Hi, I’m Gurleen Kaur Bali 👋
A passionate Data Analyst, AI Explorer, and Developer with a creative mind and a love for building impactful projects.
About Me
I'm a passionate developer with hands-on experience in machine learning, web development, and natural language processing. I’m proficient with tools like Hugging Face, Tableau, and Django, and I've built smart chatbots, dashboards, and apps.
Technical Skills
My Projects
🔍 IPCheck – Suspicious IP Tracker on World Map
Description:
- ⚡Built a FastAPI backend powered by a trained Random Forest ML model to predict IP risk levels.
- 🌍Designed a React frontend for CSV uploads, AI result visualization, and an interactive world map of flagged IPs.
- 🚀Deployed the backend on Render and frontend on Vercel with secure CORS handling & environment variable setup.
🤖 Personal Chatbot
Description:
- ⚡Developed with SentenceTransformer (all-MiniLM-L6-v2) embeddings + FAISS similarity search.
- 📈Curated a JSON dataset of custom Q&A prompt–response pairs.
- 🔍Integrated an interactive Streamlit chat interface.
📊 Interactive Dashboard
Description:
- ⚡ Connected, cleaned, and standardized sales data.
- 📈 Revenue analysis and trend visualizations (by market, customer, product).
- 🔍 User-friendly dashboard for data-driven decisions.
💬 Sentiment Analysis
Description:
- 🧠 Developed a NLP-based Sentiment Analysis model using Python
- 📊 Used Hugging Face dataset, strong data preprocessing, and LSTM deep-learning model.
- 🌐 Processed datasets with Pandas & applied text preprocessing.
⚡ Other Projects
🩺 Diabetes Prediction
Machine learning model that predicts the likelihood of diabetes based on medical input features.
💬 Article Summarizer model
This project implements an abstractive text summarization system using a Sequence-to-Sequence (Seq2Seq) model with LSTM-based encoder-decoder architecture.
GitHub🖼️ Image Classification
Deep learning project that classifies images into categories using a CNN architecture.
GitHubCertifications
J.P. Morgan - Software Engineering Simulation
Training & Experience
Data Science Trainee — Shape MySkills
July – August 2024
Worked on ML classification tasks, logistic regression, deployed a diabetes prediction app using Streamlit.