Natasha Lanziner

Senior Data Analytics Engineer at Recursion
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Contact Information
us****@****om
(386) 825-5501
Location
Toronto, Ontario, Canada, CA
Languages
  • English Native or bilingual proficiency
  • French Elementary proficiency

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Experience

    • United States
    • Biotechnology Research
    • 300 - 400 Employee
    • Senior Data Analytics Engineer
      • May 2023 - Present

    • United States
    • Insurance
    • 700 & Above Employee
    • Senior Data Scientist - ML Platform
      • Jul 2022 - Apr 2023

    • Data Scientist
      • Nov 2020 - Jul 2022

    • Ireland
    • Business Consulting and Services
    • 700 & Above Employee
    • Data Science & Machine Learning Consultant
      • Dec 2019 - Nov 2020

      Computer Vision Solution Development- Built and deployed app on AWS to augment human analysis of video feeds in security & defence (object storage, workflow integration, data & model pipelines, UI)- Developed computer vision models to classify objects, extract markings, and track objects across cameras using transfer learning in TensorFlow- Devised a Responsible AI framework for validating responsibility, generalizability, and explainability for deep learning models and ensembles within the solutionInclusive Job Posting Application- Managed data science team to build and deploy an NLP based recommendation engine for inclusivity improvements to company job postings- Led stakeholder engagement workshops to define features and MVP, and collaborated with UI team to deploy a fully integrated web applicationHR Analytics for I&D- Managed data science and data engineering teams to develop analytics platform on Azure to process and analyze employee data- Led the identification & testing of hypotheses related to I&D initiatives and shared findings with HR teams to identify improvement actionsMarketing Analytics Transformations- Advised marketing, creative & analytics teams for financial services client in methods to use data effectively for defining customer segments and personalized campaign plans- Developed audience segmentation strategy for media agency to define scalable audiences for CPGs from retail transactional data Show less

    • Analyst - Data Science
      • Aug 2017 - Dec 2019

      Contact Centre Analytics- Led data management & architecture teams to deliver ETLs for operational reporting and ad hoc analysis from CRM, operational databases, and network storage- Built speech-to-text pipelines on AWS and call classification models in Python to determine customer call drivers- Identified cost reduction and customer experience opportunities by building reusable dashboards & analyses in Python on contact centre operations, customer surveys, and web behaviourAnalytics Transformation for Transit Agency- Developed 4 year business case and roadmap for enterprise transformation to data driven asset management decision making processes- Modernized transit operational reporting & analysis processes by building QlikSense dashboards on a Cloudera data lake consolidating data from multiple internal and contractor systems Show less

    • Canada
    • Higher Education
    • 700 & Above Employee
    • Design and Innovation Lead
      • Sep 2014 - Apr 2017

      Advised student teams in applying simulation & optimization strategies, design thinking, and lean six sigma methods to technical engineering projects with clients in manufacturing, utilities, power generation, and transportation sectors.

    • Engineering Innovation Curricula Development
      • May 2014 - Sep 2014

      Developed engineering design course curricula and assessment strategies to teach technical writing, critical thinking, problem solving, and engineering ethics to Canadian undergraduate engineering students.

Education

  • Queen's University
    Master of Applied Science, Engineering Education
  • Queen's University
    Bachelor of Science in Engineering, Engineering Physics with Electrical Engineering Specialization

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