Data Science Portfolio

Repository containing Data Science Projects I have worked on.

Data Science in Python

• Forecasting Bitcoin Price Using Twitter Sentiment Analysis: A script that collects daily Bitcoin price and Tweets, performs NLP, runs a multivariate time-series model, and outputs the predicted price for the next day. [NLP, AWS EC2, AWS s3, Multivariate Time-Series, APIs]
• Web Scraping and Salary Prediction on Indeed.com: HTML scraping of salary information on data science jobs in Indeed.com using BeautifulSoup. EDA Data cleaning of raw dataset. Data preparation for classification problem and use of Logistic Regression to predict salaries. [Web Scraping, Machine Learning]

Tools: scikit-learn, Textblob, Pandas, Seaborn, Matplotlib,

Machine Learning Reports at London Business School (Using XLMiner)

Before learning to code, while at London Business School I learned how to leverage Machine Learning techniques using XLMiner. Project reports are thus presented in PDF format.

• Predicting Next Month views for BBC Project assigned by Head of Data Science for BBC - Gabriel Straub. Performed customer segmentation analysis using clustering. Then predicted next month viewer metrics using logistic regression. [Clustering, Logistic Regression]

• Estimating Lending Club Probability of Default Project estimating proability of default in a loan dataset. Cleaned data and used a logistic regression to locate bloans with best returns. [Interaction Terms, PCA, Logistic Regression]

• Predicting Risk of Cardiovascular Disease: Model determining whether a patient had cardiovascular disease based on patient data. The project focuses on analysing the trade-off between sensitivity and specificity, based on the costs of a wrong prediction. [Sentitivity Analysis, PCA, Logistic Regression]

Relevant CS Projects

• Twitter Sentiment Analysis Tool Tool which takes as input a twitter account, scrapes all of its tweets, and returns a distribution of the overall sentiment of the tweets. [Python, Sentiment Analysis]

• Mock Stock-trading Website Created a SQL database and flask-run website which together allow users to register, buy, and sell stocks with play money. [SQL, Python, Flask]