I built a complete funnel tracking dashboard that brought all our marketing data into one place. It automatically pulled data from Facebook Ads, Shopify, and other sources into Power BI, so the team could see key metrics like CTR, conversion rate, AOV, and earnings per click in real time.

Before this, media buyers and marketers had to update reports manually and deal with inconsistent data. After automating everything, reports updated instantly and accurately, making it easier for the marketing team to spot what was working and fix what wasn’t.

The new system replaced the need for Google Analytics in our CRO reviews and became the main tool for tracking performance week over week. It saved time, reduced errors, and helped the team make faster, clearer decisions.

When the fulfillment team struggled to monitor SKU-level sales and forecast inventory accurately, I built a Fulfillment Dashboard that tracked daily product-level sales using Excel and PowerBI.

This system transformed raw sales data into clear, actionable insights allowing the team to predict restock needs within days instead of weeks.

The result: faster decision-making, fewer stockouts, optimized inventory levels, and recognition from leadership for enabling a more data-driven, efficient fulfillment process.

I developed a Finance Income and P&L Dashboard using SQL and Power BI to centralize key business metrics  giving leadership a clear view of revenue trends, ROAS, and cost efficiency.

The dashboard unified financial data from multiple sources, enabling faster analysis, cross-functional visibility, and real-time performance tracking across departments.

Within the first 90 days, it recorded 1,294 total views by 11 active stakeholders, demonstrating strong adoption, usability, and trust among finance, operations, and strategy teams.

The project ultimately became a core reporting asset, earning praise for its accuracy, design, and contribution to data-driven decision-making.

I built a Creative Testing Dashboard to improve how the business tests creatives. 

The team had noticed growing testing costs without a clear view of which ads were actually performing well over time. 

To solve this, I developed an interactive dashboard that analyzed creative performance on a cohort basis, separating seasonal campaigns from evergreen ones and introducing a view that compared internal and external agency outputs. 

This gave the team a clear way to identify weekly creative winners, reduce wasted testing spend, and focus resources on scaling top-performing ads. The result was a measurable improvement in creative efficiency and stronger returns from each testing cycle.

The marketing team of a D2C brand had limited insight into how influencer partnerships performed over time, relying mostly on one-off reports that failed to capture true campaign impact. I swinged in to design a solution that could track outreach and deal conversions with more clarity. 

Using Power BI, I built the a cohort-based dashboard, allowing the team to view weekly outreach-to-deal trends and long-term retention patterns. 

This shift from static reporting to dynamic cohort tracking exposed the most profitable influencer segments, optimized targeting decisions, and established a reliable foundation for ongoing ROI measurement.

When the company faced a major bottleneck — no integration between Klaviyo and CheckoutChamp, customer rebill reminders were failing, costing recurring revenue.

I engineered a custom ETL-based Rebill Automation System that bridged the gap between these platforms, syncing subscriber and billing data seamlessly.

This innovation allowed automated email and SMS reminders to be sent for every renewal, restoring reliability and improving customer retention.

The result: 100% delivery accuracy, complete system recovery, and a direct contribution to achieving the company’s $1M+ monthly recurring revenue goal turning a technical gap into a revenue-generating system.

When the company began bleeding ad spend due to website downtime, active campaigns continued running even when the site was unavailable — wasting thousands in potential revenue.

I engineered an automated uptime monitoring system that continuously checked domain availability and triggered instant alerts via Zapier the moment downtime occurred.

This ensured immediate response, minimized disruption to live campaigns, and stopped the ad spend bleed in real time.

The result: improved reliability, faster incident response, and recognition for preventing potential losses worth millions while strengthening overall system performance and business continuity.