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Ivan Bestvina

With over seven years of data science and over nine years of coding experience, Ivan has developed a wide range of data and AI products for startups and large companies. He has a proven record of managing development and data science teams and enjoys building products from the ground up. He specialises in large language models, predictive modelling, network science, and anomaly detection and has excellent communication skills and attention to detail.

Projects

  • Datasloth

    GitHub

    LLM-powered text-to-code engine, integrated directly into Pandas, enabling users to interact with their data in natural language. Datasloth observes all the data loaded through Pandas in the current Python session, which users can then query and process by simply writing their questions in natural language.

  • DAGpy

    GitHub

    A data science collaboration tool based on iPython notebooks enables data science teams to collaborate easily by efficiently branching out of others’ notebooks, thus minimizing code duplication and providing an intuitive project overview. I was the sole designer and developer behind the project.

Experience

  • Co-founder

    Qluent AB

    2022 - 2023

    • Developed the core AI stack of the solution, including the question-to-SQL generation with process explanations.

    • Participated in sales and fundraising efforts with another co-founder.

    • Developed an AI assistant that enables users to explore their database in natural language from Slack.

  • Senior Data Scientist

    Clas Ohlson AB

    2020 - 2022

    • Developed an automated promotions system, including forecasting, cross-sales, and cannibalization analysis modules. Maintained and further developed an automated markdown system.

    • Participated in developing a centralized data warehouse, connecting various internal and external data sources. Developed an extensive analytical stack on top of the data warehouse.

    • Led AI workshops to upskill different teams across the organization.

  • Data Scientist

    Athena Analytics LTD

    2020

    • Implemented an end-to-end data pipeline for student score prediction and anomaly detection.

    • Delivered in-depth analysis of data patterns and model performance, enabling important strategic data-driven decisions.

    • Corrected multiple issues with the previous processing and modeling implementation, improving prediction accuracy while reducing the computation time by more than 200x.

  • Co-founder/Lead Data Scientist

    Clarify

    2019 - 2020

    • Co-designed a novel automated BI reporting system that detects shifts and anomalies in retail data and delivers them as natural language news feed posts enriched with interactive charts and data exploration tools.

    • Led the research into predictive modeling of the demand of highly perishable produce, as well as the application of such models for pattern and anomaly detection.

    • Spearheaded sales efforts and customer relations of the company.

  • Senior Data Scientist

    FoodTracks

    2017 - 2019

    • Developed the framework and the processing pipelines for demand forecasting for German bakeries, all the way from the client’s ERP data sources to the automated production orders.

    • Created a novel data science management framework and, based on it, led a team of data scientists through product research and development.

    • Prototyped, developed, and maintained tens of tailor-made data products for retail management.

  • Software Developer

    Mireo

    2017 - 2017

    • Developed core C++ algorithms for a platform-agnostic car navigation system.

    • Implemented WebSocket server and client in C++ from scratch for use in standardized navigation app notifications.

    • Adapted the car navigation system for use in proprietary client hardware.

  • Data Scientist

    Ericsson

    2016 - 2017

    • Developed machine learning models for smart home sensors data anomaly detection to detect occupant accidents and assist elders living alone.

    • Set up data pipelines for IoT data processing in Java.

    • Created exploratory analysis reports comparing the outputs of different smart home sensors.

  • Student Project Assistant

    University of Zagreb

    2015 - 2017

    • Developed novel election prediction models based on social network topology data.
    • Developed telecom operator churn predictors based on communication networks.
    • Modeled drug effectiveness based on virus protein networks.
    • Developed epidemic model parameter estimators based on snapshots of infected nodes.

Published