Eric Vanular

I'm a versatile business consultant, data scientist, and software engineer. I passionate about solving problems using innovative technologies. I have experience managing diverse teams, leading complex projects, and developing useful technical products. Reach out to learn more at [email protected]!

  • Proud Canadian, World Citizen
  • Strong management acumen with effective communication abilities at the executive level
  • Programming capabilities for data science, data engineering, machine learning, artificial intelligence (AI), & web development applications
  • Fluent in English & Français

Technical Skills

  • Languages - Python, JavaScript (ES6+), HTML5, CSS3, Bash, MATLAB, R
  • Data Science - Linear/Logistic Regression, Classification, Bayesian Statistics, Neural Networks, Probability Distributions, Split Testing, Dimensionality Reduction, Error Metrics, Feature Engineering, Regularization, Normalization, NLP, Reinforcement Learning
  • Frameworks/Libraries/Environments - Pandas, Numpy, SciPy, Matplotlib, Jupyter, Flask, Express, React, Redux, Node.js, Socket.io, Bootstrap, Flexbox
  • Data Technologies - SQL (MySQL, PostgreSQL), NoSQL (MongoDB), GraphQL, JSON, CSV, Tableau, PowerBI, D3.js, and many more
  • Machine Learning Software - scikit-learn, TensorFlow, PyTorch, Keras, fast.ai, OpenAI Gym
  • DevOps - Unix, Git, Docker, AWS, Azure, GCP

Experience

Data Practice Lead

CoreLogic (Intersect) - 2018 to Present

  • Leading strategic projects using data science/engineering to increase business revenues & decrease costs
  • Managing a team of data scientists, data engineers, and data analysts to help clients achieve their goals
  • Built predictive modeling software toolset for the Government of Ontario to help them forecast operational sales volumes (> 300% improvement)

Consultant

EV Professional Services - 2017 to Present

  • Delivering consulting services focused on data solutions to real business problems - including data engineering, software development, data science / analytics, and project / product management
  • Built out an image classification computer vision system incorporating a convolutional neural network (CNN) for a creative design agency – delivered project under budget and weeks ahead of schedule
  • Structured and analyzed mobile app data from a startup with 15000 monthly active users to predict customer purchasing likelihood – helped guide marketing/product strategies and reduce churn by ~10%

Management Consultant

KPMG LLP - 2015 to 2017

  • Responsible for leading strategy and operations transformation projects for Global 1000 organizations
  • Experienced in developing complex data-driven quantitative, strategic, and financial analyses and models resulting in better business decisions, sustainability, and direct improvements on the bottom line

Education

Bachelor of Applied Science in Engineering (B.A.Sc.)

Queen’s University - 2011 to 2015

  • Mechanical Engineering, Faculty of Applied Sciences
  • Awarded the Principal’s Scholarship (95%+ Average)
  • Dean’s Scholar
  • Graduated with First Class Honours