Heta Shah's repositories
Aggregated-Analysis-of-ClinicalTrials.gov
Aggregated Analysis of ClinicalTrials.gov (AACT) publicly available database is imported into a PostgreSQL database for Cancer Research Analysis. This database contains more than 40 relations, each having millions of records. Complex pSQL queries are used to communicate with the PostgreSQL database using pgAdmin 4. Answers related to cancer trials, related adverse events and outcomes, result of intervention study, etc. are answered. The analyses is concluded by visualizing the key points using Tableau.
Kings-County-Housing-Data-Regression
Summer is the best season in the real estate market and housing prices vary based on a number of features. Data from 2 such Summers is taken about the Kings County Housing Prices. Two Jupyter Notebooks depicting the various Regression models is used to depict how the number of bedrooms, waterfront location, total area in square feet, etc. affect the housing prices. Machine Learning with Python is used throughout the course of the project. Jupyter Notebooks give complete detail of implementation.
SQL-Sequel
SQL Practice from different platforms
College-Lookup-using-PythonFlask
A college locator is developed using Python Flask and HTML templates for ChangingThePresent.org
Hello-Tableau
A collection of Tableau workbooks including features ranging from basic to more advanced levels
metriks
Python package of commonly used metrics for evaluating information retrieval models.
US-Cities-Population
Census Data from 20 years is used for the analysis of the Population Growth in US Cities. The data is taken from a non-formatted CSV file, formatted using Python scripting, and visualized using MS Power BI to depict the population growth trend.
Wooldridge-CPS91-Econometric-Analysis
Data about 5,634 married women (out of which 3,286 are reported being in the labor force) is taken from the Wooldridge Current Population Survey (CPS91) Database for Wage/Income analysis. There are 24 variables that give information about married women, their husbands, their demographics, if they belong to any unions, or are a part of labor forces, whether they have kids, etc. This data is used to get an estimate of the standard wages equation of women using the Ordinary Least Square (OLS) method a.k.a. Linear Regression. The education level, years of experience, race, ethnicity are the independent variables (predictors) that drive the behavior of the dependent variable - income.
Predactica
This demo of an AI-based Virtual Analyst (AIVA) was developed for Predactica.com as a part of my Digital Consulting Capstone Project. Predactica is an AI-powered startup that provides business solutions to its clients. More about Predactica here: https://www.predactica.com/ . The Chatbot was intended to enhance customer experience (CX) by interactively answering user queries regarding Drug Refilling, Prescriptions, etc. The bot is featured on their website officially (with a few UI upgrades).
Predactica-UTD
Digital Consulting Project - POCs for Predactica's ML/CX Platforms
US-Crime-Rate-Visual-Analytics
With the data used in this project, the aim was to answer one major question: Is US a better place to live in? If so, what is the Life Expectancy? How about the GDP? And what does the Crime Rate look like? Well, all these questions are answered with the help of Analysis using MS Excel and Tableau.