• Providing expert support on PIPESIM, Symmetry, and OLGA software to clients worldwide through the Global Help Desk (GHD).• Involved in various projects for clients, including pigging design, well modeling, flow assurance, network design, CO2 injection, and SAGD operations, utilizing advanced software solutions.• Conducting software demonstrations for clients as part of pre-sales activities to showcase product capabilities and benefits.• Engaging in the GFE project focused on data analysis, machine learning, and business development. This involved extensive Python coding and implementing machine learning techniques.

• Supporting the Sustainability and Emissions Group and the Data Services Group. • Working closely with the Data Services team to review, QA, prepare and manage client energy, GHG emissions, waste, and water data. • Assisting with data analysis, report generation to meet customer requirements, report writing, energy, and sustainability research, and presentation development.• Coordinating projects, managing timelines, and completing administrative duties to ensure projects move ahead as required.

• Maintained quality service by enforcing quality and customer service standards, analyzing and resolving quality and customer service problems, and recommending system improvements which lead to reaching the 4000 members goal for the first time in branch history.• Effectively participated in cross-team strategizing efforts to achieve optimal goals.• Utilized a strong working knowledge of MS Office, and photo editing software.

• Performed laboratory experiments including sample preparation, data collection, and experimental design.• Assisted in the laboratory by ordering new lab supplies and keeping and maintaining a clean lab assisting with equipment sterilization.• Experimented on extracting bitumen from oil sand using supercritical CO2, and cleaning soils or solid materials containing hydrocarbons and heavy metals.• Utilized MS Excel, SQL, and Python to track and analyze data, and Tableau to visualize and present finding to the client. • Performed exploratory data analysis and discovered notable relationships and trends in the data which helped the team to make decisions to improve the outcome. • Successfully lead the project to move to the second phase of the research two weeks ahead of the timeline.