Gurjeet Kaur
B.Tech In Computer Science | AI/ML Enthusiast | Proficient In C, C++, HTML, CSS, JS, Python & MySQL
Summary
A results-driven learner with passion for continuous improvement and academic excellence. Proven ability to adapt to new challenges and contribute effectively to team efforts. Reliable and flexible, with strong skills in critical thinking and collaboration. Known for maintaining high standards and delivering quality results.
Overview
15
15
years of post-secondary education
5
5
Certifications
Work History
Intern
Edunet Foundation
04.2024 - 05.2024
- Built a machine learning model to detect fake news using Python, Jupyter Notebook, and scikit-learn.
- Applied natural language processing (NLP) techniques using libraries like NLTK and pandas for data cleaning and preprocessing.
- Trained and evaluated classification models such as Logistic Regression and Naive Bayes to improve accuracy.
Intern
AICTE TechSaksham
01.2024 - 03.2024
- Developed a personal fitness tracker web application using Python, Streamlit, and Jupyter Notebook.
- Implemented data analysis using Pandas and NumPy, and visualized progress charts.
- Collaborated with a team to design user interface and improve performance.
Education
Bachelors of Technology - Computer Science AIML
Gyan Ganga Institute of Technology and Sciences
Jabalpur, Madhya Pradesh 10.2022 - 06.2026
HSC Degree (12th Board) -
Kendriya Vidyalaya
04.2020 - 01.2022
SSC Degree (10th Board) -
M.G.M. School
04.2010 - 01.2020
Skills
- Python
- C
- C
- JavaScript
- SQL
- MySQL
- Oracle
- Git
- GitHub
- VS Code
Projects
AI-Based Nutrition Planner Web App
(Team Project, Period: Feb 2024 – Apr 2024)
- Built a multi-page nutrition recommendation system using Streamlit with Gemini API integration.
- Used Scikit-learn for prediction models and Firestore for user data management.
- Features: Chatbot integration, and personalized daily meal plans.
Implementation of Personal Fitness Tracker using Python
(Period: Jan 2024 – Feb 2024)
- Developed a web-based personal fitness tracker that enables users to monitor their daily workouts, track progress, and analyze fitness trends. Integrated interactive visualizations and data analytics to provide insight, enhancing user engagement, and goal-setting.
- Tools used: Python, Streamlit, and Jupyter Notebook.
Sentiment Analysis
(Period: Sep 2023 – Oct 2023)
- Developed a sentiment analysis using Python libraries such as NLTK, MatplotLib, etc.
- Tools used: Google Colab.
Certification
AWS Academy Cloud Foundations
Disclaimer
I hereby declare that all the information provided in this resume, including my personal details, qualifications, and certifications, is true, accurate, and valid. I take full responsibility for the authenticity of the documents and credentials mentioned.
Timeline
Intern
Edunet Foundation
04.2024 - 05.2024
Intern
AICTE TechSaksham
01.2024 - 03.2024
Bachelors of Technology - Computer Science AIML
Gyan Ganga Institute of Technology and Sciences
10.2022 - 06.2026
HSC Degree (12th Board) -
Kendriya Vidyalaya
04.2020 - 01.2022
SSC Degree (10th Board) -
M.G.M. School
04.2010 - 01.2020
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