Matthew Torres

Driven and motivated graduate student pursuing a challenging internship opportunity in data analytics. Possessing a strong background in mathematics and current studies in business analytics, Continuing to develop and apply various capabilities in statistical analysis, data manipulation, and problem-solving to contribute effectively to make decisions based on data analysis and findings. Seeking an environment to further develop skills as well as making contributions to real-world projects in data analytics.

Business Intelligence & Data Warehousing

• Evaluated the viability of toys based on sales, customer feedback, and market trends to make decisions on continuation, modification, or discontinuation.
• Designed a relational database scheme with SQL, capturing business transactions, with dimension tables for customers, products, orders, salespersons, and stores, and a fact table (Sales_Information) to track sales transactions.
• Utilized a decision tree to make predictions based on attributes like location, time of purchase, and store type, enabling data-driven insights into potential toy purchases.

Visualization in Python

• Read the dataset from a CSV file using Pandas and printed its contents.
• Created several visualizations: Histogram of weight distribution , Boxplot of weight distribution, Bar chart comparing average weight by smoking status, Scatter plot of height by smoking status, and Pie chart showing the distribution of smoking status in the dataset.

Statistics in R

• Performed various statistical analyses and explored the relationships between different variables in the imported dataset, 'mtcars'.
• Created a linear regression model to predict miles per gallon based on horsepower from the mtcars dataset and summarized the model using summary().