EARSHADUL KABIR

NASA HQ ODEO – 08/2022 – PRESENT

• Work on a team of eight data scientists and data engineers to create an Enterprise Data Platform (EDP)
• Create CI/CD pipeline and aggregate data from API calls
• Develop data processing and analysis algorithms using python
• Utilize advanced querying, visualization and analytics tools to analyze and process complex data sets
• Develop and refine new analytic capabilities
• Develop and maintain web portals for data sharing and data visualization
• Provide in-depth reporting and recommendations based on analysis

AEROSPACE FINANCIAL DASHBOARD – 03/2022 – 08/2022

• Extract data and store it in a local machine.
• Use Python to transform the CSV files into Parquet files so the data is compressed, which will result in less data being processed and will be more cost effective.
• Use AWS CLI and AWS CDK via Visual Studios to create AWS S3 buckets and upload the data (both CSV and Parquet) to their respective buckets.
• Use AWS Toolkit from Visual Studios to confirm buckets were created and the files were uploaded.
• Use AWS Glue client to create a database, create a crawler, and crawl through the Parquet files to create tables.
• Use AWS Athena client to join tables and perform queries.
• Use AWS QuickSight and Tableau to visualize the results.

• Extract and clean data using Excel and Tableau.
• Work across sales and marketing teams to build dashboards using Tableau to provide real time insight on business KPIs.
• Obtain historical data, clean and prep data using RStudio, and build forecasting models.
• Lead a team of seven East Coast consultants and train new hires.
• Hold daily stand-up meeting to discuss tasks completed and tasks that need to be completed.
• Address issues that may arise within the team and remove any impediments.