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Schedule Interview NowMy name is Matthew B. and I have over 10 years of experience in the tech industry. I specialize in the following technologies: JavaScript, R, SQL, Python, Management Consulting, etc.. I hold a degree in Bachelor of Engineering (B.Eng.), Master of Business Administration (M.B.A.). Some of the notable projects I’ve worked on include: Shopify Analytics App – Full-Stack BI Solution, Streamlining the triggering of members for clinical interventions, Self-service analytics tool, Portfolio Website, NBA Daily Fantasy Optimizer. I am based in Lakewood, United States. I've successfully completed 5 projects while developing at Softaims.
I'm committed to continuous learning, always striving to stay current with the latest industry trends and technical methodologies. My work is driven by a genuine passion for solving complex, real-world challenges through creative and highly effective solutions. Through close collaboration with cross-functional teams, I've consistently helped businesses optimize critical processes, significantly improve user experiences, and build robust, scalable systems designed to last.
My professional philosophy is truly holistic: the goal isn't just to execute a task, but to deeply understand the project's broader business context. I place a high priority on user-centered design, maintaining rigorous quality standards, and directly achieving business goals—ensuring the solutions I build are technically sound and perfectly aligned with the client's vision. This rigorous approach is a hallmark of the development standards at Softaims.
Ultimately, my focus is on delivering measurable impact. I aim to contribute to impactful projects that directly help organizations grow and thrive in today’s highly competitive landscape. I look forward to continuing to drive success for clients as a key professional at Softaims.
Main technologies
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Microsoft
Built a general-purpose analytics application for Shopify merchants, integrating data from the Shopify API and PostHog to deliver actionable business insights. Designed and implemented an end-to-end ELT pipeline using Airbyte for ingestion, BigQuery for warehousing, and dbt for data transformation and modeling. Visualized insights through a custom Lightdash deployment connected to a semantic layer defined in dbt. The system supports modular expansion, custom metrics, and merchant-specific dashboards—enabling data-driven decisions without requiring technical expertise.
The Client An opportunity assessment team within a US.-based health insurer, recognized the need to harness the power of data for a deeper understanding of their members. The goal was to efficiently identify member cohorts and gain insights into the clinical and financial impacts of various levers to improve member outcomes. Challenge The client was utilizing a vast array of tools for data visualization and analysis. While each tool had its specific use, they collectively lacked the versatility offered by an all-encompassing, self-service analytics tool.
My personal website
Developed an application in R Shiny to help user build optimal daily fantasy sports lineups Developed predictive model using machine learning to accurately project NBA player statistics.
Bachelor of Engineering (B.Eng.) in Biomedical engineering
2007-01-01-2011-12-01
Master of Business Administration (M.B.A.) in Supply Chain and Analytics
2013-01-01-2015-01-01