Ravi Shelly — Business Development Executive

Since starting my career, I've specialized in helping businesses understand and leverage their data effectively. I've worked extensively in database administration, business analysis, and project management, with particular expertise in streamlining processes and generating actionable insights for senior leadership. At Sears, I took a deep dive into complex data sets, identified critical business trends, and clearly communicated my findings directly to executives, including the CEO and board of directors. By improving the reporting systems, I managed to reduce data redundancy significantly and dramatically increased processing speeds, enabling quicker and more informed decisions. I was also deeply involved in the strategic shift from traditional databases (Teradata) to cloud-based solutions (Google Cloud Platform), managing databases and ensuring smooth operations throughout the migration. Additionally, earlier in my career, I developed quantitative trading strategies for the US equity market, with my models directly contributing $3 million in EBITDA to the company. Recently, I completed an Engineering Project Management program from the University of Auckland, which has further sharpened my project leadership and strategic planning skills. Specialties: Strategic Project Management and Business Analysis Database Administration Quantitative Analysis and Data-driven Decision Making Process Improvement and Automation Cloud Migration and Management (GCP) Skills and Experience: I have extensive experience in high-level data analysis, database management, and project leadership. Proficient in various database systems, I'm skilled at translating complex technical data into clear, strategic recommendations. My analytical approach, combined with strong project management skills, enables me to lead initiatives effectively from conception to execution. Competencies: My strengths include meticulous attention to detail, strong analytical thinking, and effective communication. I thrive in collaborative environments, providing clarity and direction while maintaining a practical and results-driven approach. I'm organized, proactive, and adept at both leading teams and independently driving projects to successful completion.

Stackforce AI infers this person is a Data Engineer and Business Analyst with expertise in SaaS and Fintech.

Location: Auckland, Auckland, New Zealand

Experience: 8 yrs 3 mos