Case Studies

Detailed examinations of select projects, highlighting the challenges faced, solutions implemented, and measurable results achieved.

Custom CRM Transformation

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Streamlining Client Management and Sales Process

Custom CRM Transformation for Real Estate Firm

A leading real estate firm struggled with disparate systems for managing client relationships, property listings, and sales tracking. I developed a custom CRM solution that unified all client data, automated follow-ups, and provided real-time analytics on sales performance.

The Challenge

The client was using a combination of spreadsheets, email, and a generic CRM that didn't match their specific workflow. This resulted in data silos, missed follow-ups, and limited visibility into the sales pipeline.

The Solution

I designed and implemented a tailored CRM system integrated with their property database and email systems. The solution included automated client journey workflows, property matching algorithms, and a comprehensive dashboard for sales managers.

The Results

  • 47% increase in lead conversion rate within the first quarter
  • 68% reduction in time spent on administrative tasks
  • Complete visibility into the sales pipeline with accurate forecasting
  • Seamless integration with existing property listings database

Technologies Used

ReactNode.jsPostgreSQLGraphQLAWSSendGrid API
Transforming Raw Data into Actionable Insights

AI-Powered Analytics Platform for Financial Services

A financial services company needed to make sense of large volumes of transaction data to identify patterns, predict customer behavior, and optimize their service offerings. I built a comprehensive analytics platform with AI-driven insights and interactive visualizations.

The Challenge

The client had accumulated years of transaction data but lacked the tools to extract meaningful insights. Their existing reports were static, time-consuming to produce, and didn't support real-time decision-making.

The Solution

I developed a multi-layered analytics platform that combined data warehousing, machine learning models, and an intuitive dashboard interface. The system processed millions of transactions daily to identify patterns, segment customers, and predict future trends.

The Results

  • Identified $1.2M in potential revenue opportunities in the first month
  • Reduced fraud incidents by 34% through pattern recognition
  • Automated reporting saved an estimated 120 staff hours monthly
  • Enabled real-time decision making with 99.9% system uptime

Technologies Used

PythonTensorFlowReactD3.jsBigQueryDockerKubernetes

AI-Powered Analytics Platform

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E-Commerce Platform Modernization

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Performance Optimization and Feature Enhancement

E-Commerce Platform Modernization

An established online retailer faced scaling challenges with their legacy e-commerce platform as their business grew. I led a comprehensive modernization effort to rebuild their platform with a microservices architecture, resulting in significantly improved performance and new capabilities.

The Challenge

The client's monolithic e-commerce platform was struggling with peak traffic periods, had long deployment cycles, and couldn't easily accommodate new features needed to stay competitive.

The Solution

I redesigned their architecture using a microservices approach, implementing a scalable cloud infrastructure, and rebuilding the frontend with a modern React-based approach. The new system included enhanced search, personalization, and a streamlined checkout process.

The Results

  • Page load time reduced by 67%, increasing conversion rates by 23%
  • System now handles 10x previous peak traffic without performance degradation
  • Deployment frequency increased from monthly to several times per day
  • Mobile conversion rate improved by 41% with the responsive redesign

Technologies Used

MicroservicesReactNode.jsRedisElasticsearchAWSCI/CDDocker

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