Ivan Trusov
Data ScientistSolutions Architect @ Databricks
databricks
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Solutions Architect @ Databricks
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
databricks
Data Scientist
June 22, 2026 – Present
ai-dev-kit
December 17, 2025 – Present
Databricks Toolkit for Coding Agents provided by Field Engineering
View Projectchatten
February 6, 2025 – April 29, 2025
RAG application (backend & frontend) with sources retriveal and highlighting on the Databricks Platform
View Projectterrametria
November 4, 2024 – June 10, 2025
Source code 3D population density map of Germany, with ETL and app logic on top the Databricks Platform.
View Projectpyspark-logging-examples
June 11, 2022 – June 13, 2022
Writing PySpark logs in Apache Spark and Databricks
View Projectdatabricks-uc-semantic-layer
June 2, 2022 – December 3, 2025
Using OpenAI with Databricks SQL for queries in natural language
View Projectdatabricks-streamlit-demo
June 28, 2021 – November 3, 2022
Demo of Streamlit application with Databricks SQL Endpoint
View Projectnexus_pypi_repo_example
October 3, 2018 – October 3, 2018
Nexus + PyPi repository setup and usage example
View ProjectCultural Fit Analysis
The candidate's projects show a strong alignment with modern data science and MLOps practices, particularly within the Databricks ecosystem. The diversity of projects, ranging from RAG applications to 3D population density maps, indicates a broad interest and adaptability, which could contribute positively to a dynamic team environment. The current role as 'Data Scientist' at Databricks further strengthens the cultural fit, suggesting familiarity with the company's tools and methodologies. However, the lack of formal education or certifications makes it difficult to assess foundational academic rigor or structured learning preferences.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive and hands-on approach to learning and problem-solving. The variety of personal projects suggests self-motivation and an ability to work independently. However, without psychometric test results or interview data, it is difficult to assess specific soft skills like teamwork, stress handling, or communication clarity in a professional setting.