Tyler Lanigan

Tyler Lanigan

Vancouver, British Columbia, Canada
1K followers 500+ connections

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A motivated and results-driven machine learning specialist with experience in engineering consulting and full-stack development. Passionate about working with data technologies, and using a scientific approach to understanding and solving problems.

Skills: Python, SQL, Scala, R, Tableau, Data Viz., Spark, Machine Learning, Deep Learning, SageMaker, Kubernetes, Docker

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Erleben Sie

  • Hootsuite Graphic

    Hootsuite

    Vancouver, British Columbia, Canada

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    Vancouve

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    Vancouver, Canada Area

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    Vancouver, Canada Area

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    Vancouver, Canada Area

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    Vancouver

Bildung

  • Graphic

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    Activities and Societies: Vice President of the Engineering Students'​ Society

    Mechatronics Specialization

  • - Present

    Practical training in supervised, unsupervised, reinforcement and deep learning

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    In-depth, practical training in deep learning, computer vision, robotic controls, localization, path planning, and more.

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    A graduate of this program will be able to design and build databases for software applications, create and deploy database-backed web APIs, and secure and manage user authentication and access control for an application backend. Students will also learn how to deploy a Flask-based web application to the cloud using Docker and Kubernetes.

Volunteer Experience

  • University of Victoria Graphic

    Students'​ Society Vice president

    University of Victoria

    - 5 years 1 month

    Science and Technology

    ● Organized events and conferences for the student body
    ● Participated in student politics nation-wide

Courses

  • Algorithmic Toolbox

    Coursera

  • Database Courses DB1-DB14

    Stanford Online

  • Operating Systems and Systems Programming (CSC 162)

    Berkeley Online

Projects

  • Traffic Sign Identifier

    ● Wrote Inceptions and LeNet based convolutional neural networks to classify traffic signs using TensorFlow
    ● Achieved accuracy of 94.1% on held out dataset.

    See project

  • Behavioral Learning - A Deep Neural Network Drives a Car

    ● Wrote a software to drive a simulated car around a track using a deep network designed in Keras.
    ● Generated data using PS4 controller, and trained network on AWS GPU instance
    ● Please see YouTube link by clicking on title.

    See project

  • Map Reduce Forum Analyser

    ● Developed forum analyzer using Map, Reduce, and combiners in Hadoop.
    ● Constructed virtual Linux machine using Oracle VM to run a single-node Hadoop cluster.
    ● Constructed bash testing scripts and Hadoop job running scripts.

    See project

  • MiniFlow

    ● Wrote neural network and logistic regression library from scratch in Python
    ● Imitated graph structure used in TensorFlow.

    See project

  • Amazon Review Classifier

    ● Developed Amazon Review Classifier using TF-IDF features of Review Text
    ● Implemented model using Adaboost and Logistic Regression models in Python
    ● Classified new reviews with a AUC_RUC score of 0.77.

    See project

  • Customer Segmentation Analysis

    ● Analyzed customer segments for a wholesaler using unsupervised learning techniques
    ● Implemented model using PCA, KMeans, and Box-Cox normalization in Python
    ● Segmented customers into two group with explained variance of 70.7%.

    See project

  • Student Intervention System

    ● Created prediction system to warn if students were at risk of dropping out from a 48 feature dataset using Python
    ● Researched and tested a wide variety of algorithms including Naive Bayes, Random Forest and AdaBOOST to determine most suitable for the problem.
    ● System capable of predicting dropouts to an F1 score of 0.8281 on a withheld test dataset.

    See project

Languages

  • Englisch

    Native or bilingual proficiency

  • Spanish

    Professional working proficiency

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