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Led a multi-site operational observation and performance improvement initiative to assess front-line workflows, identify inefficiencies,
and drive process optimization across multiple locations.
Performed detailed workflow analysis through on-site observations, stakeholder engagement, and performance assessments to uncover operational gaps and inconsistencies.
Designed and delivered targeted process improvements to enhance efficiency, strengthen team coordination, and standardize workflows across sites.
Resulted in measurable improvements in operational performance, communication, and overall service delivery.
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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It’s a common misconception that automation is a "set it and forget it" kind of thing. Over the past few days, I’ve been deep in the setup for a large-scale online event where the data flow between Typeform, OneDrive (Excel), and Slack felt more like an obstacle course at first.
What I often see in these projects is a massive manual workload happening behind the scenes: attendee data being exported, analyzed, and shoved into spreadsheets by hand, while the team on Slack doesn't have the info they need when they need it.
This doesn't just eat up time; it drains the mental capacity needed for MMAs (Money Making Activities). You really just want a system that handles the logic while you focus on managing the exceptions.
My solution: The data flows automatically now, but I’ve integrated an AI step that categorizes responses before they even hit the Slack Canvas.
Building this took several hours and a few feedback loops with Grok and ChatGPT, but the result is that manual operations were cut down to just a few minutes, replaced by occasional maintenance.
Of course, it’s not "set and forget." If the form changes or a new event comes up, I need to update the Zaps and maybe tweak the AI’s categorization. But that’s qualified maintenance instead of repetitive copy-pasting.
One side effect that clients value most: This shifts the process from constant human dependency to sporadic system maintenance. The workflow no longer stalls if someone is away—the system just keeps running.
Watching the logic chain verify and file real data correctly makes you realize just how much brain capacity was tied up in the old process.
If you’re building an event setup right now and feel like your tools are clashing instead of flowing: Let me know in the comments what your biggest workflow time-sink is.
This project is a Business Intelligence and data visualization initiative aimed at tracking organizational performance. It utilizes professional data tools—specifically Tableau and Power BI—to transform raw datasets into interactive, high-level dashboards. The project focuses on two primary areas job market and workforce demographics to understand hiring trends and qualifications, and performing sales and inventory analysis for a retail environment to monitor profit margins, product demand, and historical sales trends.
This was a normal video, which we edited to try and make something different and creative.👍🏻✨
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