Aashi Thakkar
Business Data Analyst @RBC Capital Markets
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WORK HISTORY
Business Data Analyst @RBC Capital Markets
Toronto, ON, CA
EDUCATION
BITS Edu Campus: BABARIA INSTITUTE
Bachelor of Engineering - BE, Computer Engineering
University of Windsor
Masters of Applied Computing, Computer Engineering
Parth School of Science and Competition
HSC, Science
ABOUT AASHI THAKKAR
With a strong foundation in software development and over three years of industry experience, I bring a unique blend of technical acumen and analytical thinking to my current role as a Business Data Analyst in the Gen AI, Alternative Data, and Research Technology space. I specialize in transforming complex data into actionable insights, partnering closely with cross-functional teams to enable smarter, faster, and more strategic decisions. My background in full-stack development equips me to effectively bridge business needs with technical feasibility — ensuring scalable, user-centered digital solutions. In my current role, I: Analyze and validate large volumes of structured and unstructured data from emerging sources Collaborate with data scientists and engineers to integrate Gen AI tools into research workflows Support the design and evolution of next-gen research platforms and data products Translate stakeholder needs into precise requirements, wireframes, and user journeys Contribute to roadmap planning and data-driven product innovation Career Vision: To evolve into a AI Product Manager, shaping innovative solutions at the intersection of Gen AI, data, and research that unlock business value and elevate user experience. Key Skills & Expertise Business/Data Analysis Requirements Gathering | Process Optimization | User-Centric Design Stakeholder Collaboration | Research Platform Development | Agile/Scrum Data Modeling | SQL | APIs | Technical Documentation Product Strategy | Research Tech | Insight Generation | Roadmapping I’m passionate about leveraging emerging technologies to solve real-world problems and I am always open to learning, connecting, and creating value in the product-tech ecosystem. Let’s connect and build the future of data-driven innovation together!
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