Denis Lapchev

Machine Learning Engineer at South32
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Contact Information
us****@****om
(386) 825-5501
Location
Perth, Western Australia, Australia, AU

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5.0

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Prajwal K.

Denis is a fantastic mentor, super respectful and motivating manager and a data science guru. His knowledge of data ecosystem spans across the full spectrum ranging from data engineering, advance statistics to deep learning. He keeps business objectives and data science ethics at the centre of his work. I thoroughly enjoyed each and every seconds at VGW working with him. Best wishes for your future endeavour Denis.

LinkedIn User

Denis was a very early hire in VGW's Data & Analytics team, and instrumental in shaping our vision and execution of our strategy. And Denis built many of the key systems in DS, ML and Marketing Tech that powered VGW's huge growth. Truly the definition of a full-stack Data Scientist. The only thing more impressive than his deep, deep technical knowledge in Data Science and DS Systems is his kind and caring good nature.

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Experience

    • Australia
    • Mining
    • 700 & Above Employee
    • Machine Learning Engineer
      • Oct 2022 - Present

    • Australia
    • Spectator Sports
    • 1 - 100 Employee
    • Senior Data Scientist / Data Engineer
      • Mar 2021 - Sep 2022

    • Australia
    • Computer Games
    • 500 - 600 Employee
    • Senior Data Scientist / Core DS Team Lead
      • Mar 2019 - Mar 2021

    • Data Scientist
      • Sep 2016 - Mar 2019

      Adding value by developing predictive and explanatory models in areas such as:- Churn and lifetime value.- Fraud detection. - Marketing propensity models. - Recommendation systems. - Customer data analysis using natural language processing. Applying statistical data analysis methods to increase confidence, provide insight and help business answer questions. Utilising Bayesian and frequentist inference. Designing A/B tests and performing post-analysis.Building solutions using traditional machine learning as well as modern deep learning methods. Working with big data using the Spark ecosystem. Utilising cloud computing using AWS technologies (AWS Certified Solutions Architect - Associate).Experienced with data engineering practices - performing ETL/ELT, API integrations, data wrangling/cleaning and transformations.Delivering end-to-end data science projects - from exploration to modelling, experimentation and deployment in production.Languages and Technologies: Python, SQL, R, Tableau, Apache Spark, Databricks, AWS (Redshift, Spectrum, S3, EC2, Lambda, Kinesis, Athena), Apache Airflow. Show less

    • Industrial Machinery Manufacturing
    • 1 - 100 Employee
    • Algorithm Engineer / FEA Analyst
      • Sep 2009 - Sep 2016

      Diverse experience with R&D projects - including scientific programming, simulation software development and numerical (FEA) analysis of multi-disciplinary systems. Played a major role in the analysis and development of patented products by performing a diverse range of analyses for start-ups and global multi-national organisations in industries such as automotive, medical, renewable energy, security/defence, optomechanical and others. Assisted company’s clients with solving complex problems within the following fields: ➢ Computational fluid dynamics (CFD) and heat transfer. ➢ Numerical simulations and modelling of physical systems. ➢ Structural analysis. ➢ Linear and non-linear dynamics, acoustics, advanced material models and others. Languages and Technologies: Python, Abaqus, Matlab Show less

    • Netherlands
    • Events Services
    • 200 - 300 Employee
    • R&D Engineer
      • Aug 2006 - Aug 2009

      Developed mechanical systems for the naval industry - from conceptual design to analysis, 3D CAD modelling, production drawings and documentation. Performed numerical analysis using FEA, supported by analytical calculations. Participated in prototyping and conducted experiments for performance analysis. Worked in close liaison with workshop staff throughout the manufacturing process. Supervised, guided and trained junior engineers. Technologies: Ansys, Unigraphics, Solidworks Show less

Education

  • Technion - Israel Institute of Technology
    Master of Science (M.Sc.), Engineering
    2005 - 2009
  • Technion - Israel Institute of Technology
    B.Sc, Mechanical Engineering
    1999 - 2003

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