IN2data has more than two decades of data science consulting experience. Our consultants have experience in many verticals, including medicine, banking, insurance, manufacturing, telecommunications and media, and high technology.
Our approach to data science challenges is highly pragmatic and interdisciplinary. Our relationship with a customer usually starts with our analyzing a data science opportunity, working with customer executives to develop a quantitative business case for pursuing it, and presenting the business case to executive decision makers. We then combine cutting edge methods from statistics, operations research, machine learning, decision science, cognitive science, software engineering, business intelligence, human factors, and organizational behavior to produce a state-of-the-art scientific model. When we translate the model into a production decision-support or decision-automation system, we adhere methodically to agile/lean design and development lifecycles that include robust testing at every level, to ensure the most reliable and scalable solution possible. We’re equally systematic about involving customer executives and staff in each stage of a project, to ensure enthusiastic executive sponsorship, appropriate organizational support, and graceful technology and business-process transitions.
IN2data scientists have particular expertise in recognizing and capitalizing on complex optimization opportunities. We’re expert at modeling the effects of uncertainties such as weather, market fluctuations, and human decisions on large-scale business processes, especially those having geospatial or network-flow characteristics. We have developed proprietary tools to help us build highly realistic fast-time simulations to support effective modeling, verification, and validation. We have likewise mastered state-of-the art approaches to improving cooperative interactions among semi-autonomous organizations that must support development and deployment of decision support systems.
Experienced top level Corporate Executive, Entrepreneur, College Professor, Assistant Research Scientist, Certified Court Expert Witness with deep expertize in appliance of technology in different areas of business and government, strong background in different areas (law, finance, technology, math) and fields (retail, project management) with focus on analytic methods and data management/data usage with ability to extend its approach erational through strategic level.
Leo has strong organizational skillset (teams/companies up to 1.000+ employees) during 15+ years of management experience, Head of Chair for Data Management and Analysis at University College Algebra Zagreb, active in edu community with wide range of different experiences (Editor, Lecturer, Reviewer, Editorial Board Member, Advisor, Book Author) able to provide deep and usable approach in many areas especially related to technology, math, structured decision making and educational methodologies.
Igor graduated from University of Zagreb, Faculty of Economics and got a masters degree from University of Bologna, Italy. Currently he is a PhD candidate at University of Zagreb, Faculty of organization and informatics. Before joining IN2data, Igor spent many years in banking, working on quantitative analysis and modelling of credit risk. Last position he held in banking was the director of credit risk modelling department at Zagrebačka banka d.d., UniCredit group.
So far he co-authored three chapters in "Competitive Analysis" book, several scientific papers at international conferences and more than twenty professional publications. He teached courses in quantitative analysis and modelling, risk analysis, decision support systems and information technology at several high-ed institutions.