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ai_pm

A capstone project for a nanodegree program. Project is explained is proposal. Includes Product sketch, business goals, success metrics, data, model, MVP, and Post-MVP deployment

algorithms

Various algorithms I have implemented and studied

cloud-developer

content for Udacity's cloud developer nanodegree

data-structures

Various data structure project implementations

datacleanemployeeexitsurveys

Working with Australia's Department of Education, Training and Employment (DETE) and the Technical and Further Education (TAFE) Institute, clean the data from the two exit surveys. Then, merge the two data sets and perform some initial analysis on employee dissatisfcation

demand_forecast_kit

I wanted to store and organize my demand forecasting kit in one area

explore-with-postman

Various materials for Exploratory API Testing with Postman workshops

github-demo

A simple demo repository to show basic Git workflow

image-filter

Project

linux_bash_scripts

Various Bash scripts that I have written

oracle_sql_developer

profitableappsprofile

The premise of this project is one works as a data analyst at a company that builds Android and iOS mobile apps that are then made avaialble on their respective app stores.We will need to analyze two separate datasets (the Google Play and Apple Store sets), filter by price and language, then scan the categories. We will then reconcile business needs with the results of the project.

pytest-api-testing

pytest_selenium_simple

python_recursion

Collection of my various recursion scripts

remote_origin

selenium_templates

A collection of selenium tests to re-use and modify based on need

shorttermrentalanalysis

Using scraped data, analyze the short term rental market in Phoenix. Clean and downsize data in jupyter. Analyze and present in Tableau Public. Link to Tableau Public is https://public.tableau.com/profile/daniel.chiriaev#!/vizhome/GreaterPhoenixAreaShort-TermRentalAnalysis/ExecutivePresentation

uk_bank_customer_viz

A fictional data set of a fictional bank is segmented and visualized. Impacts are better understanding of customers across demographics and geographies. Further impacts is better tailoring and positioning of products based on demographics and geographies of customers.

visualizingmissingdata

Using Python's little know package called missinno, find the needle in the haystack AKA find missing data in the dataset.