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)