Experience

• 

  Epsrc center for industrial sustainability (cis)

  Aug 2015 - Oct 2015

  Intern

  - Entered research outputs into the UK Research Council's database, Researchfish, along with general office work. - Assisted at the 4th Annual Conference of CIS, as well as the EPSRC (Engineering and Physical Sciences Research Council) Manufacturing the Future Conference.

• 

  Wise owl learning

  Jun 2017 - Sept 2017

  Math tutor

  - Aided student with homework and created algebra exercises to enhance his understanding of the material. - Used adaptive learning strategies to accommodate the needs of a young student coping with ADD.

• 

  Peet's coffee

  Feb 2018 - Mar 2019

  Barista and cashier

  - Prepared drinks and meals to customer satisfaction, restocked merchandise, washed dishes, and cleaned cafe. - Interacted with customers, completed cash and card transactions, and verified the cash register contained the expected monetary amount before and after each shift.

• 

  Synectics

  Jan 2019 - Jun 2019

  Data analyst

  - Interfaced with the largest web based Environmental Data Management System (EDMS) currently on the internet. - Queried field data files concerning environmental restoration projects within the Department of Defense in SQL. - Uploaded and validated CSV files containing environmental data, such as lithology data, groundwater measurements, and well construction information, into Synectics’ EDMS. - Entered field data measurements into Excel using coded values compatible with their EDMS. Show less

• 

  Townsend lab - university of california, davis

  Sept 2019 - Dec 2019

  Data analyst

  - Professor Marilyn S. Townsend, Ph.D., R.D. and her team studied habits and biological factors of their subjects in order to create an obesity risk assessment tool for young children. Hispanic children from low-income households were the demographic of interest during my involvement. I was the only undergraduate member of the team. - Utilized Statistical Analysis System (SAS) to produce summary statistics and utilize methods such as Kruskal-Wallis and Analysis of Variance (ANOVA), in order to make large data sets interpretable to the research team. - Presented my statistical analyses at weekly meetings with the research team to examine associations between daily habits of children and their score on a proposed obesity risk assessment tool. Show less

• 

  Animal behavior and cognition lab

  Jun 2020 - Dec 2020

  Data analyst

  - Wrote an adapted Random Sample Consensus (RANSAC) machine learning algorithm to fit milk curve models to highly contaminated temporal dairy cow milk lactation data, as well as provide diagnostic plots and optimization records. - Wrote a web application using R Shiny package that uses an adapted Random Sample Consensus (RANSAC) algorithm to project daily milk yield of a dairy cow given user input parameters, along with diagnostic plots corresponding to statistical fits. The application also performs a sensitivity analysis of the RANSAC algorithm by visualizing error statistics of one hundred statistical fits produced by RANSAC, each fit corresponding to a simulated dataset. - Wrote a supplementary algorithm that estimates optimal RANSAC parameters, such as the number of iterations to best approximate a milk curve, and the threshold residual value that distinguishes an inlier from an outlier. - Wrote a function to simulate temporal dairy cow lactation data. This was achieved by simulating variability about the milk curve, outliers due to illness and milk claw kickoffs, and the underlying shape of the milk curve. - The above tasks were written in R programming language in collaboration with UC Davis PhD student, Catie McVey. Show less

• 

  Synectics

  Mar 2021 - Apr 2023

  Data manager

  Collaborated with clients and cross-functional technical teams to deliver tailored data and software solutions, driving customer satisfaction and achieving strategic goals for large-scale environmental projects.* Customer Engagement: Led projects for government and commercial organizations, including the U.S. Air Force, Army, Navy, and EPA. Built strong relationships with key stakeholders and aligned technical solutions with organizational goals.* Onboarding & Training: Onboarded clients to customized platforms, ensuring effective adoption for data management, regulatory compliance, and business outcomes. Delivered training and created user documentation to streamline processes.* Tailored Solutions: Worked closely with clients to understand their business needs, translating them into actionable technical solutions and tools. Enabled decision-making with comprehensive reporting and data analysis.* Cross-Functional Collaboration: Acted as a liaison between clients and technical teams, ensuring seamless communication and solution delivery. Collaborated with engineers, chemists, and physicists to integrate software capabilities with domain-specific requirements.* Project Management: Managed concurrent projects, including high-stakes environmental restoration initiatives. Coordinated with U.S. Army Corps of Engineers (USACE) to meet critical milestones such as groundwater sampling and lab reporting.* Technical Expertise: Developed and maintained SQL Server Reporting Services (SSRS) reports to provide real-time insights into customer data. Built SQL stored procedures to optimize performance and reporting.* System Migration & Optimization: Led legacy system migrations to modern platforms, improving system performance and data accessibility. Designed workflows for efficient data analysis and reporting.* Data Quality & Troubleshooting: Identified and resolved complex data quality issues, ensuring consistency and accuracy across databases. Show less

• 

  Ucsf memory and aging center

  May 2023 - now

  Data analyst/manager - biospecimens and genetics

  * Data Strategy & Pipeline Development: Develop ETL pipelines using Python and SQL to harmonize large-scale clinical and Quality and Patient Safety (QPS) datasets coming from disparate sources such as Electronic Health Records (EHR), Medidata RAVE Electronic Data Capture (EDC), Freezerworks Laboratory Software, and various fluid biomarker, genetic, and multi-omic data returns from academic institutions and companies like Gates Ventures and SomaLogic.* Cross-functional Collaboration & Data Visualization: Lead cross-functional collaboration with scientists, software engineers, clinical stakeholders, and end-users to develop the first in-house data repository for the MAC Biospecimens & Genetics program. Regularly retrieving and processing raw data to a common data model, designing user-friendly tables with a focus on data visualization for intuitive exploration, and educating team members on data modeling best practices.* Data Analysis & Clinical Insights: Use statistical methods to conduct hypothesis testing on fluid biomarker datasets to determine whether there are significant differences in fluid biomarker levels between control participants and those with neurodegenerative diagnoses, drawing insights to inform research findings.* Lead Clinical Data Management: Built the Biospecimens & Genetics data management program at the MAC from the ground up. Additionally, manage clinical data specifically for use by the Biospecimens & Genetics team, implementing solutions to ensure that high-quality, compliant datasets are available for both observational studies and clinical trials. Show less