Victor Alex Yamaykin | Data Scientist at MERS Goodwill

Victor Alex Yamaykin

Data Scientist at MERS Goodwill

Based in STL (ancestral lands of Osage Nation, Otoe-Missouria, Illinois Confederacy, Quapaw, Ho-Chunk, Miami )

About

I'm a data viz and UX designer with a passion for discovering problems, uncovering insights, and helping people from different teams get on the same page about product solutions. I'm also an avid hiker, guitarist, and calligraphy enthusiast. Skills: Figma, Maze, RoboCorp, Python, HTML, CSS, JavaScript, Usability Tests, A/B Testing, User Interviews

Skills

Projects

Weekly Earthquake Map

The United States Geological Survey (USGS) is responsible for providing scientific data about natural hazards including earthquakes. The first set of data is the past week of earthquakes. There is a layer to demonstrate the relationship between tectonic plates and seismic activity.

Lo-fi Competitive Analysis

This analysis looked at which audio features are most popular in lo-fi music. I used the Spotify API to gather this list of features for each track and compared Spotify's playlist to three of the most popular lo-fi channels.

Global Internet Usage vs. Birth Rate in 2020

I combined three datasets from World Population Review to make a dashboard showing a bubble chart and map of internet usage. We find that higher income countries have higher internet usage and a lower birth rate.

Goodwill Production Goals Dashboard

Goodwill has daily, weekly, and monthly goals for each store to process donations into retail items. This dashboard displays the progress towards each goal on a 30-minute refresh.

Experience

2021 - 2023

Software Engineer / UX/UI Designer at SCHUNK

Morrisville, NC - On-site Designed proofs of concept in Figma and tested applications for teach pendants (tablet devices used to program robots for industrial automation). Collaborated with software developers using scrum-agile processes. Applied user interviews and competitive analysis results to make pivotal design decisions about layout and functionality. Conducted A/B testing in Maze usability surveys, which reduced time on task by 80%. Showcased concept designs, mockups, and prototypes to executive stakeholders in Denmark and Germany. Built configuration menu layout and loading screen interactions with HTML, CSS, and JavaScript.

2021

Data Analyst at National Council of Jewish Women

Optimized uploading membership information to their national database by developing Python scripts. Reduced data cleaning time by 75%.

2020 - 2021

Data Visualization Tutor at Trilogy Education Services

* Tutored over 20 students in Python, SQL, R, HTML/CSS, and JavaScript * Implemented personalized weekly emails to students using Google Apps Script * Improved student performance from C- to A average

2023 - Today

Data Analytics and Visualization Engineer

MERS / Goodwill · Full-time Jun 2023 - Present St Louis, Missouri, United States · On-site • Improved success rate of stores reaching their production goals by 8% in 2024 with automated production goals dashboards built in Power BI with SQL Server, Power Query, and DAX • Designed Power BI reports to track the donated goods retail stores and outlet salvage • Measured the overall success of online training courses from the Learning Management System (LMS)

Education

2021 - 2023

M.S. Applied Data Science at Syracuse

2019

Data Analytics Bootcamp | UNC

A 24-week intensive program focused on gaining analytical skills in Python, R, JavaScript, SQL, MongoDB, and Tableau.

2006 - 2010

Economics and International Studies at UNC