Projects & Work
Showcasing my work in Data Analysis, Data Science, Machine learning.
NEPALI HOUSE PRICE PREDICTION MODEL
A machine learning project that predicts house prices in Nepal based on features like location, size, and amenities. The model compares Linear Regression, Random Forest, and Gradient Boosting to find the most accurate predictions. Built with an interactive Streamlit app for real-time price estimation.
Python • Streamlit • Pandas • NumPy • Jupyter Notebook • Scikit-Learn • Matplotlib • Seaborn • Streamlit Cloud
RESUME CLASSIFICATION ANALYSIS MODEL
A machine learning project that automatically classifies resumes into job domains such as Data Science, Web Development, and HR using NLP techniques. The Streamlit app allows users to upload resumes and instantly view their predicted category
Python • Streamlit • Pandas • NumPy • Jupyter Notebook • Scikit-Learn • Matplotlib • Seaborn • Streamlit Cloud
CAFE MANAGEMENT SYSTEM
Desktop application that connects the kitchen department with counter and manages orders of the customers and generates bills.
SQL • C#.NET
MOBILE SALES AND CUSTOMER MANAGEMENT SYSTEM
Tracks the purchase and sales history of any mobile shop with its stock level update.
MySQL • Hibernate • Java • Spring Boot
TWITTER SENTIMENT ANALYSIS MODEL
This project aims to classify tweets into positive, negative, or neutral sentiments using machine learning.It was developed as a mini data science project to practice NLP techniques and model deployment using Streamlit..
Python • Streamlit • Pandas • NumPy • Scikit-Learn • Matplotlib • Seaborn • NLTK • Streamlit Cloud
EMPLOYEE SALARY PREDICTION MODEL
This project predicts employee salaries based on various factors such as experience, education, and role using machine learning regression techniques.
Python • Streamlit • Pandas • NumPy • Jupyter Notebook • Scikit-Learn • Matplotlib • Seaborn • Streamlit Cloud
LOAN APPROVAL CLASSIFICATION MODEL
A machine learning project designed to classify whether a loan application will be approved or not based on applicant information such as income, home ownership, loan amount, loan intent, interest rate, and credit-related details. The model was built using Support Vector Machine (SVM) for binary classification.
Python • Streamlit • Pandas • NumPy • Jupyter Notebook • Scikit-Learn • Matplotlib • Seaborn • Streamlit Cloud
COVID-19 Classification Model
This project predicts whether an individual is COVID-19 positive or negative based on symptoms such as cough, fever, sore throat, headache, and known contact history. The model was built using Support Vector Machine (SVM)
Python • Streamlit • Pandas • NumPy • Jupyter Notebook • Scikit-Learn • Matplotlib • Seaborn • SVM • Streamlit Cloud
BBC NEWS TEXT CLASSIFICATION MODEL
This project classifies BBC news articles into categories such as business, tech, politics, sport, and entertainment using Logistic Regression and TF-IDF vectorization. It applies advanced NLP preprocessing like stopword removal, stemming, and text cleaning to achieve accurate news topic prediction.
Python • Streamlit • Pandas • NumPy • Jupyter Notebook • Scikit-Learn • Matplotlib • TF-IDF • Seaborn • NLTK • Streamlit Cloud
EMPLOYEE SALARY CLUSTERING MODEL
This project groups employees into distinct clusters based on their age, years of experience, education level, and salary using Principal Component Analysis (PCA) and K-Means clustering. It helps visualize and understand hidden salary patterns among employees with similar profiles.
Python • Streamlit • Pandas • NumPy • Jupyter Notebook • Scikit-Learn • Matplotlib • Seaborn • Streamlit Cloud • PCA • K-Means