From pipelines to AI, we help you forecast better, reduce churn, and make faster decisions.

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End-to-End

From ETL pipelines to BI dashboards and ML models.

Proven Impact

12% lower churn. 18% better forecasts. 80% less reporting time.

Industry Breadth

Energy, SaaS, Finance, E-commerce, Blockchain.

Fast Delivery

From discovery to delivery in weeks, not months.

Featured Case Studies

ENTSOG Transparency Dashboards (Energy/Utilities)

Problem:


ENTSOG needed to publish >5GB/day of gas data from European TSOs for 60,000+ stakeholders. Manual Excel-based workflows caused delays, errors, and unreliable forecasts.

Action:

  • Designed and deployed Azure Data Factory pipelines to automate ingestion from APIs, databases, and XML files.
  • Created star-schema data models with data quality checks (freshness, uniqueness, schema validation).
  • Built real-time Power BI dashboards with filters for country, TSO, and indicator.

Result:

  • +18% forecast accuracy for storage data.
  • −40% XML rejects due to schema validation.
  • −80% manual reporting effort through automation.
  • Dashboards power the ENTSOG Transparency Platform, serving regulators and market participants daily.

SaaS Churn Prediction & Forecasting (Fintech SaaS)

Problem:


Recurring revenue growth was threatened by high churn and low forecast accuracy. Customer success teams worked reactively, and finance lacked reliable planning tools.

Action:

  • Built Gradient Boosting + CNN churn models trained on user activity, payments, and support data.
  • Delivered segmentation dashboards in Power BI for churn risk tracking.
  • Integrated model outputs into CRM, enabling proactive outreach.

Result:

  • 12% churn reduction across key cohorts.
  • +14% forecast accuracy for revenue planning.
  • +25% campaign CTR through targeted retention offers.

Executive BI Dashboards (Cybersecurity SaaS)

Problem:


Executives lacked consistent, real-time visibility into revenue, product usage, and adoption metrics. Reporting was manual, slow, and inconsistent.

Action:

  • Designed star-schema models for revenue, product, and support data.
  • Built executive-level Power BI dashboards for revenue KPIs, funnels, and retention cohorts.
  • Partnered with product teams to embed dashboards into workflows.

Result:

  • −80% reporting time for executives.
  • +15% product adoption after identifying feature drop-offs.
  • −30% incident resolution time through anomaly detection.

E-commerce Demand Forecasting (Retail)

Problem:


Forecast accuracy was stuck at 68%, leading to stockouts and costly overstock.

Action:

  • Developed a hybrid CNN + LSTM + Attention model for weekly demand forecasting.
  • Incorporated promotions, seasonality, and external signals into features.
  • Delivered forecasts via dashboards for supply chain teams.

Result:

  • Forecast accuracy improved from 68% → 91%.
  • Reduced stockouts and excess holding costs.
  • Increased customer satisfaction through improved product availability.

Customer Segmentation & Personalization (SaaS)

Problem:


Marketing campaigns were too generic, resulting in low engagement and high acquisition costs.

Action:

  • Applied K-Means and Hierarchical clustering on purchase history, demographics, and engagement data.
  • Identified 5 actionable personas integrated into marketing automation.

Result:

  • +25% email CTR on segmented campaigns.
  • −15% CPA, improving marketing ROI.
  • Stronger personalization across customer journeys.

Ethereum Validator & Staking Analysis (Blockchain/Crypto)

Problem:


Post-Ethereum PoS merge, investors lacked transparency into validator exits, deposits, and reward sweeping patterns.

Action:

  • Built SQL-based dashboards in Dune Analytics to map deposits, withdrawals, and validator activity.
  • Clustered wallet addresses to reveal staking pools and centralized entities.
  • Visualized liquidity flows and validator exits in real time.

Result:

  • Provided actionable insights into validator concentration and risk.
  • Supported investors and researchers in tracking staking flows.
  • Boosted transparency in Ethereum’s staking ecosystem.

Industries We Serve

Energy & Utilities

Transparency reporting, demand forecasting, and grid-load optimization.

SaaS & Fintech

Churn prediction, revenue forecasting, and customer health tracking.

E-commerce

Customer segmentation, personalization, and demand forecasting.

Blockchain

Validator dashboards, staking analytics, and trading models.