Welcome to my data portfolio. Here you'll find a collection of works that display my skillset through various projects I've worked on and are currently working on.
I'm currently a recent BSc Economics and Finance student self-teaching myself Python and SQL through various projects
My interests include:
- Sports
- Economics & Finance
- Powerlifting/ Weightlifting
- Anime/Manga
Please contact me on Linkedin
- Using YFinance API to scrape and parse financial stock data into a dataframe
- Conducted exploratory data analysis on financial data set
- Leveage Python to calculate financial metrics and crates visualations of data
- Used academic knowledge in real-world application to forecast stock prices into the future
- Keywords(API, Time Series, Data Analysis, Finance, Stock Market, Supervised learning)
- Data extraction/creation using requests, BeautifulSoup and Pandas to webscrape EPL match data
- Cleaned extracted dataframes to prepare for machine learning
- Leveaged sckit-learn package in a classification problem to create predictions
- Used error merics to measure and improve the predicitive power of the model we built
- Keywords(Webscraping, BeautifulSoup, Data Cleaning, Sports, Machine Learning)
- Webscraped multiple pages from the past 30 NBA Seasons to create unique datasets
- Performed data cleaning on scraped dataset to prep for analysis
- Conducted data analysis and created data visualisation.
- Used Machine Learning techniques to extend analysis and identify patterns
- Keywords(Webscraping, Pandas, Data Analysis ,Data Cleaning, Sports, Machine Learning)
- Parsed financial news headlines from Finviz using BeautifulSoup and cleaned data.
- Used 'nltk'package to analyze the emotion of the news headlines to create sentiment scores
- Plotted the emotions over the day analysed the interesting results.
- Keywords(BeautifulSoup, Time Series, Sentiment Analysis, matplotlib)