Yana Veitsman

Data Scientist

https://talent.gravityer.com/yana-veitsman

was a software dev educated by academia and raised by a consultant but now just another curious and partially clueless phd student

Member since June 28, 2026

Key Strengths

Demonstrated experience with Python for various data science and machine learning projects.
Exposure to Natural Language Processing (NLP) through projects like 'align-toxicity', 'prompts-for-scripts', 'social-media-generator', and 'movie-class'.
Experience with Jupyter Notebook for data exploration and model development.
Familiarity with web development technologies (Flask, Angular, HTML, CSS, JavaScript) which can be beneficial for deploying ML models or building data visualization tools.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong inclination towards personal projects, including hackathon participation ('iamhome'). This suggests a proactive and self-driven individual. The diversity of projects, from utility reporting to cybersecurity and LLM evaluation, indicates a broad interest in applying data science to different domains. However, the lack of professional experience or team-based projects (beyond 'Group 7 mini-project') makes it difficult to fully assess cultural fit in a corporate environment.

Soft Skills & Operational Fit

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

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Assessing your cultural and operational fit

Projects

party-drink-menu-mobile

July 10, 2025 – Present

party-drink-menu-mobile — GitHub repository

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yan-vei.github.io

May 24, 2025 – Present

yan-vei.github.io — GitHub repository

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always_a_transformer

November 9, 2024 – Present

always_a_transformer — GitHub repository

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align-toxicity

October 4, 2024 – October 20, 2024

Repository with the code for assessing LLM's capabilities as hate speech zero- and few shot annotators.

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movie-class

September 10, 2024 – September 10, 2024

Playground for BertClassifier.

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prompts-for-scripts

July 24, 2024 – September 30, 2024

Checking how cross-lingual soft prompt transfer works on different scripts.

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bosch-app

July 13, 2024 – July 13, 2024

Group 7 mini-project for the Data Science course (Summer 2024) at UdS.

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social-media-generator

September 27, 2022 – December 12, 2022

A Flask-based web application with the UI built in Angular for generation of tweets using NLP algorithms.

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iamhome

September 14, 2021 – October 7, 2021

Skill IAmHome for Yandex.Alisa was developed by the team camelCase for the online hackathon. It is capable of filing and checking reports about problems with public utilities in Saint-Petersburg, Russia.

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cybersecurity

May 12, 2021 – May 22, 2021

Final Cybersecurity ML project of Marc Mestre and Yana Veitsman for Data Mining and Machine Learning course at University of Valencia, Spring 2021

View Project

Key Strengths

Demonstrated experience with Python for various data science and machine learning projects.
Exposure to Natural Language Processing (NLP) through projects like 'align-toxicity', 'prompts-for-scripts', 'social-media-generator', and 'movie-class'.
Experience with Jupyter Notebook for data exploration and model development.
Familiarity with web development technologies (Flask, Angular, HTML, CSS, JavaScript) which can be beneficial for deploying ML models or building data visualization tools.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

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

Yana Veitsman

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit