Arlette Varela

Asheville, NC 28805 · (828) 273-7479 · arlettecvarela@gmail.com

Meticulous Data Analyst with extensive operations experience and consistent history of improving efficiency via data analysis and process improvement. Skilled in applying a wide variety of analytical and evaluative methods and techniques. A teamwork oriented, well-rounded, and self-driven problem solver who stays updated on technology as well as additional skills—currently working towards Tableau certification. In addition to a earning a recent Certificate in Data Analytics (2020), achieved a Masters in Accounting (2010) and a Bachelor’s in Religious Studies (2007). Fluent in English and Spanish.

Resume

Skills

Technical Skills

• Programming languages: VBA, Python, JavaScript, R, and HTML
• Advanced Excel skill
• SQL and Mongo databases and querying languages
• Tableau (certification in progress)
• Data mining, cleaning, and munging
• Data visualization and reporting techniques
• Machine Learning
• Salesforce

Other Skills

• Bilingual: English/Spanish
• Skilled in communicating with officials, managers, and supervisors, both orally and in writing
• Healthcare
• Teamwork oriented and self-managing
• Strong written and verbal communication skills
• Development of compensation plans
• Detail oriented
• Problem-solving and troubleshooting
• Presentation and public speaking
• Skilled in assessing company strengths and areas of improvement
• Project management
• Customer service – work with business partners and customers to assess their needs and resolve their problems

Projects

Below is a list of some of my favorite projects. Please visit my GitHub for full list of projects.

    World Happiness Report:

    World Happiness Report
    Our main objective was to explore the measures of subjective well-being as laid out in the World Happiness Report to determine which ones had the most influence on happiness. Python, Jupyter Notebooks, Pandas, and Matplotlib were utilized in this project.

    Home Price Prediction Model:

    Home Price Prediction Model
    We built a machine learning model and web tool that takes in user input and predicts townhome and single-family home prices in Apex, NC based on square-footage, bedrooms, bathrooms, and a few other things that make a house unique. Python, Jupyter Notebooks, Pandas, TensorFlow, HTML/CSS, JavaScript, and Tableau were utilized in this project.

    SuperHero Database:

    SuperHero Database
    For this project, we created a website that displays superhero and villain information from multiple universes. We also created a battle section that allows you to pick between two fighters and see who would win based on their stats. We accessed the superhero database api listed above and loaded the json data into a mongo database. HTML/CSS, Javascript, Python, Flask, MongoDB and PyMongo were utilized in this project.

Interests

An adventurer, traveler, gaming and tech connoisseur with a passion for innovation and technology; finding joy in the great outdoors with my dog Ellie, exploring new and exciting experiences, never standing still to miss a moment scuba diving, making memories and living to the fullest.

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