Jenavie Palmer | Data portfolio

Jenavie Palmer

Based in Milwaukie, OR

About

Present: Pursuing Google Data Analytics certification via Merit America. Mastering Python and SQL as fundamental technical skills. Past: Former Facility Manager in agriculture industry. Managed 75 employees and facilities. Generated over $1 million in revenue through data-driven decisions. Proficient in HR, digitizing data, and handling FMLA cases. Future: Transitioning into a Data Analyst role. Aiming to bridge the gap between raw data and actionable insights. Committed to contributing to business growth through meticulous data analysis.

Skills

Projects

SQL Project Coming Soon

Project Initiation: Define project scope, stakeholders, and team. Requirements Gathering: Collect data sources, reporting needs, and requirements. Database Design: Plan the database schema and relationships. Data Import and Migration: Extract, transform, and load data into the SQL...

Capstone Project - Twitch Growth Analysis

This capstone project revolves around a comprehensive analysis of Twitch streaming data, aiming to unearth patterns, trends, and growth factors within the dataset. I used Google Sheets to collect and clean the data before import to Tableau.

Excel Project Coming Soon

Prepare for an exciting Excel Project! We'll be diving into the world of spreadsheets to showcase our data manipulation and analysis abilities. Keep an eye out for updates on this project, which will highlight the power of Excel for various applications.

Customer Analysis

This dashboard provides a comprehensive breakdown of customer demographics, delving into age, gender, and location. It offers a visual representation of purchase history, showcasing frequency and average order values across different time frames.

Tableau Visualization and Demo

This Tableau project focuses on visualizing the average Airbnb rental prices in Seattle for the year 2016, categorized by zip codes. Using available data sources, the project aims to present a clear and concise analysis of the varied average prices across different areas within the city.