Gordon Q. | Leland

Gordon Quach

5.0

(18)

Studied at Correlation One (DS4A)

Works at Booz Allen Hamilton

Successful clients at

+11

Not currently taking new clients

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Work Experience

Lead Data Scientist

Booz Allen Hamilton

July 2024 - Present

I provide analytic consultation, solution process enhancements, architect data services, and develop data products for our SVP, VP, Director business partners that improve our Commercial Market business GTM RevOps, SalesOps, and workforce planning outcomes. I lead the end-to-end deployment of our Next Generation analytics capabilities, design & standardized target metrics, reports, & semantic models via Databricks Notebooks/Dashboards & Power BI service for 400+ end users. Author Power BI DataOps internal playbook to help developers get up to speed on our Commercial environment and best practices in Power BI. Microsoft Power BI, Databricks and +4 skills

Business Intelligence Engineer

Booz Allen Hamilton

October 2022 - June 2024

In this role, I serve as the customer facing data analyst & visualization specialist for the Commercial Market, delivering CRM sales, financial, or workforce insights to senior leadership, e.g. Directors, VPs, SVPs. I deliver timely ad hoc business analysis in a fast paced environment. For example, I developed a $110M+ sales Go to Market (GTM) target model & documented algorithmic process for sales and financial leadership. Additionally, I develop new dashboards and manage our business intelligence portfolio of 45+ Tableau Server and Power BI Service reports. As one of my first projects, I spearheaded the successful migration of Tableau Server by overseeing the transfer of 40+ dashboards to the new server, collaborating with stakeholders on communication strategy, keeping leadership informed of progress, troubleshooting technical challenges, conducting data audits, archiving deprecated assets, and collaborating with Data Engineers to optimize ETL process. I also develop self service ETL pipelines (Tableau Prep, Power Query, SQL), enhance business processes, develop technical requirements in Jira for the curation of datasets or automation, and author Confluence documentation. In 2024, there's a larger emphasis on data modeling. Specifically, I enrich our source data by developing a semantic model that captures our business processes and logic. Additionally, I've built data feeds that support critical resource management systems. I also manage the DataOps (CI/CD) of the ad hoc Databricks notebooks, Power BI dataflows, semantic models, and BI reports. Outside of the Commercial business, I offer Tableau/Power BI expertise to employees across firm to address questions or share capabilities. In Summer 2023, I mentored a team of 4 interns in building a report displaying AI model results of airport impacted by delayed flights for FAA clients. Robotic Process Automation (RPA), Visio and +4 skills

Data Visualization Engineer

Booz Allen Hamilton

March 2022 - December 2022

In this role, I was the staff technologist & Tableau subject matter expert for MyNavyHR transformation analytics portfolio. I coached a team of 2 consultants and created 3 actively utilized Tableau decision tools for GS-14/15 leadership and internal teams to access risks, IT scaffolding strategy, and transformation schedule. This resulted in a firm reward that recognized innovation that enhanced client delivery. I also improved processes, such as eliminating maintenance of 35%+ data assets by conducting data lineage analysis, revealing redundant data with minimal dependency. Additionally, I proof of concept technology solutions and briefed leadership on implementation timeline, costs, and constraints. These proof of concepts relate to AWS database, Power BI self service platform, Oracle APEX app, and Power Automate chat bots, Within the firm, I co-facilitated Tableau training to 40+ employees, managed the Tableau CoE SharePoint, and leveraged Kibana + AWS S3 to explore FAA SWIM data. Robotic Process Automation (RPA), R (Programming Language) and +8 skills

Data Engineering & Special Projects

Northrop Grumman

November 2021 - March 2022

** Recommended for accelerated T3/Principal level promotion from leadership recognition on contributions to department and analytics capability growth. Title has since transitioned from "Industrial Engineer" to "Data Engineer" in department to better reflect responsibilities. ** In this role, I coached 8 engineers in creating analysis and reporting for their stakeholders. This entailed technical guidance as well as finding opportunities to upskill team in Tableau, Alteryx, SharePoint, R, SQL, and other tech stacks. This resulted in authoring a Tableau and Microsoft SQL Server Best Practices guides for IE department and colleagues earning a Good Engineering Award from Northrop Grumman's Intellectual Property & Strategic Technology Agreements Committee. I also managed large data product projects, such as a R Shiny cost modeling tool and SharePoint 2010 to 2013 migration. These involved user interviews, requirement decomposition with SMEs, and customer demos. As I transitioned the AMR to sustainment, I had the opportunity to present AMR project results and lessons learned at Northrop Grumman’s Industrial Engineering Community of Practice (NG IE CoP). R (Programming Language), Architecture and +14 skills

Technical Program Manager

Northrop Grumman

June 2021 - December 2021

In this role, I was responsible in scaling the Autonomous Mobile Robot implementation / adoption across the entire plant. This project manager role involved vendor engagement, technical planning/backlog grooming, and project or risk mitigation leadership briefings. This resulted in cost avoidance savings of $2.5M+ at EOY 2025 since implementation, plant wide (6+ cells) usage of AMRs, and 350+ end users trained. Outside of the AMR role, I grew the Tableau Business Intelligence capability for the Industrial Engineering Department. I administered our Tableau server and authored training documentation. R (Programming Language), Architecture and +15 skills

