Research Projects
This page showcases my current and completed research projects, complete with audio explanations and detailed documentation.
Active Projects
Multimodal Earnings Conference Call Analytics Tool
Duration: 2024 - Present
Overview: Developing an AI-powered system that combines audio processing, natural language processing, and financial analysis to extract meaningful insights from corporate earnings calls.
Key Features:
- Automated transcription and speaker identification
- Sentiment analysis and tone detection
- Financial metrics extraction
- Multi-agent AI processing pipeline
- Real-time visualization dashboards
Technologies: Python, CrewAI, OpenAI API, Speech Recognition, Pandas, Streamlit
Audio Explanation:
[Upload your audio explanation to the /files/audio/ folder]
| Status: In Development | GitHub Repository |
AI-Driven FinTech Solution Framework
Duration: 2023 - Present
Overview: Creating a comprehensive framework for integrating artificial intelligence solutions into existing financial technology infrastructure.
Research Questions:
- How can traditional financial institutions adopt AI without disrupting core operations?
- What are the optimal integration patterns for AI in regulatory-heavy environments?
- How do we measure the ROI of AI implementations in FinTech?
Audio Explanation:
Publications: Coming Soon
Completed Projects
Automated Financial Document Processing System
Duration: 2022 - 2023
Overview: Developed a machine learning system for automatically categorizing and extracting key information from various financial documents.
Results:
- 94% accuracy in document classification
- 60% reduction in manual processing time
- Successfully deployed in three partner organizations
Audio Explanation:
Publications: [Link to published paper]
Research Methodology
My research approach combines:
- Theoretical Foundation: Grounding work in established financial and computer science theory
- Practical Application: Ensuring all research has real-world applicability
- Industry Collaboration: Working closely with financial institutions and FinTech companies
- Open Source Contribution: Making tools and findings available to the broader research community
Funding & Grants
- [Grant Name] - £XX,XXX (2024-2025)
- [University Research Fund] - £X,XXX (2023-2024)
Collaboration Opportunities
I’m always interested in collaborating on projects that combine AI with financial applications. If you’re working on related research or have industry challenges that might benefit from academic collaboration, please get in touch.
Note: Audio files should be uploaded to /files/audio/ in your repository. The academicpages theme supports various audio formats including MP3, WAV, and OGG.