MISSA's Data Analytics Team Projects

RMDS Data Science Competition

The Research Methods and Data Science Lab (also known as the RMDS Lab) is a community of analysts and researchers based out of Pasadena, CA. They aim to empower the scientific community and advance contributions through certification training, data impact consultation and other AI-powered services. During Spring 2021, the RMDS lab held a data science competition with the premise being to use machine learning along with other data analytics techniques to analyze how news sentiment, along with other factors such as the COVID-19 pandemic and a region’s mobility index, affected different stock prices of the fossil fuel industry. The previous 2021-2022 Co-Directors of the DA team, Ryan Peji and Marisa Nakanishi, took lead of this project and, while they didn’t place as high as hoped, they found it as a valuable learning experience.

RMDS project

ISACA Electric Vehicle Case Study

ISACA Los Angeles Chapter, So Cal Edison, and MISSA's Data Analytics team worked together to work on a case study to analyze data and visualize data using PowerBI and Tableau to provide recommendations to SCE as to where to place Electric Vehicle Charging Stations in the most effective locations. The goal is to place the EV charging stations in areas that would make EV charging more accessible to residents living in multifamily buildings. At least 50% of the stations must be located in environmentally impacted and disadvantaged communities in order to encourage EV adoption in those areas. The team will be presenting their findings and teaching industry professionals how to achieve similar dashboards during the SheLeadsTech Conference.

EMP SoCal Edison Project

So Cal Edison and MISSA's Data Analytics team analyzed the research question, "How can correlating EMPs with environmental and solar phenomena enhance SoCal Edison's preparedness for potential distruptions?" They used Python and Tableau libraries to craft visual representations providing in-depth analysis and exploration to identify key outcomes, trends, and conclusions.

SoCal Edison Power Outage Project

SoCal Edison and MISSA's Data Analytics team analyzed the reasons for the escalation in power outages whether it is due to heat waves, rainstorms, and/or rising instances of vandalism. MISSA's Data Analytics team goal is to leverage machine learning and data analysis to enable SoCal Edison to rapidly identify the outage type and expected duration of power outage.

Forecasting Future Energy Needs

SoCal Edison and MISSA's Data Analytics team's objective for this project is to develop a comprehensive system to forecast future energy requirements by county, supporting SCE in infrastructure development and resource allocation. The project aims to create customized energy-saving programs for areas with high energy usage.