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Nike-Inc
Data Scientist
June 27, 2026 – Present
DataAISummit2024
January 2, 2024 – June 7, 2024
This repository contains code of Brickflow and SparkExpectations for DataAISummit2024
View Projectspark-expectations
July 2, 2023 – Present
A Python Library to support running data quality rules while the spark job is running⚡
View Projectbrickflow
July 2, 2023 – Present
Pythonic Programming Framework to orchestrate jobs in Databricks Workflow
View ProjectCultural Fit Analysis
The candidate's personal projects demonstrate a proactive approach to learning and building tools relevant to data science and engineering. The projects like 'brickflow' and 'spark-expectations' indicate an interest in developing robust, scalable data solutions, which aligns well with a data scientist role that often involves MLOps or data engineering aspects. The diversity of technologies (Python, Jinja, Dockerfile, Makefile, TypeScript, HTML, CSS, JavaScript) in personal projects suggests a broad technical curiosity, though the core focus remains on Python-based data tools. The current role as 'Data Scientist' at Nike-Inc further strengthens the alignment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.