Data Analytics, BI & Reporting Platforms

Design and implement a comprehensive purchase intelligence platform featuring SDKs, data pipelines, APIs, UI components, and campaign management tools to improve onboarding, data scalability, and user experience.

Development of an integrated data processing and visualization system that consolidates sources, performs analytics, and provides interactive dashboards.

Create a customizable, real-time financial analytics platform with advanced data visualization, subscription management, and secure high-volume data handling.

Implement a secure, scalable analytics platform that extracts, cleans, and visualizes customer and product data, enabling personalized service offerings.

Development of an AI-driven data profiling and quality monitoring system that automatically classifies, analyzes, and categorizes incoming data, with real-time dashboards and alert mechanisms for data quality issues.

Develop a machine learning-based platform that processes transaction data to extract merchant details, categorize merchants, and score URLs resembling human browsing behavior, thus enabling comprehensive merchant insights for banks.

A secure, high-speed, and scalable data ingestion and processing system for financial indexes, capable of handling data from multiple sources including CME, Bloomberg, and Reuters, with real-time and batch processing capabilities, data validation, and automated backup and recovery features.

Development of a comprehensive data governance and risk analysis platform capable of monitoring data quality metrics, performing rootcause analysis, supporting scenario and trend analytics, and providing audit-ready documentation through an accessible interface.

Build a fully interactive, visually rich web portal that replaces static PDF reports, featuring customizable charts and data exploration capabilities.

An integrated system that automates news collection, processes data using AI for classification and summarization, and provides visual and interactive insights for users.

Design and implement a comprehensive data engineering solution, including automated ETL pipelines, metadata management, and API services, supported by robust monitoring, security, and usability features.

A comprehensive system capable of efficient data ingestion, processing, and reporting with modular architecture and future AI integration capabilities.