Create and develop complex reports and perform data modeling and analysis according to business needs.

Develop Data Science opportunities and identify opportunities to use data science to create customer value.

Closely collaborate with developer teams to integrate data analysis into production and operation systems.

Worked on the development of a startup platform providing free online Therapy and Psychiatry to eligible Medicaid patients.

Built the platform on the patient as well as the clinician side. Some features I've worked on include appointment scheduling, video calling, note taking, and more.

Developed the platform using Django-React on AWS.

Worked on data analytics projects, web scraping, and solved sophisticated company-wide challenges using different disciplines of AI such as NLP and ML.

Managed AI development and production infrastructure for different companies.

Built AI models from scratch, creating and deploying machine learning algorithms.

Developed software solutions for storage and access of Petabyte scale data used for demand forecasting in SCOT. Configured and visited various warehouses to launch them into production.

Used advanced Java (lambdas, streams, parallel computing) to implement services from scratch to provide record-level results from databases in a specified format.

Implemented extensive automated testing for all code written to ensure the high quality results. Implemented algorithm responsible for package sorting and sorter lane load balancing in Amazon Warehouses around the world.

Designed, implemented, and tested an automatic email notification software program in Python that collects and reports donation metrics to charities associated with AmazonSmile. Followed Scrum methodology throughout the project.

Extracted data from Data Warehouse for processing, using technology such as Matplotlib to visualize it in the form of customizable graphs.

Closely collaborated with specialists to deliver a high-quality customer-facing product.

Set up necessary material for classes in Data Structures and Analysis, reviewing material taught in class.

Designed and implemented a classroom system and worked closely with the lead teacher to identify issues.

Teaching and mentoring individual students when needed.