with like-minded individuals. Technologies Used: ReactJS, CSS, HTML, Wix, Javascript

Project Link

My Achievements

AMEX Discovery Program

Selected as a member of the prestigious 2024 American Express India Campus Discovery Program Cohort. Contributed to a cohort of 150 members chosen from 5000+ submissions.

Hackathon Winner

Winner of the Institute-level of Solving For India Hackathon conducted by GeeksforGeeks and Google Cloud, got selected for the regional level out of 100+ applicants.

JBNSTS Scholarship holder

Selected as a JBNSTS Senior Scholar 2020 from among 50,000 applicants, awarded by the Government of West Bengal, receiving a 4-year B.Tech scholarship.

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Contact Me

debasmita02mondal@gmail.com

7596947907

Developed By Debasmita Mondal