• Facilitated communication with external vendors for incoming and outgoing data, concurrently collaborating with the IT department to perform security risk assessments, ensuring data integrity and compliance.• Efficiently managed, processed, transferred, and ingested data by leveraging Amazon Web Services, specifically S3 buckets, overseeing both internal and external data transfers between the company and other vendors through AWS infrastructure.• Utilized R and Python skills to enhance effective data management, incorporating expertise in REST API and AWS CLI to interact with systems and optimize data processes for efficient flow• Ensured accurate, comprehensive, and timely collection, delivery, and tracking of data from translational, CRO, or collaborating laboratories, facilitating curation and ingestion processes• Applied experience in managing, processing, and implementing quality control metrics for diverse data types, supporting Research and Early Development (R&ED) through effective data management practices.• Successfully oversaw simultaneous projects, including security reviews, data transfers, and improvements in data management practices.

• Utilized R/Python to mine & analyze complex biological data sets, applying advanced statistical analysis and machine learning techniques to uncover hidden patterns & insights, resulting in optimized project outcomes.• Developed and deployed customized data pipelines for specific research projects, streamlining large-scale data analysis, and creating visually appealing and interactive web applications using R Shiny.• Analyzed diverse biological data types (e.g. genomics, transcriptomics, proteomics, metabolomics) to provide valuable insights and recommendations, contributing significantly to the success of in-house research efforts.• Initiated the extraction, transformation, and loading of open-source Big Data, while also engineering and editing features for machine learning algorithms to improve performance, ultimately resulting in successful app development and deployment on AWS and RStudio Connect.

• Led curriculum and content creation - including research, design, and management for new STEM courses, following a 20% increase in student enrollment within 2 years• Collaborating with teachers and department heads to meet quarterly and yearly educational goals

• Presented student growth through meetings with students and/or parents every semester, creating tailored lesson plans to help reach student's goals and graduation• Created monthly status reports based on in-depth student evaluations while improving lagging skills and correcting weaknesses