Alex

Data Scientist

https://talent.gravityer.com/alex-3

AI Engineer / Software Engineer · Tempe, AZ

Phoenix, AzerbaijanMember since June 22, 2026

Key Strengths

Demonstrated proficiency in Python, a core language for Data Science.
Experience with Jupyter Notebook, essential for data exploration and model development.
Projects related to NLP (e.g., 'nlp-playground', 'llm-conversation-semantic-search-demo', 'PII-filter-LLM-chrome-extension') indicate a strong interest and foundational knowledge in a key Data Science sub-field.
Exposure to SQL challenges ('8-week-SQL-challenge-postgres') suggests an understanding of data querying, crucial for data scientists.
Projects like 'credit_agg_scoring_platform' and 'event-planner-topic-modeling' show practical application of data analysis and machine learning concepts.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and demonstrate a strong self-starter attitude and passion for learning new technologies, which can be a positive cultural fit. However, the lack of team-based projects or professional experience makes it difficult to fully assess collaboration and broader cultural alignment. The projects are diverse in technology but consistently lean towards data science and AI, aligning 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

PII-filter-LLM-chrome-extension

June 12, 2026 – Present

PII-filter-LLM-chrome-extension — GitHub repository

View Project

cis-515-face-id-asu

April 29, 2026 – Present

cis-515-face-id-asu — GitHub repository

View Project

portable-memory-wallet

March 12, 2026 – Present

portable-memory-wallet — GitHub repository

View Project

credit_agg_scoring_platform

February 28, 2026 – Present

credit_agg_scoring_platform — GitHub repository

View Project

event-planner-topic-modeling

February 19, 2026 – Present

event-planner-topic-modeling — GitHub repository

View Project

serverless-ai-slack-bot

February 17, 2026 – Present

serverless-ai-slack-bot — GitHub repository

View Project

llm-conversation-semantic-search-demo

February 12, 2026 – Present

llm-conversation-semantic-search-demo — GitHub repository

View Project

nlp-playground

February 5, 2026 – Present

nlp-playground — GitHub repository

View Project

8-week-SQL-challenge-postgres

December 24, 2025 – Present

8-week-SQL-challenge-postgres — GitHub repository

View Project

dwh-gatekeeper

November 23, 2025 – November 27, 2025

dwh-gatekeeper — GitHub repository

View Project

Key Strengths

Demonstrated proficiency in Python, a core language for Data Science.
Experience with Jupyter Notebook, essential for data exploration and model development.
Projects related to NLP (e.g., 'nlp-playground', 'llm-conversation-semantic-search-demo', 'PII-filter-LLM-chrome-extension') indicate a strong interest and foundational knowledge in a key Data Science sub-field.
Exposure to SQL challenges ('8-week-SQL-challenge-postgres') suggests an understanding of data querying, crucial for data scientists.
Projects like 'credit_agg_scoring_platform' and 'event-planner-topic-modeling' show practical application of data analysis and machine learning concepts.

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.

Alex

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit