Solomon Itany Email & Phone Number

Atlanta, Georgia, United States

• Orchestrated the deployment of Amazon EC2 instances and skillfully managed S3 storage, customizing instances for specific applications and Linux distributions.
• Offered expert insights on AWS system architecture, implementing rigorous security measures and protocols to safeguard vital assets and ensure compliance.
• Optimized data processing using Amazon EMR and EC2, enhancing system performance and scalability.
• Designed and fine-tuned data processing workflows utilizing AWS services like Amazon EMR and Kinesis, ensuring efficient data analysis.
• Leveraged AWS Glue for data cleaning and preprocessing, performed real-time analysis using Amazon Kinesis Data Analytics, and harnessed services like EMR, Redshift, DynamoDB, and Lambda for scalable data processing.
• Implemented robust data governance and security protocols through AWS IAM, ensuring protection of sensitive data.

Cranberry Twp, Pennsylvania

• Cleaned and manipulated 40M+ Medicare Members dataset using Python, resulting in a 30% increase in data accuracy.
• Developed comprehensive machine learning models utilizing advanced techniques such as XGboost, and ensemble learning to predict clients' medication adherence risk levels with an impressive accuracy rate of ~90%.
• Utilized advanced data analysis techniques to identify key factors impacting CVS's STAR ratings, leading to the implementation of targeted interventions that led to a 10% increase in overall rating scores.
• Conducted extensive data mining and statistical analysis to identify key factors influencing medication adherence, resulting in the development of targeted outreach methods predicted to improve patient compliance by 15%.
• Worked on publishing Power BI reports on dashboards in Power BI server.
• Worked with both live and import data into Power BI for creating reports.

Kampala, Uganda

• Collected and integrate data from various sources, ensuring accuracy and consistency.
• Managed databases and data systems, including fixing coding errors and other data-related problems.
• Performed detailed data analysis to identify trends, patterns, and insights that can help in decision-making processes.
• Generated regular reports and ad-hoc analyses to present to management, highlighting key findings and recommendations
• Developed statistical models to forecast future trends and provided insights that support business objectives.
• Used predictive modelling to increase and optimized customer experiences, revenue generation, ad targeting, and other business outcomes.