Clay Graham

Data Scientist

https://talent.gravityer.com/clay-graham

starter at https://katbot.ai Katbot is an AI-powered trading intelligence platform specializing in making trading recommendations

katbot.ai

Key Strengths

Experience with Python, a core language for Data Science.
Exposure to machine learning frameworks like PyTorch and Deeplearning4j.
Familiarity with data-related tools such as Jupyter Notebook.
Experience in a Data Scientist role at katbot.ai, indicating direct relevance to the target role.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects show a diverse interest in various technologies (Python, Java, Scala, JavaScript, Shell, Docker) and domains (cloud infrastructure, serverless, AI agents, blockchain). This breadth suggests adaptability and a willingness to explore different areas, which can be a positive for cultural fit in dynamic environments. However, the descriptions are brief, making it difficult to gauge depth of engagement or collaborative aspects. The current role as 'Data Scientist' aligns directly with the target role.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

loom-tty-ide

May 8, 2026 – Present

The next IDE for companion coding

View Project

katbotai-openclaw

March 1, 2026 – Present

The Katbot Agent Configuration for Open Claw Agents

View Project

xrpl-poc-python

August 22, 2022 – June 2, 2023

Durable payment requests that can automate back end creation of Xumm payloads

View Project

deeporb-generator-pytorch

August 9, 2020 – June 3, 2021

the deeporb generator built in pytorch

View Project

serverless-cognito-api

January 19, 2019 – January 20, 2019

an example of using a cognito authorizer for an api gateway with a serverless pattern

View Project

boto3-cloudformation

April 4, 2017 – April 5, 2017

boto3-cloudformation — repository

View Project

jupyter-dl4j-scala-wisphc

October 30, 2016 – October 30, 2016

ready to go docker image with jupyter, scala, deeplearning4j and highcharts integrated

View Project

blueweave

September 25, 2016 – October 2, 2016

Guava Enabled Recurrent Sequence Classification Networks in Java

View Project

docker-centos6-cloudera-5-3-1

April 3, 2015 – April 6, 2015

docker-centos6-cloudera-5-3-1

View Project

welocally-places-developer

April 14, 2012 – December 8, 2012

jQuery Based Plugins For Places Development

View Project

Key Strengths

Experience with Python, a core language for Data Science.
Exposure to machine learning frameworks like PyTorch and Deeplearning4j.
Familiarity with data-related tools such as Jupyter Notebook.
Experience in a Data Scientist role at katbot.ai, indicating direct relevance to the target role.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

Clay Graham

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit