Python
Data analysis, machine learning and application development.
Hello, I'm
Bijana Khadka
Data Science Enthusiast
Passionate about turning data into meaningful insights and ideas into practical solutions. I enjoy exploring technology, building useful projects, and applying Data Science to solve real-world problems.
ABOUT ME
I am a Data Science enthusiast with an interest in data analysis, machine learning, and developing data-driven solutions. I enjoy working with data to identify patterns, generate meaningful insights, and solve real-world problems. I have hands-on experience with Python, SQL, machine learning, natural language processing, and data visualization through personal projects. I am continuously learning and improving my technical skills while exploring new technologies and practical applications of Data Science.
SKILLS
Pandas
Data manipulation, cleaning and analysis using structured datasets.
NumPy
Numerical computing, arrays and mathematical operations for data analysis.
SQL
Database querying, data manipulation and structured data analysis.
Data Analytics
Data cleaning, exploration, analysis and extracting meaningful insights
Data Visualization
Creating meaningful visualizations using Matplotlib, Seaborn and Tableau.
Scikit-learn
Machine learning model development, training, evaluation and prediction.
Machine Learning
Supervised and unsupervised learning techniques.
NLP
Text processing, sentiment analysis and language applications using NLTK and TextBlob.
Development Tools
Jupyter Notebook, VS Code, Streamlit and SQLite.
Git & GitHub
Version control, project management and collaboration.
PROJECTS
01
Heart Disease Prediction
A machine learning project that predicts the likelihood of heart disease from patient medical data using supervised learning techniques, and deployed as a Streamlit web application.
02
Student Performance Prediction
A predictive analytics project that analyzes student data and predicts final grades and pass/fail outcomes using regression and classification techniques, and deployed as a Streamlit web application.
03
Sales & Customer Analytics
An analytics project that analyzes online retail transactions to uncover business insights and segment customers using K-Means clustering, with results visualized in Tableau.
04
Amazon Review Sentiment Analysis
An NLP project that analyzes Amazon product reviews and classifies their sentiment as positive or negative using machine learning techniques.
05
SQL Business Data Analysis
A data analytics project that extracts meaningful business insights from retail sales data using SQL queries and structured data analysis.
CERTIFICATES
CONTACT
I’m open to opportunities where I can apply my skills, learn from real-world experiences, and contribute to meaningful data-driven projects.