Data Science & Data Engineering Case Studiesuser2021-09-14T06:17:46+00:00

Case Studies

Automated Reports Case Study

Faster and Automated Global BI Reporting with IoT Analytics

Built automated report and visualize high-quality data on Tableau dashboard

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2.5% improvement in OEE of machines

Built and automated an AI system to improve the overall equipment effectiveness (OEE)

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80% performance improvements in data pipelines

Built scalable and high performing data pipelines in an Azure data platform

Customer retention by churn analytics for leading garden supplies company

Churn Analytics Improves Customer Retention by 70%

Predictive machine learning models to determine customers likely to churn

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15% lift in new user conversion using MTA and MMM

Real-Time Demand Generation Attribution

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Automated Data Ingestion from 10+ retailers for near real-time insights into sales trends for a CPG company

Data Lake creation

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250TB+ data processed for faster customer analytics

Customer Analytics and Data Warehousing

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70% better accuracy for demand forecasting

Demand Forecasting

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65% cost savings with efficient Cloud Migration to GCP

Cloud Migration

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100MN+ rows of data per day processed for improved trade surveillance

Trade Surveillance

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7% sales uplift using 1:1 personalized email marketing

1:1 Personalized Marketing

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Production-ready system by building and integrating scalable ML models

Productionize Demand Forecasting Models

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8% profitability boost through personalized recommendation engine

Personalized Recommendations

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11% improvement in marketing campaigns using MTA

Marketing Attribution

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24×7 monitoring and support using highly available, robust systems

Improved Data Pipeline Availability

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11% match rate improvement with adaptive identity graphs

Identity Graphs

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30% QoQ revenue uplift with price optimization engine

Price Optimization

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100MN+ personalized emails sent by productionizing MAB model

Productionize Personalized Marketing Models

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33% improvement in ROMI using CLTV models

CLV Prediction

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85% reduction in false positives using real-time fraud detection

Fraud Detection

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Faster and more accurate settlements through automation

Property Claim Estimation

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Enhanced transparency and visualization of millions of customer data points

Audience Targeting

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Unified interactive analytics and external reporting for enhanced transparency

Unified Analytics Platform

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15% reduction in premium using ML-backed underwriting system

Group Risk Scoring of Patients

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79% accuracy of the retargeting model

Audience Segmentation

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Faster analysis on 250TB+ data and creation of a SSOT

Single Source of Truth Creation

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Automatic bidding with 80,000+ coefficients

Bid Optimization

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80% precision improvement using ML-based approach to lead buying

Lead Buying

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10% increase in revenues with promotion response modeling

Promotion Response Modeling