Consulting-Quantitative Research

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STATISTICAL MODELLING & ANALYSIS

Client: A consulting firm focused on developing their data assets and benchmarking products
Need: Create a secure, scalable platform to store and anonymize client data, calculate real-time benchmarks, and allow filtered insights by peer sets.

Requirement gathering & user-centered design: Collaborated with the client to define platform layout, align features with business needs, and streamline functionality for an optimal user experience.
Secure, scalable architecture: Built a modular storage system with end-to-end encryption, ensuring compliance, data integrity, and scalability.
Automated data ingestion & anonymization: Developed an ETL pipeline to efficiently process, clean, and anonymize data, stripping all client identifiers for enhanced privacy
Real-time benchmarking engine: Implemented R-based algorithms to generate live benchmarks with peer-set filtering, enabling dynamic comparisons
Interactive dashboards for custom analysis: Leveraged AG Grid for intuitive, interactive dashboards, allowing users to explore and export tailored insights
Real-time performance monitoring: Integrated monitoring tools to track system performance, maintain data integrity, and ensure platform reliability

50% faster analysis time: Automated data ingestion and real-time benchmark calculations cut processing time in half
Enhanced client confidentiality: Strengthened data security protocols improved client confidence, leading to higher engagement
Scalable growth support: Enabled the firm to manage 3× more data without additional infrastructure investment, ensuring long-term sustainability