Paige Norris

Paige Norris

Sales Manager

Followers of Paige Norris353 followers
location of Paige NorrisPortland, Maine, United States

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  • Timeline

  • About me

    Data Scientist

  • Education

    • Northeastern University

      2022 - 2024
      Master's degree Data Science
    • The Putney School

      2012 - 2016
      High School Diploma
    • Rochester Institute of Technology

      2016 - 2021
      Bachelor of Science - BS Biological Sciences
  • Experience

    • Monhegan Island Plantation

      Jun 2015 - Sept 2020
      Sales Manager

      • Provided overall store management, supervision, and policy implementation. • Trained new employees and educated on fish species, correct handling, food preparation, and day to day responsibilities. • Responsible for placing, completing quality assurance, and documenting orders to several vendors multiple times a week. • Organized and maintained inventory as well as ensured raw fish freshness at all times. • Communicated with customers and employees and ensured excellent customer service. • Monitored sales and revenue data. Show less

    • Acadian Landscapes

      May 2018 - Sept 2020
      Landscape Architect

      • Designed and installed gardens and landscapes • Created and maintain customer communication throughout project • Collaborated with clients to ensure desired atmosphere• Focused on self-sustaining, habitat friendly, organic practices

    • Rochester Institute of Technology

      Jan 2019 - Dec 2019
      Learning Assistant

      • Attended and acted as assistant professor to classes between 40 to 190 students• Met and collaborated with the professor to improve student outcomes• Created and implemented focused supplemental lesson plans to broader topics • Offered twice weekly small group and on demand 1-on-1 tutoring opportunities• Led post-assignment explanations and discussions• Created practice exams that promoted critical thinking in addition to required knowledge • Received positive verbal feedback for approachability and competency Show less

    • Rochester Institute of Technology

      Sept 2020 - Jun 2021

      Explored Spirulina algae carbohydrates as a bioethanol feedstock and feed source for acid producing organisms. • Maintained algae cultures with weekly cultivations through centrifugation.• Daily OD measurements determined growth most productive under white light with 1:4 culture to media. • Obtained carbohydrates from acid hydrolysis and quantified at 23g/L through phenol-sulfuric acid assay.• Grew acid producing organisms on pH balanced carbohydrates to identify potential fermenters. • Utilized sonication of the grounds in solvent for 480 seconds at 160 watts to improved biodiesel yields by 6%. • Fermented cultures to produce crude bioethanol and performed distillation and dehydration to purify to 95% bioethanol. Show less - Investigated the genetic factors contributing to obesity in mouse models.- Obtained and preprocessed genomic and phenotypic data from the MPD.- Conducted a GWAS) to identify genetic variants associated with obesity-related phenotypes in mice.- Employed statistical methods.- Annotated genetic variants and performed functional analysis to assess their potential effects on gene function and regulatory mechanisms.- Prioritized candidate genes implicated by GWAS results for further investigation, integrating multi-omics data to elucidate molecular pathways underlying obesity.- Visualized and interpreted results and prepared a comprehensive project report and delivered an oral presentation to peers and faculty. Show less

      • Spirulina: Uses for Fuel and other Marketable Byproducts Researcher

        Jan 2021 - Jun 2021
      • Spent Coffee Ground to Biodiesel Optimization Research Assistant

        Aug 2019 - Jun 2021
      • Research Project - Analysis of Genetic Determinants of Obesity in Mouse Models

        Sept 2020 - Dec 2020
    • National Renewable Energy Laboratory

      Jun 2021 - Jun 2022

      - Authored R scripts pertaining to algae data collection, cleaning, analysis, visualization, and distribution.- Developed and implemented data visualizations for the DISCOVR project, contributing to scientific reports and online resources. Utilized advanced data visualization tools to present complex biofuel data clearly and effectively.- Authored and co-authored multiple research papers published in peer-reviewed scientific journals, detailing findings from the DISCOVR project and other experiments. Demonstrated strong technical writing skills and the ability to communicate complex scientific concepts to a broad audience.- In response to reduced staffing, took on significant responsibilities beyond the typical scope of an intern, effectively prioritizing and managing multiple tasks. Filled in for the team data scientist, balancing these additional duties with ongoing experimental work to ensure project continuity and success.- Worked independently to execute experiments following SOPs while also collaborating closely with team members to support various aspects of the algae biofuels research. Adapted quickly to team needs and provided valuable support in areas requiring additional resources. - Quickly acquired and applied new skills in data science and statistical analysis to support the DISCOVR project. Integrated new methodologies and frameworks to enhance the accuracy and reliability of experimental results and data interpretations. - Developed interactive R Shiny applications to visualize and analyze experimental data, improving accessibility and user engagement. Created tools that allowed consortium members and external collaborators to interact with and interpret data dynamically. - Suggested and created algae lab's GitHub team to enable collaborative code sharing and storage. - Followed QA/QC SOP processes to maintain high standards in data and code quality. Show less • Performed growth condition experiments on algal cultures for bioenergy production. • Maintained 6 - 12 1L Arthrospira algae cultures in simulated algal growth environments with daily sterile refreshment and measurement. • Maintained 4 - 75L Scenedesmus raceway ponds with daily and thrice weekly wet biomass collection for compositional analysis. • Created progress reports of growth, data collection, and composition analysis and presented internally and to external partners.• Completed gene sequencing of long frozen algal samples to confirm viability and species. Show less

      • Data Scientist

        Jun 2021 - Jun 2022
      • Algae Biotechnology Intern

        Jun 2021 - May 2022
    • U.S. Geological Survey (USGS)

      Sept 2022 - May 2023
      Geo-Spatial Data Scientist

      - Modified R scripts for the IceMail project to analyze sea ice and wildlife habitat data. Employed specialized spatial analysis packages to map and assess environmental changes, contributing to scientific understanding of habitat dynamics.- Created data visualizations and maps for reports and publications, and developed online resources to share findings with the scientific community and stakeholders.- Adhered to federal documentation standards, producing comprehensive software documentation that facilitated acceptance into GitLab. Prioritized and optimized project components, adapting to emerging needs to provide additional resources when required.- Worked independently and remotely for most of the project, collaborating with specialized package owners to accelerate troubleshooting and explore innovative solutions. Integrated new geospatial methodologies into the IceMail framework. Show less

    • Braincube

      Dec 2022 - now
      Data Engineer, Team Lead

      - Developed a hierarchical model with observations nested within different environmental conditions (ie humidity, temperature) to model and analyze how variations affect production quality or yield, which for a specific customer determined that when the garage doors were opened in the summer the product quality decreased. - Modeled relationships between process parameters (temperature, pressure, speed) and output quality metrics using regression models to provide probabilistic estimates and uncertainty quantification to enable the customer to make informed critical decisions.- Created supporting data visualizations to assist with technical explanations to multidisciplinary teams, including non technical individuals. - Presented and discussed complex technical concepts at industry conferences and internal meetings, making data-driven insights accessible to both technical and non-technical stakeholders. Served as a technical resource for the company operational body.- Coordinated team of 5 people to effectively meet deadlines of multiple projects and ensure satisfaction of stakeholders. - Designed and implemented ETL pipelines for client projects on SQL based proprietary software.- QA/QC’ed data pipelines for additional manufacturing plants in client’s current structure.- Created algorithms and mathematical models to enable representation of manufacturing processes for machine learning and statistical analyses. - Worked cross-functionally internally and externally throughout structuration process to collect data and information.- Designed custom javascript dashboards and streamlined ETL workflows to deliver real-time data via cloud-based resources.- Assisted clients with dashboard analysis and report creation. Show less

  • Licenses & Certifications