Evelyn Martin Email and Phone Number

Leverage Advanced Metering Infrastructure (AMI) data to conduct statistical analyses in Python, uncovering trends and anomalies that inform demand-side management strategiesCoordinate and support planning, implementation, and evaluation of demand response and peak load management programsSupport cross-functional teams in design, development, and execution of technology demonstration and pilot projects by working closely with engineers, tech vendors, evaluators, and internal stakeholders to assess feasibility, performance, and scalabilityCentralize telemetry, survey, and demographic data from pilot programs and tech demonstrations in Snowflake to optimize data accessibility to long term analytical insightsStay current on industry trends, emerging technologies, and innovative energy solutions such as green hydrogen, distributed energy resources (DERs), battery energy storage systems (BESS), vehicle-to-grid (V2G) technology, virtual power plants (VPPs), microgrids, and community solar projectsServe as co-teacher for enterprise-wide Snowflake SQL training class, helping to educate staff across departments on cloud data extraction to enhance data-driven decision-making and improve operational efficiency

Developed Python code for automating data extraction process from disparate data sources, aggregating essential information, and uploading table into enterprise central database as part of ETL process for federally-mandated reports and provided regional insights in conservations trendsSpearheaded data entry automation efforts using R, resulting in increase in efficiency by automating data entry processes, reducing manual workload, and ensuring data accuracyDesigned Tableau dashboards utilizing conservation data to provide actionable insights for internal stakeholders, enhancing data-driven decision-making and supporting conservation goalsCrafted SQL queries in Snowflake to manage large volumes of raw data for manageable, structured datasetsProvided crucial data support to facilitate identification and prioritization of commercial/industrial buildings for Clean Buildings Performance Standard energy benchmarking

Collaborated with plurilingualism team to evaluate progress of over 250 students and implement interventions as neededDemonstrated flexibility to adapt to changing requirements, learn new skills, and remain calm under pressureExplained complex concepts in simple terms by relying on strong communication and interpersonal skills

Built predictive model using machine learning algorithms and deep learning techniques to determine student retention for first-year student cohorts and emphasize ‘data storytelling’ through written and oral reports Cultivated collaborative workflow for testing and selecting time series model for student retention forecastingEmployed hyperparameter optimization and cross-validation to optimize ARIMA and Prophet modelsUtilized SQL queries to extract data from a Snowflake cloud database for analysis.Cleaned raw student census data using Tidyverse in RStudio and developed KPIs to present findings to administration

Analyzed academic performance and demographic data to support and inform recruitment, admissions, retention, enrollment projections, and program planning decisionsDeveloped an automated system for generating parameterized reports of midterm grades for 44 academic departmentsConducted exploratory ad-hoc and recurring analysis for course planning and evaluation with reproducible R Markdown workflows Created interactive stacked wordcloud visualization of university survey results using Tidyverse and hosted on HTML website for university administration.

Provided peer-to-peer support to help students improve their time management skills, organization, study skills, and test-taking strategiesPlanned and hosted workshops on an on-call basis for student groups, organizations, and sports teamsConsulted with students individually to help problem-solve academic challenges and connect them with university resources

Tutored ~200 Puget Sound students in introductory and intermediate Spanish classesFunctioned as a liaison between the Hispanic Studies Department at the University of Puget Sound and the Center for Writing and Learning. Initiated and hosted exam review sessions periodically and drop-in hours weekly, thereby practicing the skill of relaying complex information to others.

Assisted professor in managing the evaluation of course assignments and development of feedbackProvided professor with feedback related to student performanceHeld office hours to review material, answer questions, and provide assistance on assignments Monitored student progress and helped students in accomplishing established learning objectivesProvided timely feedback to students on coursework

Spearheaded an economic impact report of the Lakewood Farmers Market to be later incorporated in grant applicationsAnalyzed and created graphics for weekly vendor sales data using ExcelDeveloped and implemented a successful marketing campaign using Canva to advertise the new Lakewood Farmers Market on social mediaDesigned and distributed a series of contactless, virtual surveys at the Lakewood Farmers Market using Google Forms