Ashuvendra Singh

About Ashuvendra Singh

Ashuvendra Singh is a seasoned business leader with 19 years of experience across diverse industries, including banking, financial services, insurance, healthcare, legal technology, and information services. Throughout his career, Ashuvendra has shown leadership in driving commercially successful innovative solutions (multiple patents) in data-driven consulting and professional services setup. Ashuvendra\'s extensive experience working across multiple geographies (Asia Pacific, UK & USA) has given him a deep understanding of diverse cultures to lead global teams effectively. His excellent analytical, interpersonal, and problem-solving skills have enabled him to lead complex business situations and drive product and service innovations with financial impact at scale.Currently, Ashuvendra holds the leadership position as Director of Data Science and Analytics at a major Global Information Service organization in the NYC area. In this role, he spearheads the exploration and development of cutting-edge platform-based solutions that harness the power of GenerativeAI, machine learning, natural language processing, and RPA applications. His focus area lies in revolutionizing operational workflows by utilizing EMERGING technology as a service for major US banking and financial services clients. In addition, Ashuvendra plays a pivotal role in championing strategic business groups through his passion for New Product Innovation initiatives. His team is focused on designing, developing, and implementing advanced data solutions, with a specific emphasis on customer analytics, decision support in regulatory and compliance reporting, fraud detection, payment integrity, and the provision of analytical services in the domain of digital lending for banks and other financial technology companies across US locations.Specialties:Leadership: Global Team Management, Client-Vendor 3rd Party Setup, Audience Engagement, Pre-sales/RFP/OP-ID/Proposal, and data-driven product designFunctional: White Space Analysis, PoC/PoV Design, Problem Solving, Requirement Scoping, Feasibility Study, and due diligenceTechnical: GenAI/ML/NLP/Statistical Modeling using Python, R, SAS (Base, SQL, Macros, and Stats), Minitab, SPSS s/w hosted with Big Data and Cloud infrastructure (Hadoop, Cloudera, Dataiku, AWS, and MS Azure)

Experience

1. Director & Head of Ai Ml Experimentation, Solution Design and Product Innovation

   Wolters Kluwer

   Jan 2018 — Present · New York, NY, US

   I am part of the Financial & Corporate Compliance (FCC) Division, which is dedicated to ensuring that businesses across industries stay compliant with legal and regulatory requirements.*In my current role, I am leading Ops Decision Science team, which includes Solution Architects, Data Scientists & ML Ops Engineers, and I am responsible for designing, developing, and implementing cutting-edge Machine Learning/Artificial Intelligence and RPA-based solutions.*The focus of my group is to actively incubate AI solutions such as Recommender Systems, Fraud Workbench, Intelligent Process Automation, and Early Warning Frameworks across the Banking, Financial Services, and Insurance sector clients to drive efficiency and accuracy in decision-making.*The core responsibility of my team is to optimize WK FCC Platform workflows in areas of Legal, Regulatory, and Compliance management for large US corporations, ensuring that they can use WK\'s latest technology to improve their core business operations.*In addition to core responsibilities, I am also working as a change agent to cascade data science-aided solutions to the product roadmap to impact operating workflows by promoting innovative solutions such as the Software/Platform-as-a-service concept, designed to help businesses succeed in today\'s dynamic marketplace.

Education

• University of California, Berkeley

  Certificate Program in Data Science

• National Institute of Technology Surat

  Bachelor of Engineering (B.Eng.), Chemical Engineering

• Columbia University

  Professional Certificate Program in Data Science for Executives

• Bharathidasan Institute of Management Tiruchirapalli

  Post Graduate Diploma in Business Management (PGDBM equivalent to M.B.A.), Business Management

• MIT Sloan School of Management

  Digital Leadership Program - Executive Education

• Texas McCombs School of Business

  Post Graduate Program in Artificial Intelligence for Leaders

• The University of Texas Permian Basin

  Master of Business Administration(MBA)

• MIT Professional Education

  Certificate Program In Machine Leanirng - Executive Education