

- Location
- London, Ontario, Canada
- Bio
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I’m Denzel Anoliefo, pursuing a specialization in Computer Science and major in Financial Modelling. I’m passionate about exploring new opportunities that push me closer to my ultimate goal of becoming a quantitative trader/developer. I thrive in dynamic environments where problem-solving, critical thinking, and adaptability are key. My journey so far has been defined by a relentless drive to learn, grow, and push beyond the status quo.
I’m always seeking new challenges that not only help me expand my knowledge but also enable me to apply my skills in meaningful ways. Whether it’s collaborating on innovative projects or stepping into uncharted territories, I’m committed to developing solutions that make an impact. I’m ready for the next opportunity that will shape my future in the world of quant finance.
Let’s connect if you’re looking for someone who is hungry for success, determined to make an impact, and always ready to take on the next challenge!
- Resume
- MyResume.pdf
- Portals
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Vancouver, British Columbia, Canada
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Toronto, Ontario, Canada
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- Categories
- Artificial intelligence Data science Financial modeling Machine learning Software development
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Achievements



Recent projects
Work experience
AI Software Developer
COOCO
June 2025 - July 2025
• Spearheaded the development of a chatbot for a cooking and kitchen assistant platform, using the Microsoft Bot Framework and Azure Bot Service to manage conversational flow and dialogue state.
• Integrated natural language understanding with LUIS and QnA Maker, enabling the bot to handle recipe suggestions, meal planning, inventory tracking, and FAQs with high intent accuracy.
• Enhanced user interaction by leveraging Azure OpenAI API to generate dynamic responses for meal plans and recipe recommendations based on ingredients, dietary needs, and user behavior.
MExPO Co-op
OPTrust
Toronto, Ontario, Canada
September 2024 - April 2025
• Spearheaded the development of a PowerShell automation workflow, saving 10+ hours weekly and
achieving 100% accuracy in printing 1,000+ pension-related documents monthly, addressing
inefficiencies in document tracking and security breaches.
• Streamlined enrolment processing for 1,200+ members, cutting processing times by 2 days and saving
16+ hours monthly, enhancing operational efficiency and member satisfaction.
• Developed Power BI dashboards to visualize key metrics, including member inquiries and processing
times reducing manual reporting efforts by 50% and enabling seniors to make data-driven decisions
faster.