Current Projects
American Homes 4 Rent: Analysis of Rental Properties Maintenance Data (AY 2022-2023)
American Homes 4 Rent (AMH), which focuses on single-family rental homes, is interested in analyzing the maintenance data for its homes to generate insights into the associated costs and to predict upcoming maintenance events. This project aims at analyzing maintenance in 3 major categories: 1) HVAC, 2) plumbing, and 3) roofing. The project goals are to derive insights based on an analysis of the work orders in each of these categories, and to predict upcoming maintenance work orders for any given home for the next 12 months based on its attributes (e.g., the age of the property and its location) and the work orders history.
Student team: Chris Carvalho, Karen Chu, Hunter Donnan, Giang Nguyen, Tyler Rich
Faculty advisor: Mohammad Salehan
Boeing Text Mining Project: Using Machine Learning to Derive Insights from Aircraft Maintenance Records (AY 2022-2023)
The Center for Innovative Analytics continues its partnership with the Boeing Company on analytics projects related to aircraft maintenance data. The goal is to extract object, defect, and location information from the free-form maintenance records provided by Boeing. Students are training a machine learning model based on BERT (Bidirectional Encoder Representations from Transformers) for natural language processing. Data visualizations are used to generate insights on the most frequent defects and the parts and locations in which they happen.
Student team: Giang Nguyen, Nhi Nguyen, Nicholas Schlesinger, Phuong Truong, Libin Varughese
Faculty advisors: Mohammad Salehan, Mehrdad Koohikamali, Rita Kumar
City of Pomona: Rental Affordability & Tenant Protection Strategies Project (Spring 2023)
The Singelyn Center continues its partnership with the City of Pomona on community solutions for Pomona’s homelessness. During Spring 2023, the project’s focus is on rental affordability and tenant protection strategies, with the context of Pomona’s recent rent stabilization ordinance. The project team is analyzing trends and patterns related to rental market variables, household demographic and socio-economic characteristics, rental affordability, and evictions. The ArcGIS Solutions – Social Equity Analysis tool is used to enhance the analysis and identify areas where rental affordability may be most threatened and proactive measures most impactful.
Student team: Marvin Alvarado, Andrew Cornejo, Victor Miller, Dat Nguyen, Gialeny Serrano, Paul Williams
Faculty advisors: Anthony Orlando, Rita Kumar
Meta Reality Labs: Retail Store Segmentation and Inventory Policies (Spring 2023)
Meta Reality Labs creates technologies for more connected and collaborative environments such as Augmented Reality (AR) and Virtual Reality (VR) hardware, software, and content. The Singelyn Center is partnering with Meta Reality Labs on a case study project in supply chain analytics. The project goals are to segment US retail stores and develop inventory stocking policies to maintain desired service levels.
Student team: Raquel Espiritu, Anh Nguyen, Monika Raghuvanshi, Jesus Sanchez, Minh Vong, Hua Yang
Faculty advisors: Rita Kumar, Mehrdad Koohikamali, Honggang Wang
University Advancement: Engagement and Philanthropic Giving (AY 2022-2023)
The Singelyn Center continues its collaboration with Cal Poly Pomona University Advancement. The project goal is to model the relationship between engagement with and philanthropic giving to Cal Poly Pomona. This will help University Advancement inform and prioritize engagement activities, identify prospects for follow up, and develop an engagement scoring system as a key metric. The focus of the 2022-2023 project is on the College of Business Administration.
Student team: Paolo Baluyot, Diana Diaz, Sanjay Bharati Kajool, Giang Nguyen
Faculty advisors: Alireza Yazdani, Rita Kumar