I’m excited to share the results of my final data project for the Montgomery County Alcohol Beverage Services (ABS) team as part of my data science course! Over the past few months, I’ve been working on a real-world inventory optimization challenge, analyzing sales data across three different retail store types (high-, mid-, and low-volume). The goal: improve the algorithm for calculating Minimum Shelf Stock and Reorder Quantities using a smarter, data-driven approach. Project Highlights: - Cleaned and explored 53 weeks of 2024 sales data using R - Designed and implemented two algorithms (baseline & improved model) - Factored in demand trends, delivery schedules, and sales variability - Created visualizations to evaluate performance across store types

Here is my PROUD outstanding magnificent project in regards to the Mr. Trash Wheel Dataset from the Mr.TrashWheel website. Here I investigated all variables, and trash data, and found things that help understand more about the Trash found in the Baltimore Harbor.

Here is a project I have done with Spotify web-scrapped data!

Here is a mapping tutorial assignment I done!

Here is my FANTASTIC data set I made on my own using highcharter, interactive graph! Hope you love it.

BY: Emilio Sanchez San Martin For my project, I have investigated the data set for Mr. Trash Wheel, a company that takes out trash found in the rivers in Baltimore! I discovered correlations, and p-value, and visualized the data sets. I also manipulated the data sets. Take a look!

Homework assignment for Week 6

Here is a project that I have done, creating my own data set and graph using dplyr and ggplot packages. Hope you like it!

Here is my first assignment with my first creation in a data set with air quality, using the ggplot2 package. Yay!