Ivan Mršić
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Ivan Mršić Email & Phone Number

Data science | Data analysis at Happening
Location: Croatia 2 work roles 1 school
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Current company
Role
Data science | Data analysis
Location
Croatia

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Ivan Mršić is listed as Data science | Data analysis at Happening, based in Croatia. AeroLeads shows a matched LinkedIn profile for Ivan Mršić.

Ivan Mršić previously worked as Data at Happening and AI researcher and Software engineer at Mindsmiths. Ivan Mršić holds Master'S Degree, Computer Science from Fer.

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Happening

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Profile bio

About Ivan Mršić

Data and decisions. Expertise in:Experimentation: Designed and executed A/B tests and other controlled experiments to measure the impact of changes and optimize business processes.Business Process Modeling: Translating business workflows into clear, data-driven models, enabling analysis and improvements.Data Pipeline Development: Built robust data pipelines to collect, clean, and transform data, ensuring accessibility.Experience across industries like healthcare, hospitality (HoReCa), and gaming. Optimized resource allocation, provided deeper user understanding, personalized products, and identified revenue growth opportunities.

Listed skills include Machine Learning, Data Visualization, Data Analysis, Deep Learning, and 6 others.

Current workplace

Ivan Mršić's current company

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Happening
Happening
Data science | Data analysis
AeroLeads page
2 roles

Ivan Mršić work experience

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Data

Current

Zagreb, Croatia

[Previously Superology]Leveraged data to inform strategic decision-making. Experimentation, analytics, and data flow setup, focusing on enhancing player experience and optimizing business performance. Driven resource optimization, KPI definitions, and experimentation across the company. Key skills:Statistical ModelingMachine LearningBayesian InferenceProbabilistic ProgrammingData Visualization ReportingCross-functional CollaborationResponsibilities:Experimentation: Designed, implemented, and analyzed online controlled experiments to understand the impact of product features, user interface changes, and marketing campaigns on player engagement and retention. Applied both Bayesian and Frequentist statistical methods.Analytics: Behaviour analysis, churn prediction.Data Flow Setup: Developed and maintained data pipelines to ensure data collection, processing, and storage.KPI Identification and Monitoring: Defined, tracked, and reported on KPIs driving the success of product. Created dashboards and visualizations for real-time monitoring of product performance.Technologies:Analytics: SQL(ClickHouse, Snowflake, Vertica), Python data stack, Tableau, GrafanaExperimentation Platforms: LaunchDarklyData Engineering: Apache Airflow, Apache KafkaBayesian Toolkit: PyMC

Mar 2021 - Present

Ai Researcher And Software Engineer

Zagreb, Croatia

Previously VingdCollaborated with stakeholders, translated data insights into actionable strategies, and delivered tangible results.Highlights:Developed a messenger-based agent for high blood pressure patients, improving medication adherence and health outcomes.Built models for HORECA clients to identify high-value customers and optimize sales strategies, leading to increased revenue.Utilized Bayesian methods and domain expertise to create a product for a healthcare company, addressing a need in the market.

Feb 2017 - Feb 2021
1 education record

Ivan Mršić education

  • Fer
    Fer
    Computer Science
FAQ

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What company does Ivan Mršić work for?

Ivan Mršić works for Happening.

What is Ivan Mršić's role at Happening?

Ivan Mršić is listed as Data science | Data analysis at Happening.

Where is Ivan Mršić based?

Ivan Mršić is based in Croatia while working with Happening.

What companies has Ivan Mršić worked for?

Ivan Mršić has worked for Happening and Mindsmiths.

How can I contact Ivan Mršić?

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What schools did Ivan Mršić attend?

Ivan Mršić holds Master'S Degree, Computer Science from Fer.

What skills is Ivan Mršić known for?

Ivan Mršić is listed with skills including Machine Learning, Data Visualization, Data Analysis, Deep Learning, Expert Systems, Bayesian Statistics, Data Modeling, and Python.

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