Ryan Sequeira Email & Phone Number

United States

Bloomfield, CT, US

Boston, MA, US

• Benchmarked improvements from using LightGBM model in Quantitative Structure-Activity Relationship pipeline
• Implemented uncertainty prediction methods using developing methods from scientific literature
• Optimized cloud resources to be up to 5 times faster in training (AWS)

Atlanta, Georgia, US

• Developed Snowflake data pipeline for acute kidney injury (AKI) prediction
• Utilized R Scripts to perform exploratory analysis with Convolutional Neural Networks on AKI data

Managed executive planning team for national convention of scholars- Coordinated communication with over 900 students/staff at over 40 schools- Communicated plans with several leaders at Stamps-affiliated organizations- Arranged several keynote speaker events with industry/academic leaders- Directed multiple teams of hundreds of current students to.

Managed external communication/marketing team for the bi-annual Stamps Scholars National Convention- Developed and implemented a marketing plan towards 40+ schools with 600+ students/staff- Oversaw the development of the convention's website and app- Fostered internet presence through the use of several social networking sites

Atlanta, Georgia, US

Utilized health informatics and machine learning techniques to improve medical diagnosis techniques and quantitative health outcomes:- Developed a Computer Vision pipeline to preprocess, train, and implement a cancer detection classifier- Used Python packages and frameworks including Numpy, scikit-learn, and PyTorch- Created and published heart transplant.

Atlanta, Georgia, US

Cross applied a Genome-Wide Association Study (GWAS) based baldness prediction model to a large cohort of African genomes to analyze the efficacy of European based genomic models on African populations:- Used industry standard genomic analysis software (Plink 2.0)- Developed Bash/Python/R scripts for data manipulation of hundreds of genomes

New York, NY, US

• Implemented new Azure Form Recognizer compatibility within proprietary Data Science platform
• Used Python via Jupyter notebooks to assess automated invoice processing - qualitatively and quantitatively
• Presented results to multiple internal stakeholders and communicated long term strategy for cloud usage

Irving, Texas, US

Analyzed and optimized inbound service levels for Northstar Rx LLC.- Identified trends and individual item records for an estimated $519,000,000 in delayed generic pharmaceutical products- Developed product requirements and improvements through meetings with several stakeholders- Utilized Snowflake to query relevant data and construct a real-time dataset.

- Worked in Foothill Technology's Bioscience Academy partnership with Coastal Marine Biolabs- Procured and processed unidentified local Halictidae (Sweat bee) samples for laboratory use- Isolated and extracted Halictidae mtDNA using laboratory techniques- Sent samples for sequencing and uploaded sequences to the Barcoding of Life Database (BOLD)

Conducted research into microbial genomics in the Valentine lab as part of the UCSB Research Mentorship Program:-Created novel approaches to identifying bacterial/archaeal genomes through a multivariate analysis of sequence characteristics-Developed skills in data science/visualization techniques in Python and Bash scripting-Trained in scientific writing.

Master Of Science - Ms, Analytics

Bachelor Of Science - Bs, Computer Science

High School Diploma