Samuel Boakye Danquah

• Utilized AWS services such as Amazon EMR and Amazon Redshift for big data processing and data warehousing, using Python libraries to interact with these services and perform data analysis.

• Implemented data pipelines using AWS Glue or AWS Data Pipeline, using Python to extract, transform, and load (ETL) data into the desired format and destination.

• Used Apache Spark and PySpark to perform data processing and analysis on large datasets, using Python for scripting and interacting with these tools.

• Developed visualizations and dashboards using Python libraries such as Matplotlib as well as tools such as Tableau or AWS QuickSight to provide insights and communicate results.

• Utilized machine learning algorithms and libraries in Python, such as scikit-learn or TensorFlow, to build predictive models and perform classification, regression, or clustering tasks.

• Implemented data security and compliance measures using AWS services such as AWS KMS or AWS IAM to protect sensitive data and ensure regulatory compliance, using Python code to interface with these services and implement security measures.

• Provided training to over 1,300 servicemembers on combat lifesaving interventions, which involved developing and delivering training materials, coordinating with instructors, and evaluating the effectiveness of the training.
• Supported COVID-19 vaccinations and administration, including managing vaccine inventory, coordinating with healthcare providers, and ensuring compliance with relevant regulations and guidelines.
• Tracked and managing medical inventory using Microsoft Excel, which involved creating and updating spreadsheets, conducting regular audits, and identifying and addressing any discrepancies.
• Managed $1.2 million in medical inventory, reducing waste by 20%.
• Provided patient families with post-medical care instructions, including explaining treatment plans, answering questions, and ensuring that patients had the resources they needed to recover.
• Assessed medical conditions of patients in pre-hospital settings, which involved evaluating patients' vital signs, conducting diagnostic tests, and making recommendations for treatment.
• Led a team of medical professionals, including setting performance goals, conducting regular evaluations, and providing coaching and support as needed.
• Analyzed medical data to identify trends and opportunities for improvement, such as identifying areas where training could be enhanced or where inventory management processes could be streamlined.

• Handled repair work and maintenance to keep vehicles functional, which involved assigning tasks to technicians, monitoring progress, and ensuring that repairs were completed on time and within budget.
• Assessed vehicles to identify the degree of malfunction or damage, which involved conducting diagnostic tests, analyzing results, and making recommendations for repairs or replacements as needed.
• Coordinated and oversaw vehicle modification process, which involved working with third-party vendors and technicians to design and install modifications, such as custom paint jobs, audio systems, and lighting.
• Implemented tracking systems to monitor parts inventory and transactions, which involved creating and maintaining spreadsheets, conducting regular audits, and identifying and addressing any discrepancies.
• Analyzed vehicle data using advanced diagnostic equipment, such as OBD scanners and computerized testing systems, which allowed me to identify potential issues before they became major problems and make recommendations for preventive maintenance.

• Worked extensively with CSS to create visually appealing layouts and designs.

• Experience with database management through the use of
  MongoDB. This NoSQL database has enabled me to develop
  applications that can handle large amounts of data in a highly
  efficient manner.
  
• Developed skills in scripting and automation using Python, which
  has allowed me to streamline various tasks and improve overall
  efficiency in my work