Engineering with Simplicity for Scale!
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
druid-local
October 26, 2020 – October 26, 2020
Hackathon for adopting Druid Helm chart to run locally and test on the Wikipedia dataset.
View Projectowl-data-sanitizer
April 17, 2020 – November 11, 2022
A pyspark lib to validate data quality
View Projectnotebook-cicd
August 26, 2019 – September 9, 2019
Play project to investigate how to implement ci/cd for self-contained notebooks
View Projectkafka-connect-example
August 12, 2019 – October 4, 2023
kafka-connect-example — GitHub repository
View Projectdocker_react
April 19, 2019 – April 19, 2019
Sample docker react application - in use for learnings of udemy course
View ProjectCultural Fit Analysis
The candidate demonstrates a proactive learning attitude through various personal projects exploring different technologies (Go, Python, Shell, Docker, Kafka, Druid). However, the projects are primarily personal and lack detailed descriptions of team collaboration or impact, making a comprehensive cultural fit assessment challenging. The breadth of technologies suggests curiosity, but the depth of engagement in each is unclear. The target role is 'Data Scientist', and while Python and Jupyter Notebooks are relevant, the overall project portfolio is quite diverse and not singularly focused on advanced data science methodologies or machine learning applications.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are brief, limiting insight into collaboration or problem-solving approaches.