Currently Product at Shell/Wonderbill. Previously at Moo, DueDil, Microsoft, University of Southampton.
“Where there is no vision, the people perish”
I work on products that leverage Deep tech/AI/Big Data to solve customer problems. While I enjoy and respect the many aspects of Product Management and my professional life is one of continues learning, nothing brings me more joy than deeply understanding customers and bringing solutions using new and exciting technologies.
I'm a person with an entrepreneurial drive, a background in human-computer interaction, user-experience, data analytics, and software development, and a deep appreciation of business and commercial issues. I have worked in Product for over eight years for both startups and more established companies as well as having the opportunity to start my own ventures.
I currently work at Streetbees, as a Lead Product manager where I'm leading the Insights Tribe. I'm also the founder of DataReportive, a data visualization/analytics SaaS product.
I have previously worked at Shell, Moo, ClickMechanic, DueDil, and Microsoft.
In a lifetime before that, I worked in academia, where I did a PhD in Computer Science at the University of Southampton during which I worked on Open Data projects together with Sir Tim Berners-Lee (the inventor of the Web), Sir Nigel Shadbolt and Dame Wendy Hall (my co-supervisor together with dr m.c. schraefel).
Streetbees is the world’s first human intelligence platform. We capture real life moments, at scale and in people’s own words. The platfor is primarily use of market research by large coorporates such as Coca Cola, PepsiCo, Unilever etc. I lead product on the Insights tribe - the last mile of delivery to the client which includes client specific processing, ML output for insight and analysis, and data visualisation and reporting.
DataReportive is a SaaS company that offers data visualization and analysis software for SQL databases. The initial idea behind it was born out of my experiences working at my PhD and at Microsoft. Developed for data scientists and technical data analysts in mind, DataReportive allows users to quickly and collaboratively set up dashboards, data documents, email reports as well as easily import data from SQL to a number of business tools such as Google sheets, Excel and Slack. It's currently used by over a hundred customers for various use cases.
I hold a PhD in Computer Science (specialisation on Big Data, Data Visualisation & Human-Computer Interaction) from the University of Southampton. My thesis focused on how to develop novel methods of interaction and interfaces that allowed users to explore, navigate and query big graph datasets. Below are some of the projects as part of my research. You can find a list of my research publications here.
mashpoint is a framework that allows data rich apps to be connected based on similar entities in their data. By linking applications in this way we can browse the Web in a data-centric way.
Visor is an data exploration interface for Wikipedia using data from DBPedia. Visor allows you to explore the DBPedia native ontology, view collections of data and develop tables using a user-friendly querying interface.
GEORDi is a generic browser based designed for end-users, those without technical skills, to discover, browse, navigate and support common sensemaking acctivites over distributed data sources.
boardpedia is a Pinterest style browser for Wikipedia using data from DBPedia. It is implementated to be a easy-to-use, configurable faceted browser over SPARQL endpoints.
dayta.me recommends various data for your day based on events in your Google Calendar. It shows relevant news, tweets, transport data, important persons, statistical data and weather based on events and personal context (e.g. location). Browsing in dayta.me is extended by providing further recommendations are extendedon the initial set of recommended data.
The UK Region Checker aggregates and visualises all available public information data just by inputing a post code.
Smith, Daniel Alexander, Popov, Igor and schraefel, mc (2010) Data Picking Linked Data: Enabling Users to create Faceted Browsers. At Web Science Conference 2010, Raleigh, NC, USA, 26 - 27 Apr 2010.
schraefel, monica, Smith, Daniel Alexander, Popov, Igor, Van Kleek, Max and Shadbolt, Nigel (2010) Will this work for Susan? Challenges for Delivering Usable and Useful Generic Linked Data Browsers.
Omitola, Temitope, Koumenides, Christos L., Popov, Igor O., Yang, Yang, Salvadores, Manuel, Correndo, Gianluca, Hall, Wendy and Shadbolt, Nigel (2010) Integrating Public Datasets Using Linked Data: Challenges and Design Principles. At Future Internet Assembly, Ghent, Belgium, 16 - 17 Dec 2010.
Simperl E., Mochol M., Bürger T., Popov I., Achieving Maturity: the State of Practice in Ontology Engineering in 2009, 8th International Conference on Ontologies, Databases, and Applications of Semantics ODBASE, 2009.
Imtiaz A., Giernalczyk A., Bürger T., Popov I., A predictive framework for value engineering within collaborative knowledge workspaces, eChallenges Conference, 2009.
Imtiaz A., Bürger T., Popov I., Simperl E. Framework for Value Prediction of Knowledge-based Applications, ECONOM2009 Workshop, BIS 2009.
Simperl E., Popov I., Bürger T. ONTOCOM revisited: Towards accurate cost predictions for ontology development projects, ESWC 2009.
Popov I., Ruiz Moreno C., Bürger T., Simperl E. Use cases for cost beneﬁt information in collaborative knowledge creation. Technical Report, ACTIVE EU-IST Project, 2009.
Popov I., Bürger T., Imtiaz A.,Simperl E. Deliverable 4.1.1: Preliminary predictive model for costs and beneﬁts. Technical Report, ACTIVE EU-IST Project, 2009. Popov I. A Cost Model for Lightweight Ontologies: Adapting the ONTOCOM Model. Technical Report TR-08-08-09, University of Innsbruck.
Popov I. Comparative analysis of Learning Management Systems. Technical Report TR-06-02-03, University of Geneva.
While at Microsoft research, I worked with multiple product teams on sampleAction, a tool that supports rapid exploration and iterative queries over large scale datasets. The interface was designed to support incremental queries, calculating error probabilities on partial queries and present results to users within certain margins of errors, sacrificing completeness for quicker results and more interactivity.
DueDil is a business intelligence/KYC platform that allows you to get information on private companies across the UK and Europe. Joining pre revenue, I led product development of the Advanced Search feature, the first subscription product DueDil launched around prospecting and lead generation.
WonderBill is a Shell spinned digital venture that helps customers manage their household bills. Provided through both a website and an app, Wonderbill allows customers to link their online utility providers, which gathers all relevant information around your bills (Usage, Payment, PDF Statements). I lead the Data Aquisition Team that focuses on getting data to the customer in a timely and efficient manner. Data is aquired through web scraping so managing that process was part of the teams remit.
Moo is a print company that allows customers to design and order everything from business cards to post cards from its online platform. intelligence platform that allows you to get information on private companies. While I was at Moo, I worked on running advanced experiments, including optimisation of pricing and shipping, delivering value in the excess of 250K a year. Worked on streamlining our information systems and processes, resulting in a 50% efficiency gain with an estimated 500K in savings per product launch.
ClickMechanic is a platform that allows customers to arrange a variety of automobile services from trusted local mechanics. During my time there I owned the product roadmap for multiple product lines, optimised work allocation algorithms and lead research into leveraging machine learning / AI to improve ClickMechanic’s automatic quote engine.
Together with a iBorn.net, a Macedonian software provider, I co-founded NajdiDom.mk a property search engine for the Macedonian market. In addition to property search, it included features that leveraged price data to make help out with price/time-to-sell predictions.