Samiul Ansari
AI & Data Architect - Director
Professional Overview
Samiul Ansari is an accomplished AI & Data Architect with over a decade of experience driving digital transformation initiatives across various industries. As the Director of AI & Data Architecture at Recursion, he leads cross-functional teams in designing scalable, data-driven solutions that harness the power of artificial intelligence and predictive analytics. Samiul's expertise spans the full data lifecycle, from data engineering and model development to real-time deployment and operationalization.
Experience Summary
Current Role
As the AI & Data Architect - Director at Recursion, Samiul is responsible for defining the company's data strategy and overseeing the implementation of advanced analytics capabilities. He collaborates closely with business stakeholders to identify high-impact use cases, optimizing data pipelines and machine learning models to deliver tangible business value. Under Samiul's leadership, Recursion has achieved significant improvements in operational efficiency, customer experience, and revenue growth through the strategic application of data-driven insights.
Career Progression
Prior to his current role, Samiul held various leadership positions in the data and technology space. As the Chief Data & Technology Officer (CDTO) at LovedBy, he was instrumental in transforming the organization's data infrastructure and driving the adoption of cutting-edge AI/ML solutions. In his previous role as CTO and Head of Data Science, Samiul led the development of predictive analytics models that enabled LovedBy to enhance its product recommendations and personalization capabilities, resulting in a 25% increase in customer engagement and a 15% uplift in revenue.
Samiul's earlier career experiences include stints as the Head of Data Science - Predictive Analytics at TruNarrative, where he utilized machine learning techniques to enhance fraud detection and risk management processes, as well as various academic and research positions at the University of Strathclyde and the University of Bradford.
Academic Background
Samiul holds a PhD in Chemistry from the University of Strathclyde, where he specialized in the application of computational modeling and data analysis to solve complex scientific problems. His exceptional academic achievements and research contributions have been recognized through numerous awards and publications in peer-reviewed journals.
Areas of Expertise
- Artificial Intelligence and Machine Learning
- Data Engineering and Architecture
- Predictive Analytics and Business Intelligence
- Cloud Computing and Scalable Data Platforms
- Agile Project Management and Cross-Functional Collaboration
- Strategic Data-Driven Decision Making
Professional Impact
Throughout his career, Samiul has demonstrated a proven track record of delivering high-impact data and technology initiatives. At LovedBy, he spearheaded the implementation of a next-generation data platform that enabled real-time data processing, advanced analytics, and intelligent decision-making. This transformation contributed to a 20% improvement in customer retention and a 12% increase in average order value.
Additionally, Samiul has actively contributed to the data science community through his involvement in industry events, thought leadership articles, and mentorship of aspiring professionals. His commitment to driving innovation and fostering a data-driven culture has earned him recognition as a respected leader in the field of AI and data architecture.
Conclusion
With his extensive experience, technical expertise, and visionary leadership, Samiul Ansari is well-positioned to drive Recursion's data-driven transformation and help organizations harness the full potential of artificial intelligence and predictive analytics. Samiul's track record of delivering tangible business impact, combined with his passion for continuous learning and innovation, make him a valuable asset in the evolving landscape of data-driven decision-making.
