This repository contains all the projects that I have done in data analysis. I am proficient in Python, SQL and Excel and have a strong background in analytical and stastical techniques. This portfolio showcases the projects that I have created and worked on throughout my studies in physics, astronomy, and data analytics, as well as financial applications in the stock market through my internships.
- Case Study: A data driven investment analysis
- An Analysis of Berlin Marathon Runners
- WeatherPy
- Earthquake Visualizations (repo)
- Stock Market Analysis
This section contains a series of quantative analyses done mainly in Python through my Bachelor's in Astrophysics.
- Determining the Orientation of Magnetic Fields in Star Forming Regions
- Fourier analysis using coupled oscillators
- Square Step Potential
- Asteroid 16 Psyche Light Curve Analysis
This repository contains a series of assignments completed as part of a Data Analytics program. These assignments demonstrate proficiency in various data analysis techniques, visualization tools, and programming languages commonly used in the field of data analytics.
- Python (Pandas, Matplotlib, BeautifulSoup, SQLalchemy, sklearn, Tensorflow)
- SQL (PostgreSQL, SQLite, SQLAlchemy)
- MongoDB, Hadoop
- JavaScript (D3.js, Leaflet.js, Plotly)
- HTML/CSS
- Flask
- Plotly
- Pandas Data Analysis: Utilized Pandas DataFrames to analyze school and standardized test data.
- Matplotlib Visualization: Created visualizations using Matplotlib to explore and analyze data from different sources.
- BeautifulSoup Web Scraping and Data Analysis: Conducted web scraping to gather data and performed analysis using BeautifulSoup and Pandas.
- Database Management: Designed database schemas and performed data engineering tasks using SQL and SQLAlchemy.
- Dashboard Development: Built interactive dashboards to explore and visualize data using Flask and Plotly.