Francis Mwaseba / Data Scientist / Dar Es Salaam, Tanzania

Stop Losing 15-40% Of Your Revenue To Silent Customer Churn Before It Hits Your Dashboard!

We build custom prediction models that identify which customers are about to leave and which are ready to buy again,how to price your products and what your business will archieve in the future so you can act before the revenue vanishes. No big-tech complexity

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Revenue trajectory
actualspredicted
todayJanMarnowSepDec

From the case studies

Numbers the models moved.

$0Lost stockout revenue recovered in the first 12 months.Pricing Insight Tool
$0Revenue recovered from customers previously considered lost.Customer Churn Model
0%Precision predicting churn 60 days in advance.Customer Churn Model
0%Drop in Bluetooth-pairing support tickets.Customer Sentiment Analysis

Selected work

E-commerce Prediction Models

Pricing Insight Tool01

Pricing Insight Tool

Retail Inventory & Pricing Optimizer

PythonPandasProphetSciPy
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Customer Sentiment Analysis02

Customer Sentiment Analysis

Sentiment Analysis & Segmentation Dashboard

PythonScikit-learnNLTKTF-IDF
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Demand Forecasting Model03

Demand Forecasting Model

ML pipeline for demand prediction

PythonXGBoostPandasScikit-learn
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Customer Churn Model04

Customer Churn Model

ChurnGuard — Customer Churn Predictor

XGBoostSHAPPandasPlotly
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Next step

Let's build clarity together.

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