Pacific Gas & Electric Company

A utility company headquartered in San Francisco, California, Pacific Gas & Electric (PG&E) provides natural gas and electricity to millions of households in the Bay Area. Many internship projects have focused on safety for their nearly 50,000 miles of gas pipeline. Recently, students have had the opportunity to use advanced analytics methods to better set goal and make decisions. LGO graduates who work at PG&E after graduation have leadership roles in R&D, energy delivery optimization, and risk management.

Arvind Simhadri (LGO ’15)

Principal Product Manager – Grid Innovation and Integration, PG&E
At LGO: MBA & SM Engineering Systems
Prior education: University of Calgary, Electrical Engineering
While an LGO student, Arvind conducted research at National Grid on how the company could best manage the ramp-up of residential renewable energy production. After graduation, he joined PG&E where he has a variety of operational and strategic roles in the MBA leadership rotational program.

Renata Bakousseva (LGO ’16)

Manager, Data and Energy Management Products, PG&E
At LGO: MBA & SM Engineering Systems
Prior education: University of Pennsylvania, Chemical and Biomolecular Engineering
Renata’s career started as a field engineer with Schlumberger on offshore oil rigs. While at LGO, her internship studied a partner company’s supply chain and production network design. She used analytics to lower inventory costs through a differentiated manufacturing strategy based on high- or low-volume products. After graduating from LGO, Renata joined PG&E’s MBA rotational program, where she worked to standardize business processes and analyzed deployment of mobile generation capacity during electricity outages. After completing her rotations she was promoted to a manager role.

Lillian Meyer (LGO ‘16)

Location: San Francisco, CA
Research topic: Data Analytics & Energy
One of the challenges PG&E faces with their pipelines is corrosion in the steel. They already have preventative measures in place, but not all corrosion leaks can be avoided. Lillian developed a logistic regression model using factors like pH levels in soil and temperature to predict corrosion leaks.

Mohamed Kurdi (LGO ’17)

Location: San Ramon, CA
Research topic: Data Analytics & Energy
PG&E has over 4 million natural gas customers and almost 50,000 miles of gas pipeline. They have already invested significantly in resiliency plans and damage prediction models. Mohammed built a model to predict what the damage would be to PG&E in the event of an earthquake. Additionally, he’ll worked on a resource plan for PG&E’s emergency response team in the event of an earthquake.

Stephen Link (LGO ’18)

Internship Location: San Ramon, CA
Research Topic: Data Analytics
Stephen helped PG&E plan for gas network restoration after earthquakes. The company is investing in models based on past earthquakes, and Stephen’s project will add real-time damage data to modeling response efforts after a quake, as well as enhanced predictions of repair crew availability.