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Hana Dinh

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About Me

Hi there!

I’m a senior studying in Computer Science & Business (CSB) honors program, with a minor in Data Science at Lehigh University. I am originally from Saigon, Vietnam and I came over to the US to study abroad during my 11th grade. I previously had a software engineering internship at Credit Karma. Besides that, I have been a TA throughout my time at Lehigh.

Portfolio

Performance of U.S. Congressional Insider Trades Dashboard

This interactive dashboard provides insights into the performance of U.S. congressional trades, allowing users to search for specific members of Congress and view their performance and trading activities. The dashboard also includes interactive visualizations of trading volumes, returns, and other key metrics to help users understand the impact of insider trading on stock prices and market performance.

Natural language processing 10-Ks to predict stock returns

Natural language processing is a powerful tool for analyzing financial documents like 10-K forms, which provide insights into a company’s financial performance and prospects. These annual reports mandated by the SEC can be cumbersome to parse manually. However, through sentiment analysis, investors can swiftly gauge the overall tone of the report, whether positive, negative, or indicative of legal risks, to make more informed investment decisions.

Ames Housing Sales Analysis

This repository contains an analysis of housing sales data in Ames, Iowa, aimed at understanding the factors influencing house prices. The dataset covers a period from 2006 to 2008 and includes various features related to the properties sold, such as lot area, number of rooms, quality ratings, and sale prices.

Analysis of Patent-Level Research and Technology (RETech) Data

This repository contains code and data for analyzing patent-level Research and Technology (RETech) trends over time. The analysis focuses on understanding industry-level patterns in patenting activities and technological innovation.

Visualizing Firm Portfolio Returns in Python

This repository contains code for analyzing and plotting various visualizations related to firm portfolio returns in 2020, including line plots, histograms, box plots, and scatter plots. The analysis aims to understand the performance of portfolios composed of firms with different levels of leverage and operating in various sectors and to master the art of visualizing financial data in Python.

Career Objectives

I have full-stack experience working in various technologies including:

My strongest programming languages are:

Feel free to contact me at hanadinhh@gmail.com!

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