Ari Dyckovsky | OpenTalent | OpenTalent

Ari Dyckovsky

Ari Dyckovsky

Data Scientist

https://www.opentalent.in/ari-dyckovsky

Building @scenesystems

scenesystems

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Brooklyn, NYMember since June 24, 2026

https://www.opentalent.in/ari-dyckovsky

Top Skills

RtypescriptJavaScriptShellPythonJupyter NotebookMakefileTeXHTMLCSS

Skills

RtypescriptJavaScriptShellPythonJupyter NotebookMakefileTeXHTMLCSS

Experience

scenesystems

Data Scientist

June 24, 2026 – Present

Projects

effect-migrate

November 4, 2025 – November 9, 2025

TypeScript migration toolkit for adopting Effect with Amp coding agents

cee-model

December 4, 2024 – December 5, 2024

cee-model — GitHub repository

nsf-grfp-annual-report-summary

April 14, 2024 – April 14, 2024

Overleaf sync for NSF GRFP annual report summaries in LaTeX

cv

October 6, 2023 – October 4, 2024

A versioned CV generator using LaTeX, VS Code extensions, and GitHub Actions

r-project-template

February 26, 2021 – May 18, 2021

A template to start R projects with R Studio, using version control via Git and GitHub by default.

validate-recaptcha-lambda

November 18, 2020 – November 18, 2020

Serverless validation of reCAPTCHA v3 responses via AWS Lambda

lineTask-aws

October 1, 2020 – October 5, 2020

lineTask-aws — GitHub repository

asfpy

September 25, 2020 – October 10, 2024

A collection of Python scripts for the Application Statement Feedback Program's logistics needs

typeset

April 29, 2020 – May 18, 2020

Boilerplate for LaTeX2e + BibLaTeX with automated build scripts

coaffect

January 20, 2018 – May 24, 2018

Computational models of collective emotional dynamics

Key Strengths

Experience with Python and Jupyter Notebook for data-related projects.
Familiarity with various scripting and automation tools (Shell, Makefile).
Exposure to version control (Git/GitHub) and LaTeX for documentation.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and academic in nature, demonstrating initiative and a focus on tooling and automation. However, the diversity of projects specifically aligned with a 'Data Scientist' role is limited, and the current experience shows a future start date, making it difficult to assess real-world application of data science skills in a professional team setting. The technologies used are relevant but the depth of application is not clear from project descriptions.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.