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Principal ML Engineer in Eli Lilly
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Eli Lilly
Data Scientist
June 12, 2026 – Present
pytorch_lightning_full_recap
December 19, 2025 – Present
full recap of pytorch lightning taught by sebastian rashcka
View Projecteducative_ds-and-algorithms-in-python
October 19, 2025 – Present
ds-and-algorithms-in-python from educative.io
View Projectlanggraph_fastapi
April 19, 2025 – April 19, 2025
framework for langgraph and fastapi and streamlit
View ProjectSchool_of_AI_ERA
February 1, 2024 – April 5, 2024
Courses Materials and Notebooks used in the ERAV2
View Projectcomposite_actions
May 29, 2023 – May 31, 2023
repo to explain composite actions in githuba ctions course
View Projectadvanced_github_actions
May 29, 2023 – May 31, 2023
Advance github actions course from linkedin
View Projectpython-app-cicd
May 26, 2023 – May 26, 2023
Python app tutorial to study how to build cicd pipelines
View Projectgithub-actions-basic
May 21, 2023 – May 24, 2023
github-actions-basic — GitHub repository
View Projectflask_tutorial_dgocean
May 18, 2023 – May 18, 2023
flask_tutorial_dgocean — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic, indicating a self-driven learning approach. The breadth of skills includes data science tools, but also significant focus on DevOps/CI/CD, which might indicate a broader interest beyond pure Data Scientist role. The single listed professional experience as 'Data Scientist' at Eli Lilly is marked as current with a future start date (2026-06-12), which is unusual and requires clarification. This makes it difficult to assess current professional alignment and cultural fit based on actual work experience.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, providing no insight.