Dash Desai

Data Scientist

https://talent.gravityer.com/dash-desai

Principal Developer Advocate @ Snowflake | AWS Machine Learning Specialty

Snowflake

Key Strengths

Extensive hands-on experience with Snowflake ecosystem, including Snowpark for Python.
Demonstrated proficiency in Python for data engineering and machine learning tasks.
Experience with Jupyter Notebooks for data exploration and model development.
Familiarity with dbt for data transformation and constraint generation.
Current role as Data Scientist at Snowflake indicates strong domain alignment.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are heavily focused on Snowflake-specific technologies and tutorials, indicating a strong alignment with Snowflake's ecosystem. While this shows deep expertise in a particular area, it also suggests a potential lack of diversity in experience with other platforms or tools, which might impact adaptability in a broader data science context. The current role at Snowflake further reinforces this specialized focus.

Soft Skills & Operational Fit

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

AI is analyzing your overall score…

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

orchestration-framework

September 18, 2024 – July 2, 2025

A multi-agent framework with native support for Snowflake services

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snowflake-arctic

April 22, 2024 – August 16, 2024

snowflake-arctic — repository

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snowflake-demo-notebooks

April 1, 2024 – Present

Collection of Snowflake Notebook demos, tutorials, and examples

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snowpark-python-template

March 15, 2023 – October 23, 2023

Python project template for Snowpark development

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sfguide-getting-started-dataengineering-ml-snowpark-python

February 1, 2023 – January 1, 2025

sfguide-getting-started-dataengineering-ml-snowpark-python — repository

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sfguide-getting-started-machine-learning

October 25, 2022 – November 17, 2025

sfguide-getting-started-machine-learning — repository

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snowpark-python-demos

May 26, 2022 – November 17, 2025

This repository provides various demos/examples of using Snowpark for Python.

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dbt_constraints

March 17, 2022 – Present

This package generates database constraints based on the tests in a dbt project

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sf-samples

August 4, 2021 – Present

Sample files, code snippets and downloads for Snowflake labs and tutorials.

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sfquickstarts

September 4, 2020 – Present

Follow along with our tutorials to get you up and running with Snowflake.

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Key Strengths

Extensive hands-on experience with Snowflake ecosystem, including Snowpark for Python.
Demonstrated proficiency in Python for data engineering and machine learning tasks.
Experience with Jupyter Notebooks for data exploration and model development.
Familiarity with dbt for data transformation and constraint generation.
Current role as Data Scientist at Snowflake indicates strong domain alignment.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

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

Dash Desai

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit