Merge version_1 into main

Merge version_1 into main
This commit was merged in pull request #1.
This commit is contained in:
2026-03-07 18:21:54 +00:00
2 changed files with 1375 additions and 8 deletions

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@@ -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={[
@@ -223,11 +223,11 @@ export default function DataSciencePortfolio() {
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"
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"
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,
@@ -251,13 +251,13 @@ 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"
}
]
}