Sagiv Some Email & Phone Number

Kirkland, Washington, United States

San Francisco Bay Area

At a $150m AUM asset manager, spearheaded the development, launch, and continuous improvement of a comprehensive data and analytics system, supporting scalable investment operations.* Team and Project Management: Led a team of three data engineers and analysts in collaboration with the CIO and Investment team to implement cutting-edge research and systems, focusing on automation and modularization to multiply team efficiency and success while ensuring business continuity. Reduced headcount requirements by approximately 75% compared to traditional asset management firms, supporting an asset portfolio scalable to the billion-dollar level.* Internal Consulting & Alternative Data Initiatives: Proposed, modeled, and secured approval for 15 data projects from the CIO, including a predictive model with 99% accuracy for short candidates and the Professionals Scoring System that ranked over 2 million professionals, driving targeted, successful hires at multiple portfolio companies.* Data Architecture, ETL, and Visualization: Designed, built, and managed a 4TB+ PostgreSQL database encompassing financial, qualitative, and filings text data using an extensive Python-based ETL pipeline from 7 separate data sources. The system pulled millions of daily data points, ran 450 financial quantitative, qualitative, and sentiment screens, and performed 250,000 keyword NLP searches. Organized these into 9 dynamic React.js dashboards for daily evaluation of 10,000+ public companies, enabling faster decisions, a broader market view, and significantly lower headcount compared to traditional strategies.* Predictive AI Initiatives: Led the integration of 110 OpenAI API implementations for automated data summarization and parsing, enhancing data processing accuracy by 85% and reducing project costs by $200,000 annually.* Cloud Implementations: Designed and budgeted an AWS cloud database and dashboarding system using the EC2, RDS, S3, ECS, and IAM services.

San Francisco Bay Area

* Statistical Analysis: Tested and replicated approximately 40 academic papers using internal data, integrating methodologies and lessons learned into sophisticated screening tools for company evaluation and market analysis.* Investment Research: Conducted in-depth investigative research on 60 public companies and industries, producing detailed reports to inform investment decisions.

Irvine, Ca

Managed and monitored $80 million monthly high-risk credit card transaction portfolio for fraud, compliance, and financial risk. Led merchant investigations, generated financial reports and data analyses, and proposed and created tools that improved portfolio performance.Accomplishments:* Risk Management: Continuously met demanding risk and revenue targets by balancing qualityservice with proactive risk mitigation.* Process Automation and Efficiency: Designed and implemented new process automation tools inSQL, Access, and Excel, increasing department analysis efficiency by 40%.