Aspiring Data Analyst
Aspiring Data Science student passionate about transforming data into actionable insights. Currently seeking internship opportunities.
Featured Projects
AQI Prediction for Kathmandu Valley
Developed a time series forecasting model using XGBoost to predict Air Quality Index (AQI) for Kathmandu Valley. Processed and analyzed 4 years of historical data (2017-2021), implemented feature engineering, and achieved accurate predictions for 2022.
Key Features:
- Data preprocessing and cleaning of 4-year AQI measurements
- Feature engineering including temporal features
- Time series visualization using Seaborn and Matplotlib
- XGBoost model implementation and optimization
- Performance evaluation using MSE metrics
Technologies Used:
Customers Segmentation Analysis
Applied K-means clustering to segment customers based on purchasing behaviors. Created comprehensive dashboard using Tableau for visualization. Provided actionable insights for marketing strategies.
Nepal Stock Market Analysis
Conducted time series analysis on historical stock data using Python. Implemented ARIMA and LSTM models for price prediction. Created interactive visualizations using Plotly.
Skills & Coursework
Programming & Tools
- Python (NumPy, Pandas)
- SQL (MySQL, PostgreSQL, MongoDB)
- Git & GitHub
- Jupyter Notebook
- VS Code
Data Analysis & ML
- scikit-learn
- Statistical Analysis
- Feature Engineering
- Data Preprocessing
- Model Evaluation
Visualization
- Tableau
- Power BI
- Matplotlib
- Seaborn
- D3.js basics
Relevant Coursework
- Data Mining
- Statistical Methods
- Database Management
- Artificial Intelligence
- Data Visualization
About Me
I'm an Aspiring Data Science student with a passion for uncovering insights from complex datasets. My academic journey has equipped me with strong analytical skills and a deep understanding of statistical methods. I'm eager to apply these skills in a real-world setting through an internship opportunity.