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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
eda_and_forcasting
September 1, 2024 – September 1, 2024
eda_and_forcasting — GitHub repository
View Projectdata_pipeline_weather_analytics
June 22, 2024 – June 22, 2024
Explore weather data pipelines with Airflow, Spark, Delta Lake, dbt, Jupyter Notebooks, Apache Druid, and Superset. Automate workflows, process data at scale, transform with dbt, analyze in Jupyter, visualize with Druid and Superset. Ideal for advanced data engineering and analytics enthusiasts.
View Projectvertex_pipeline_wine_quality_usecase
May 16, 2022 – May 17, 2022
medium blog code for GCP Vertex AI Pipeline in Action
View Projectautomate_creating_e-certificate_with_dynamic_names
December 19, 2020 – December 31, 2020
automate_creating_e-certificate_with_dynamic_names
View Projectfileupload-flask-api_cloudrun
August 29, 2020 – December 29, 2020
fileupload-flask-api_cloudrun — GitHub repository
View Projectbest-nifty-index-mutual-funds
May 2, 2020 – May 3, 2020
Web Scrapping of Best Nifty Index Mutual Fund
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards personal learning and exploration across various data science and engineering domains. The diversity of tools and platforms (GCP, Azure, Airflow, Spark) suggests adaptability and a willingness to learn new technologies. However, the lack of team-based projects or contributions makes it difficult to assess collaboration or cultural alignment in a professional setting. The focus on personal projects, while demonstrating initiative, does not provide insight into working within an organizational structure or contributing to a shared codebase.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The psychometric test score is 0, providing no insights.