📄 Resume: View My Resume
I’m a Computer Science Engineering student specializing in Big Data Analytics, passionate about building data-driven, AI-powered solutions for real-world problems.
I enjoy working at the intersection of Data Science, Machine Learning, NLP, and scalable systems, and I’ve gained hands-on experience through internships, academic research projects, and independent learning.
Currently, I’m sharpening my skills in machine learning, explainable AI, and Data Analytics, while preparing for competitive exams and industry roles.
- Data Cleaning & EDA
- Feature Engineering
- Supervised & Unsupervised Machine Learning
- Model Evaluation & Optimization
- LSTM & BERT basics
- Explainable AI (XAI)
- Knowledge Graphs & GraphRAG
- Basic Frontend using HTML, CSS, and JavaScript
- Streamlit Dashboards
- Research project using Knowledge Graphs for legal AI
- Compared Vector-RAG vs GraphRAG
- Improved multi-hop reasoning and reduced hallucinations
- Machine learning-based fraud detection system
- Handled imbalanced datasets and feature selection
- Evaluated using precision, recall, and F1-score
- Analyzed historical agricultural datasets using EDA techniques.
- Built and evaluated regression-based ML models to predict crop yield outcomes.
- Derived insights to support data-driven decision-making in agriculture.
- Built using HTML, CSS, and JavaScript
- Deployed via GitHub Pages
- Showcases projects, skills, and certifications
- 💼 LinkedIn: www.linkedin.com/in/rashamvir-kaur-grang
- 📧 Email: rasham0027@gmail.com
I love turning raw data into insights and ideas into deployable systems.