Lauren Varnado

Phone: (***) *** - **** LinkedIn: https://www.linkedin.com/in/laurenvarnado/

Address: **** ****** **., ******, ** 80004 Email: adjkxf@r.postjobfree.com SUMMARY

Colorado School of Mines recent graduate with a bachelor’s degree in Applied Math & Statistics. Experienced in data cleaning and analysis using multiple languages and programs. Worked as a data science intern over the summer of 2020 for the National Science Foundation where I worked with stakeholders in their goal to remove selenium from water to achieve potable water. I was given the opportunity to work with a team and receive feedback from the overseers as well as the stakeholders throughout the internship where I was able to put my skills to the test and prefect them. EDUCATION

Colorado School of Mines, Golden, CO December 2020 Major: Applied Math & Statistics

Red Rocks Community College, Lakewood, CO

SKILLS

Computer: Python, SQL, R, Microsoft Excel, PowerPoint, Word, Outlook, Jupyter. Communication: Public speaking, technical writing. Qualities: Organized, problem-solver, quick learner, strong teamwork skills, strong statistical analysis skills, mathematical modeling.

WORK EXPERIENCE

Data Science Intern at MoWaTER of National Science Foundation (NSF) June 2020 – July 2020

● Cleaned given data to make easier work with using R.

● Eliminated variables that would give a one-to-one ratio.

● Collaborated closely with team to achieve stakeholder’s goals.

● Communicated with stakeholders in presentation form weekly on new findings.

● Managed team to keep tasks and goals on track.

● Made predictions in removing selenium to make potable water using statistical methods.

● Modeled findings to give visual representation.

● Presented overall findings and conclusion to stakeholders in research and presentation format. Starbucks, Golden, CO — Barista August 2018 - Present

● Maintained happy demeanor throughout shifts.

● Worked with team to make drinks correctly and efficiently.

● Adapted and solved issues as they arose to keep order. Petsmart, Northglenn, CO - Petcare/Stocking/Cashier January 2012 - August 2018

● Communicated to customers about pet care specifics.

● Managed time in multitasking to complete all tasks in a timely fashion. RELATED PROJECTS

Statistics Practicum – NASA Data Collection and Verification

● Worked with small team to divide up tasks.

● Communicated directly with a NASA client in verifying the detection of ozone levels using TROPOMI data.

● Collected and cleaned data to find anomalies and analysis inside a research paper format.

● Determined how well TROPOMI collected data accurately over different types of terrains around the world. Stochastic Models – Predicting Contributing Variables

● Collected and cleaned 2018 League of Legends Worlds data

● Predicted which factors in a game help contribute most to most total damage done to enemy opponents using stochastic models in Rs.

● Represented findings visually and presented in a research paper format. Multivariate Analysis – Predicting Game Outcome Using Multiple Variables

● Collected and cleaned 2019 League of Legends Worlds data

● Made predictions using statistical methods in RStudio.

● Predicted if and how much wards (wards, pink wards placed and destroyed) resulted in winning a game.

● Presented findings visually back up predictions.

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