Name: Pattanan Stanescki (Bowie)
Type: User
Company: U.S. Air Force Reserve
Bio: MSBA student and finance professional aiming to improve data analytics skills.Familiar with using Python, R, Machine Learning, and SQL.
Location: WA
Blog: https://www.linkedin.com/in/pattanan-stanescki/
Pattanan Stanescki (Bowie)'s Projects
Build and evaluate several machine-learning models to predict credit risk using free data from LendingClub.
Apply natural language processing to understand the sentiment in the latest news articles featuring Bitcoin and Ethereum.
Develop a private test net to explore potentials for blockchain by setting up the custom out-of-the-box blockchain using the Proof of Authority algorithm, and send a test transaction on MyCrypto application.
Focusing on using APIs as part of the technical solution and to create two financial analysis tools.
Using a Python script to analyze the financial records of the provided budget dataset.
Create a tool using Pandas-Python (an analysis notebook) that analyzes and visualizes the major metrics of the portfolios across all of these areas, and determine which portfolio outperformed the others.
The purpose of our project was to build a RoboAdvisor using AWS Lex that helps prospective homebuyers find their dream home in Austin, Texas. This to will act as mix of a mortgage calculator and a real estate website such as Zillow or Redfin.
Shoot for the Stars - the analysis of data using Python, Pandas, and Data Visualization
Build Financial Robo Advisor from the combination of unsupervised machine learning and the AWS services.
This repository is to represent the projects/assignments that I created as part of FinTech Bootcamp (University of Washington & Trilogy School)
In this assignment, I was asked to analyze two data files and generate a dashboard of interactive visualizations to represent the rental analysis of San Francisco from 2010 to 2016
Using Time-Series Forecasting and Linear Regression Modeling to predict future movements of the Japanese yen versus the U.S. dollar.