Yasen Dimitrov
Chief Data and Analytics Officer at IntelligenceNODE- Claim this Profile
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English -
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Bulgarian -
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Bio
Saif Ansari
I had been working with Yasen during my tenure at Intelligence Node and honestly it has been a great experience. He always had a focused vision on what we needed to do, as well as practical expectations on the outcomes. We would usually decide on investigating problems together and using a divide and conquer approach to make the best out of our designed algorithms. Apart from that, he understood the limitations of any process and would think or suggest practical ways around them. He has been an excellent mentor and I do wish him success !
Saif Ansari
I had been working with Yasen during my tenure at Intelligence Node and honestly it has been a great experience. He always had a focused vision on what we needed to do, as well as practical expectations on the outcomes. We would usually decide on investigating problems together and using a divide and conquer approach to make the best out of our designed algorithms. Apart from that, he understood the limitations of any process and would think or suggest practical ways around them. He has been an excellent mentor and I do wish him success !
Saif Ansari
I had been working with Yasen during my tenure at Intelligence Node and honestly it has been a great experience. He always had a focused vision on what we needed to do, as well as practical expectations on the outcomes. We would usually decide on investigating problems together and using a divide and conquer approach to make the best out of our designed algorithms. Apart from that, he understood the limitations of any process and would think or suggest practical ways around them. He has been an excellent mentor and I do wish him success !
Saif Ansari
I had been working with Yasen during my tenure at Intelligence Node and honestly it has been a great experience. He always had a focused vision on what we needed to do, as well as practical expectations on the outcomes. We would usually decide on investigating problems together and using a divide and conquer approach to make the best out of our designed algorithms. Apart from that, he understood the limitations of any process and would think or suggest practical ways around them. He has been an excellent mentor and I do wish him success !
Credentials
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General Management
Harvard Business SchoolNov, 2022- Sep, 2024 -
Seed Transformation
Stanford University Graduate School of BusinessAug, 2022- Sep, 2024
Experience
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IntelligenceNODE
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India
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1 - 100 Employee
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Chief Data and Analytics Officer
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2014 - Present
Intelligence Node is an advanced analytics company that focuses on providing competitive market insights to global retailers and brands. We are proud to be the solution of choice for category leaders across all sectors of retail and we feed the growth of more than $600 billion in revenue globally. Where do I fit? Data management and monetization - Managing the full analytics cycle including data prep, data modeling, analytical output, and customer success analytics. Supporting the engine behind a large-scale analytics (benchmarking) SAAS product for the retail market -Explore data and analytics requirements across stakeholders and transform the “value” of data into real, tangible business opportunities. -Setting objective data quality metrics eg validity, completeness, timeliness, etc as a foundation to build organizational data assets. -Spearhead the incubation of Next-Generation data and analytics methodologies, technologies, and frameworks. Data security and compliance -Lead the implementation of the Information Security Management System (ISMS) in line with the International Standard for Information Security, ISO/IEC 27001 and 27017 -Implemented OpenChain 2.1, ISO/IEC 5230:2020, the International Standard for open-source compliance. - Leading 3 functional teams (a total of 125 team members) • Data analytics team, responsible for pre-sales and “customer success” slideshow deliverables • Data science team, responsible for operationalizing the analytics using machine learning • Data engineering team that gathers/normalizes/transforms the raw data into a database cluster with the output being data sets used for downstream predictive models and analytics. Our team was recognized by Forrester as a key vendor for the Pricing Optimization technology. This Forrester Tech Tide report reviews and analyzes the maturity and business value of the most implemented technology categories that support AI and analytics for the retail sector. Show less
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Analytics Practice Leader
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2010 - 2013
Managed and delivered business research projects and strategy initiatives such as: market and competitor analysis, benchmarking, KPIs and helping clients optimise growth Implemented change management programme that reduced analyses production time by 45% through a process-re-engineering and formalisation program for the analysis and research groups. Moderated a series of capital markets roundtables that explored qualitative themes including: - Dependencies between technology budget and size of the business franchise - Insight into the way major firms support their front-office function. - Budget trends including human capital and 3rd party vendor spend Key clients: Goldman Sachs, Morgan Stanley, HSBC, Barclays, Standard Chartered Show less
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Head of Research & Analytics
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2006 - 2010
Delivered more than 100 bespoke research and consultancy projects (in the Capital Markets area) to a wide-range of financial institutions including JP Morgan, Deutsche Bank, Bank of America, Standard Chartered, ICAP, Reuters, Bloomberg Delivered more than 100 bespoke research and consultancy projects (in the Capital Markets area) to a wide-range of financial institutions including JP Morgan, Deutsche Bank, Bank of America, Standard Chartered, ICAP, Reuters, Bloomberg
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Education
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2022 - 2022
Harvard Business School
General Management (GMP33) -
Hult International Business School
Master of Science (MSc), Finance, General
Community