Industrial Engineer

Northrop Grumman

April 2021 - June 2021

In this role, I served as an internal consultant to manufacturing business, engineering, and operations stakeholders. I also managed technology projects. My responsibilities as the internal consultant involved supporting continuous improvement initiatives and engineering support. For example, I trained 30+ technicians on 5S and collaborate with them drive a lean culture within the cell. I also modeled capacity to forecast risks and generate business cases for capital or future contracts. Weekly, I ran metics w/ R, Excel, Access, and SQL for leadership, program managers, or engineers. In managing technology projects, I led the process engineering efforts for Autonomous Mobile Robots (AMR) within a section of the plant. This resulted in improved AMR performance and 8+ material handlers trained on new roles and responsibilities. I also managed our SharePoint for routing requests, IE tool repository, and cell sites. Within SharePoint, I created workflows to automate and drive 99% cycle time decrease of archiving process of completed requests (15 hours to 10 min). Within our IE department, I mentored 5 early career engineers and summer interns. I also worked with department leadership to catalog training gaps, such as a Critical Skills Matrix framework utilized plant wide. R (Programming Language), Visio and +9 skills

Consultant, Strategy Analytics

Herren

June 2020 - April 2021

In this role, I served as a strategic advisor to the Navy Program Executive Office Integrated Warfare Systems (PEO IWS) in analytics and IPT facilitation. My favorite project involved architecting data lake and supply chain reporting capabilities in Power BI for IWS's first generation consolidated GFE data. My deliverables allowed PEO leadership and hardware owners to quickly assess health of platforms within IWS portfolio and discuss risk mitigation plans. This resulted with a gold medal at the IWS Digital Olympics competition and significant leadership recognition. In general, I also co-led and facilitated 3 Integrated Product Teams (IPT), specifically the Informedb Data Lake Development, Configuration Management, and Platform Reviews. Within the firm, I contributed to proposal writing and capability research, such as proposal integer modeling, machine learning applications, Office 365 collaboration, and additive manufacturing use cases. I had the opportunity to also provide guidance on firm wide training (i.e. strengths assessment) and contribute to marketing content / social media strategy. In Fall 2020, I attended Virginia Tech campus recruitment! R (Programming Language), Architecture and +11 skills

Undergraduate Researcher

Virginia Tech

January 2018 - May 2020

Projects sponsored by Northrop Grumman and/or NSF. Fall 2019 - Spring 2020: "Cloud Based Network 3D Printing Cell Incorporating Transfer Learning" • Worked with Benjamin Standfield to design dashboard website using Angular, HTML, and CSS. • Wrote RegEx scripts in Python to read in 3D Printer data. Fall 2018 - Spring 2019: "Robotics Based Nonplanar Additive Manufacturing System" + Placed 1st at Spring 2018 ISE Undergraduate Research Symposium. • Conducted research with Dr. Zhenyu Kong and Rongxuan (Raphael) Wang on methods to transform a Kawasaki robot into a 6-axis, conformal 3D printer for manufacturing/repairing solutions. • Investigated slicer algorithms for optimal nonplanar tool paths. • Developed programs for Kawasaki unit using KR-Term and G-Code. • Collaborate on software development to control and send commands to system using C# and slicer algorithm in MATLAB. • Investigate capabilities of HP 3D scanner to generate point cloud data for counter object design. • Performed literature review to attain further insights on related research progress. Spring 2018: "Multifaceted Analysis of Print Quality in Additive Manufacturing" + Placed 2nd at Spring 2018 ISE Undergraduate Research Symposium. • Conducted research with Dr. Zhenyu Kong, Chen-ang Liu, Andrew Law, and Tyler Entner to detect the onset of process anomalies in fused deposition modeling (FDM) in order to reduce scrap/rework. • Utilized real time in situ process monitoring methods to detect part finish/geometry for possible deformation w/ respects to reheating effects. • Investigated Slic3r and Cura slicer software to discover root cause of simulation to finished part geometry deviation. • Improved current online monitoring capabilities, finally enhancing resolution to 0.32 mm between point cloud data points. • Created and maintained instruction and troubleshooting manual for inDimension3 printer. • Designed CAD models with Tinkercad to test performance of 3D printer and for experiments. HTML, Autodesk Inventor and +2 skills

Undergraduate Researcher

Virginia Tech

March 2016 - May 2016

"Exploring Performance and Persistence in Engineering Related to ESM courses" • Conducted research with Dr. Jacob R. Grohs on methods to improve Engineering Science and Mechanic courses and the effects of different course planning strategies on academic performance. • Earned an IRB Training in Human Subjects Protection Certification. • Learned R statistical programming language in attempt to group 165,000+ data entries on undergraduate engineering courses with the intent to inform and improve large lecture class teaching in Engineering Science and Mechanics courses. R

Gordon was also given offers to work at

phData
Boeing
Lockheed Martin
GE Aerospace

Education

Correlation One (DS4A)

DS4A Career Accelerator 2024 Summer - Fellowship , Data Science

2024 - 2024

Selected for the 2024 cohort within the Correlation One DS4A program, which has a competitive acceptance rate of 3%. --- The DS4A Career Accelerator, sponsored by industry leaders such as Target, Point72, J&J, and Match Group, offers an exclusive and comprehensive program designed to enhance the careers of working professionals and graduate students with 2-3 years of experience. Participants engage in hands-on exercises, professional development, and skills enhancement under the mentorship of professional coaches. The program includes resume improvement, personal branding, portfolio creation, and professional development at no cost. Furthermore, DS4A provides invaluable networking opportunities, connecting participants with top companies to demonstrate their capabilities and pursue data-centric positions. This unique program is tailored to foster diversity, equity, and inclusion in the data industry, helping professionals from underrepresented groups advance their careers.