From 9ab20cb3f9c503b30303436a68c70150fe8f693e Mon Sep 17 00:00:00 2001 From: bender Date: Sat, 7 Mar 2026 18:24:05 +0000 Subject: [PATCH] Update src/app/page.tsx --- src/app/page.tsx | 16 ++++++++-------- 1 file changed, 8 insertions(+), 8 deletions(-) diff --git a/src/app/page.tsx b/src/app/page.tsx index 5f2d217..87458f6 100644 --- a/src/app/page.tsx +++ b/src/app/page.tsx @@ -58,7 +58,7 @@ export default function DataSciencePortfolio() { testimonials={[ { name: "Forecast Accuracy", handle: "Prophet Model", testimonial: "19% more accurate than ARIMA in predicting retail demand patterns with advanced seasonality handling", rating: 5, - imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AQ8Q718DwJVd8ARNbVYjSdJYfR/a-professional-headshot-photograph-of-a--1772907654284-907207b0.png" + imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AQ8Q718DwJVd8ARNbVYjSdJYfR/a-professional-headshot-photograph-of-a--1772907654284-907207b0.png?_wi=1" } ]} buttons={[ @@ -182,11 +182,11 @@ export default function DataSciencePortfolio() { }, { id: "2", name: "Demand Prediction Accuracy", role: "Forecast Precision", company: "Seasonality Insights", rating: 5, - imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AQ8Q718DwJVd8ARNbVYjSdJYfR/a-time-series-visualization-showing-reta-1772907655531-6d88730e.png" + imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AQ8Q718DwJVd8ARNbVYjSdJYfR/a-time-series-visualization-showing-reta-1772907655531-6d88730e.png?_wi=1" }, { id: "3", name: "Revenue Planning", role: "Margin Optimization", company: "Inventory Carrying Costs", rating: 5, - imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AQ8Q718DwJVd8ARNbVYjSdJYfR/a-forecast-visualization-showing-histori-1772907654869-c143cdcb.png" + imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AQ8Q718DwJVd8ARNbVYjSdJYfR/a-forecast-visualization-showing-histori-1772907654869-c143cdcb.png?_wi=1" } ]} kpiItems={[ @@ -222,10 +222,10 @@ export default function DataSciencePortfolio() { tagIcon={Zap} products={[ { - id: "1", brand: "Data Exploration", name: "Historical Sales Analysis", price: "Interactive", rating: 5, reviewCount: "Daily", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AQ8Q718DwJVd8ARNbVYjSdJYfR/a-time-series-visualization-showing-reta-1772907655531-6d88730e.png", imageAlt: "Historical sales data explorer" + id: "1", brand: "Data Exploration", name: "Historical Sales Analysis", price: "Interactive", rating: 5, reviewCount: "Daily", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AQ8Q718DwJVd8ARNbVYjSdJYfR/a-time-series-visualization-showing-reta-1772907655531-6d88730e.png?_wi=2", imageAlt: "Historical sales data explorer" }, { - id: "2", brand: "Forecasting Tools", name: "30-Day Demand Predictor", price: "Real-time", rating: 5, reviewCount: "Updated", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AQ8Q718DwJVd8ARNbVYjSdJYfR/a-forecast-visualization-showing-histori-1772907654869-c143cdcb.png", imageAlt: "Demand forecast visualization" + id: "2", brand: "Forecasting Tools", name: "30-Day Demand Predictor", price: "Real-time", rating: 5, reviewCount: "Updated", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AQ8Q718DwJVd8ARNbVYjSdJYfR/a-forecast-visualization-showing-histori-1772907654869-c143cdcb.png?_wi=2", imageAlt: "Demand forecast visualization" }, { id: "3", brand: "Model Insights", name: "Prophet Components Analysis", price: "Interpretable", rating: 5, reviewCount: "Detailed", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AQ8Q718DwJVd8ARNbVYjSdJYfR/a-time-series-decomposition-visualizatio-1772907654663-9d820912.png", imageAlt: "Seasonality components breakdown" @@ -248,13 +248,13 @@ export default function DataSciencePortfolio() { { id: "expertise", groupTitle: "Expertise", members: [ { - id: "1", title: "Time Series Forecasting", subtitle: "ARIMA, Prophet, LSTM neural networks", detail: "Statistical and machine learning approaches to temporal data prediction", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AQ8Q718DwJVd8ARNbVYjSdJYfR/a-professional-headshot-photograph-of-a--1772907654284-907207b0.png" + id: "1", title: "Time Series Forecasting", subtitle: "ARIMA, Prophet, LSTM neural networks", detail: "Statistical and machine learning approaches to temporal data prediction", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AQ8Q718DwJVd8ARNbVYjSdJYfR/a-professional-headshot-photograph-of-a--1772907654284-907207b0.png?_wi=2" }, { - id: "2", title: "Business Analytics", subtitle: "Inventory optimization, demand planning", detail: "Translating data insights into actionable business strategies", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AQ8Q718DwJVd8ARNbVYjSdJYfR/a-professional-headshot-photograph-of-a--1772907654284-907207b0.png" + id: "2", title: "Business Analytics", subtitle: "Inventory optimization, demand planning", detail: "Translating data insights into actionable business strategies", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AQ8Q718DwJVd8ARNbVYjSdJYfR/a-professional-headshot-photograph-of-a--1772907654284-907207b0.png?_wi=3" }, { - id: "3", title: "Full-Stack Data Science", subtitle: "Python, SQL, visualization, deployment", detail: "End-to-end project execution from exploration to production", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AQ8Q718DwJVd8ARNbVYjSdJYfR/a-professional-headshot-photograph-of-a--1772907654284-907207b0.png" + id: "3", title: "Full-Stack Data Science", subtitle: "Python, SQL, visualization, deployment", detail: "End-to-end project execution from exploration to production", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AQ8Q718DwJVd8ARNbVYjSdJYfR/a-professional-headshot-photograph-of-a--1772907654284-907207b0.png?_wi=4" } ] } -- 2.49.1