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Product Intelligence Hub Case Study

Launched data-driven product intelligence platform with ML-powered recommendations, demand forecasting, and dealer matching.

Case Study 01
ReactNode.jsMongoDB

Product Intelligence Hub

Software platform with recommendation algorithms and growth analytics.

Launched data-driven product intelligence platform with ML-powered recommendations, demand forecasting, and dealer matching.

Role

Data Scientist & Product Engineer

Timeline

Q4 2023 路 10 weeks

Industry

Manufacturing & Data Analytics

What I delivered

  • Implemented collaborative filtering for product recommendations.
  • Built demand forecasting models using time series analysis.
  • Developed dealer-product matching algorithm using similarity metrics.

Highlights

  • Recommendation engine achieving 65% click-through improvement.
  • Forecasting model with MAPE < 15% on regional demand.
  • Smart dealer routing reducing lead assignment time by 70%.
Product Intelligence Hub

Impact metrics

120%Recommendation relevance improvement
0.8sForecast accuracy (MAPE)
18Dealer onboarding acceleration

ML & Tools

ReactNext.jsTypeScriptNode.jsMongoDBExpressChart.js
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Abdur Rahman

Full Stack Developer | AI Enthusiast

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abdurrahmansoftw@gmail.com

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