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Data engineer with a background in software engineering.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
lab4-constraints
February 6, 2021 – February 14, 2021
lab4-constraints — GitHub repository
View Projectpipelines_with_airflow
October 21, 2019 – November 12, 2019
Automate and monitor data pipelines with Apache Airflow
View Projectsong-play-spark
September 5, 2019 – November 7, 2019
Creating a data lake of song-play activity extracted from logs files for a music streaming service by transforming the data using PySpark running on AWS EMR and storing the dimensional tables on AWS S3.
View Projectbetter_streets
September 2, 2019 – April 20, 2020
Making streets better by understanding the dangers they pose to pedestrians, cyclists and others.
View Projectsong-play-aws-redshift
August 19, 2019 – January 10, 2020
An ETL pipeline of user song play activity from raw JSON logs file stored S3 buckets to Redshift star schema using SQL and Python.
View Projectsong-play-nosql
July 23, 2019 – August 1, 2019
An analysis of songs played by a fictitious online music service using a no-sql database
View Projectsong-play
July 10, 2019 – July 24, 2019
An analysis of songs played by a fictitious online music service using a relational database
View Projectai-course
February 19, 2018 – April 11, 2023
An introductory course in artificial intelligence
View ProjectIntro_to_web_scraping_with_python
September 17, 2017 – October 21, 2019
A tutorial introduction to web scraping with python 3 using requests and BeautifulSoup.
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards data science and data engineering tasks, which aligns with a Data Scientist role. However, all projects are personal and lack team collaboration context. The absence of professional experience or education makes it difficult to assess cultural fit comprehensively. The diversity of projects indicates a willingness to explore different technologies and problem domains within data.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.