Machine Learning & Analytics
Predict What Happens Next. Act Before It Does.
Predictive models and analytics dashboards built on your real business data. Churn prediction, demand forecasting, anomaly detection, and LTV scoring — delivered as tools your team actually uses.
Discuss Your Data Project →ML & Analytics Solutions
Customer Churn Prediction
Identify customers likely to leave 30–60 days before they do — so your retention team can act first.
Demand Forecasting
Predict inventory needs by SKU, region, and season — reduce stockouts and overstock simultaneously.
Anomaly Detection
Flag unusual transactions, usage spikes, or quality deviations in real time — before they become costly problems.
Customer LTV Modelling
Score every customer by predicted lifetime value — so you acquire, retain, and upsell the right people.
BI & Analytics Dashboards
Interactive dashboards (Streamlit, Tableau, Metabase) that make data decisions obvious to non-technical stakeholders.
Recommendation Engines
Product and content recommendation systems for e-commerce and media — collaborative filtering and content-based approaches.
Project Pricing
Analytics Dashboard
Custom BI dashboard connected to your data sources. Filters, drill-downs, and automatic refresh.
- ✓Up to 5 KPI views
- ✓Live data connection
- ✓PDF export
- ✓Training session
- ✓30-day support
Predictive ML Model
One production-ready ML model (churn, forecast, anomaly detection, LTV) with evaluation report and deployment.
- ✓Data cleaning + EDA
- ✓Model training + tuning
- ✓Evaluation report
- ✓API / dashboard delivery
- ✓60-day support
Full Data Science Package
End-to-end data science engagement: EDA, 2 ML models, interactive dashboard, and ongoing monthly support.
- ✓Exploratory data analysis
- ✓2 ML models
- ✓Interactive dashboard
- ✓Monthly data report
- ✓90-day support
Tech Stack
FAQ
What data do We need to build a predictive model?
At minimum, 6–12 months of historical records in any format (CSV, SQL, Excel, API). The more history, the more accurate the model. We handle all data cleaning and feature engineering.
How accurate are the machine learning models?
Accuracy depends on data quality and volume. We always provide a full evaluation report showing precision, recall, F1 score, and confidence intervals before handover.
Can the dashboard update automatically with new data?
Yes. Dashboards can be connected to live data sources (Google Sheets, SQL databases, APIs) and refresh automatically on a schedule you define.
Do We need a data warehouse to work with you?
No — We can work from spreadsheets, CRMs, e-commerce platforms, or any database. We can also help set up a lightweight data warehouse if needed.
Ready to Make Your Data Work?
Book a free discovery call. Tell us your data challenge — We will scope a solution and give you a fixed quote.
Book Free Discovery Call →