Welcome to the Brackhurd Project Portfolio, a showcase of our dynamic work across multiple industries. This page features a curated selection of projects that highlight our expertise in business development, data analytics, dashboard creation, and strategic consulting. From uncovering real estate market trends to designing powerful AI-driven platforms, each project reflects our commitment to actionable insights and measurable impact. Whether it’s optimizing inventory systems, boosting e-commerce growth, or enhancing customer support through machine learning, our work is grounded in data, strategy, and innovation. We emphasize performance, efficiency, and transformation—delivering real value to our clients. Each case study is built around real challenges and data, showcasing how our tailored solutions helped unlock growth and operational excellence. At Brackhurd, we turn complex problems into clear, data-backed strategies that drive success. Explore the page to see how we bring ideas to life through intelligent solutions.
Description:
Using Python, I explored a rich dataset of properties, uncovering trends in pricing, rental income, and vacancy rates. The analysis reveals key insights such as the impact of property size, location, and construction year on market performance.
This project combines data exploration, visualization, and feature engineering to deliver actionable intelligence for real estate investors and decision-makers.
Let’s unlock data-driven strategies for real estate success!
Description:
As a Business Development & Strategic Consultant, I conducted an in-depth case study on e-commerce growth strategies, using sample data to ensure confidentiality. The project involved business analysis, financial assessment, problem identification, and data-driven solution implementation. By optimizing operations, marketing, and logistics, we achieved a 30% revenue increase and an 850% ROI within 3 months. This study highlights the transformative impact of strategic consulting and continuous improvement in business development.
Description:
This project focuses on business development consulting for an AI/IT company facing financial inefficiencies, low client retention, and operational challenges. By implementing strategic solutions, the company improved its financial performance, optimized project management, and strengthened its market position, leading to sustainable growth and increased profitability.
• Key Aspects Covered in This Project:
- Financial analysis and cost optimization.
- Client retention and revenue enhancement strategies.
- Agile and DevOps implementation for project efficiency.
- Brand positioning and digital marketing strategies.
- Subscription-based service model for revenue stability.
- AI-driven automation and CRM integration.
- Competitive benchmarking and market expansion strategies.
Description:
The purpose of this dashboard is to provide actionable insights into the sales performance of a food delivery company. It offers a comprehensive view of key metrics such as total sales, average order value, customer retention rate, and delivery efficiency. By visualizing trends and patterns, the dashboard empowers decision-makers to identify growth opportunities, optimize operations, and enhance customer satisfaction. It also enables tracking performance across regions, payment methods, and timeframes, ensuring data-driven strategies for achieving business objectives effectively.
Description:
This project involves creating an advanced Power BI dashboard to manage and analyze inventory data effectively. The dashboard provides key insights into stock performance, category trends, monthly stock flow, and top-performing items using KPIs, charts, and tables. By analyzing the data, critical issues such as stock balance deficits and inconsistent monthly trends were identified. Tailored Business Intelligence (BI) solutions were developed, including enhanced procurement planning, seasonal demand forecasting, and stock prioritization strategies. The project demonstrates the power of data visualization and analysis in finding problems and providing actionable solutions for efficient inventory management and operational excellence.
Description:
"ProdCust_Track_DB (Data Analysis)" - is a comprehensive MySQL project designed to analyze customer behavior, order trends, and product performance. The database includes customer details, order statuses, and product data, enabling advanced insights like revenue tracking, product popularity, and industry-specific analysis. This project demonstrates efficient data modeling and query execution, providing actionable insights for strategic decision-making in business operations.
Description:
This case study presents the end-to-end design, implementation, and impact of an AI‑driven customer support system. Featuring both strategic insights and technical depth, it covers:
- Cost Reduction: Achieved ~40% savings in support costs by automating routine inquiries.
- ⏱ 24/7 Availability & Fast Response: Reduced average response time from 15 min to ~3 min with round-the-clock AI bots.
- Satisfaction Boost: Customer satisfaction rose from ~72% to ~85% through consistent, high‑quality interactions.
- Seamless Human Escalation: Smooth handoff protocols ensure complex issues are handled by live agents.
- NLP & Continuous Learning: AI continually refines its answers using NLP, machine learning, and historic conversation data.
- Analytics Dashboard: Real‑time tracking of key metrics enables data-driven tweaks and performance improvements
- Scalability During Peaks: Handled up to 200% more inquiries during peak seasons without extra staffing.
This case study demonstrates how integrating advanced NLP, machine learning, and a feedback loop can transform customer support—delivering superior efficiency, scalability, and satisfaction.
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