Lia Cappellari

About

Enthusiastic and results-driven graduate student in Data Science with a strong foundation in industrial engineering. Proficient in coding languages including R, Python, HTML, SQL, Java, and Javascript, with a solid grasp of machine learning fundamentals. Experienced in conducting impactful data analyses and implementing process improvements using Six-Sigma methodologies. Proven leadership as the President of Alpha Pi Mu, coupled with internships optimizing operations at CAES and San Ysidro Health. Seeking an internship opportunity to apply analytical skills, drive innovation, and contribute to data-driven solutions in a dynamic professional environment.

Skills

Projects

ANOVA Data Analysis R Shiny App

Interactive R Shiny web portal within R Studio to facilitate seamless data analysis and visualization, tailored to user-uploaded datasets.

Drug Overdose Data Analysis Project

Leveraged Python to conduct a comprehensive analysis of drug overdose data, employing advanced visualization techniques to discern critical trends and factors

Thermo Fisher Scientific Scrap Reduction Project

Employed R and SQL to analyze data and identify areas for improvement in material handling processes, resulting in a targeted 10% reduction in scrap and an annual cost savings of $700,000

Experience

2023-2024

Data Scientist at Restaurant World

• Analyzed sales data to identify trends, seasonal variations, customer preferences, and create visualizations using Python, SQL, Tableau, and R • Built time series and predictive models and reduced inventory costs by 16%

2022-2023

Alpha Pi Mu President

• Spearheaded initiatives to enhance networking opportunities, academic support, and engagement within the industrial engineering community • Organized industry-related events, including guest lectures, workshops, and networking sessions, contributing to increased member participation and satisfaction

2022

Continuous Improvement Intern at CAES

• Implemented lean Six-Sigma methodologies to optimize inventory systems, streamline production lines, and conduct turnback analysis • Collaborated with cross-functional teams to identify and eliminate bottlenecks, resulting in a 15% reduction in production downtime

2021

Lean Six Sigma Intern at San Ysidro Health

• Applied Six-Sigma principles to analyze and improve the call center operations and implemented process changes resulting in a 20% reduction in caller abandonment, enhancing overall customer satisfaction

Education

2023-2024

MS Data Science, UC Berkeley

Courses Taken: • DATASCI 200: Introduction to Data Science Programming • DATASCI 201: Research Design and Applications for Data and Analysis • DATASCI 203: Statistics for Data Science • DATASCI 205: Fundamentals of Data Engineering • DATASCI 207: Applied Machine Learning • DATASCI 209: Data Visualization • DATASCI 241: Experiments and Causal Inference

2019-2023

BS/BA Industrial and Systems Engineering, University of San Diego

Courses Taken: • COMP 110: Computational Problem Solving • ENGR 101: Intro to Engineering • ISYE 480: Data Science • ENGR 102: Electromechanical Systems Design • ENGR 103: User Centered Design • MATH 310: Applied Math for Engineering • MENG 210: Statics • ISYE 330: Engineering Probability and Statistics • ISYE 220: Engineering Economics • ISYE 310: Work Analysis and Design • ISYE 340: Operations Research I • MENG 311: Material Science and Engineering • ENGR 494: Entrepreneurship • ISYE 310: Intro to Systems Engineering • ISYE 335: Six Sigma • ISYE 350: Manufacturing Processes • ISYE 440: Operations Research II • ISYE 410: Simulation of Production and Systems • ISYE 430: Design and Analysis of Experiments • ISYE 460: Operations and Supply Chain Management