Artem Zadvoryanskiy

Data Analyst at Intersect (CoreLogic)
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Contact Information
us****@****om
(386) 825-5501
Location
Toronto, Ontario, Canada, CA
Languages
  • Russian Native or bilingual proficiency
  • English Full professional proficiency
  • Hebrew Full professional proficiency
  • Spanish Elementary proficiency
Skills

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Bio

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Credentials

  • Python for Beginners
    Acads Inc
    Mar, 2019
    - Oct, 2024
  • 2018 Ivey Hack the Case: Participant
    SAS
    Apr, 2018
    - Oct, 2024
  • CFA Level 1 Candidate
    CFA Institute
    Jan, 2018
    - Oct, 2024
  • Bloomberg Market Concepts
    Bloomberg LP
    Aug, 2016
    - Oct, 2024

Experience

  • Intersect (CoreLogic)
    • Canada
    • Internet Publishing
    • 1 - 100 Employee
    • Data Analyst
      • Feb 2020 - Present

      • Redesigned all analytics processes for the HomeVisit real estate platform by implementing advanced Google Analytics and Google Tag Manager solutions; following analytics implementation, HomeVisit was able to track user behavior on the site and gain invaluable customer insights. • Built analytics reports and interactive dashboards, using Mixpanel analytics platform to track ongoing behavior of over 3.2 million OneHome™ unique users and measure critical KPIs not limited to user retention, drop offs and customer journeys. • Designed and executed A/B tests using Python and Optimizely to evaluate the effectiveness of design and feature changes in improving customer experience on a digital OneHome™ platform. • Analyzed test results using statistical methods and data visualization tools to provide actionable insights to the product team, resulting in informed decision-making and a 25% increase in retention rates. • Segmented OneHome™ into New, Returning and Resurrected users as well as using NPS technique to identify personas that are likely to take a specific course of action such as purchasing a property, participating in a survey, or taking a lending offer; these findings helped management build strategies and target relevant groups. Show less

  • Uber
    • Türkiye
    • Advertising Services
    • 100 - 200 Employee
    • Data Analyst
      • Oct 2019 - Feb 2020

      • Utilized SQL to conduct in-depth analysis of lead data, evaluating factors such as restaurant size, location, reviews, years in business, and proximity to the Uber Eats office to develop a comprehensive scoring system for each lead, resulting in more accurate and efficient lead prioritization for the sales team. • Implemented lead distribution for SMB Sales Managers across Uber Eats offices in US; resulting in improved lead assignment and increased sales team efficiency in the first quarter of 2020. Show less

  • Voices.com
    • Mexico
    • Telecommunications
    • 1 - 100 Employee
    • Data Analyst
      • May 2018 - Aug 2018

      • Analyzed calls and emails history data using descriptive analytics to determine optimal activity volumes and activity scheduling for the sales department; resulted in implementation of recommendations and increased sales. • Conducted Customer Segmentation Analysis to identify most profitable clients within each segment and marketing sources of lead generation that are most effective; insights were used by management and decreased costs for the company. • Simulated 3 years of daily data to determine the number of clients that Account Managers should have in their books; resulted in increased productivity of the sales team and customer satisfaction of 96%. Show less

  • Opal Balance Investments Ltd.
    • Credit Analyst / Sr. Risk Analyst
      • Jun 2016 - Dec 2017

      • Analyzed client credit data and financial statements to determine the risks of lending money to existing and prospective clients; insights enabled company to avoid high-risk customers. • Leveraged Snowflake SQL queries to analyze the payout behavior of customers and detect accounts that require debt collection, resulting in efficient recovery of bad debts. • Developed predictive machine learning models in Python for Opal Balance and its affiliated brands, aimed at determining the likelihood of loan charge offs following delinquency; this initiative led to the implementation of the models as well as automated tasks in Snowflake, ensuring the charge off probabilities remain up to date. • Applied charge off probability segmentation technique to recognize and isolate customer segments most suitable for receiving customized promotional offers intended to assist in account cure. • Conducted performance analysis on promotional offers provided to customers, examining the impact on customer behavior, such as changes in good standing status or repeat charge offs. Show less

  • Lior Electric
    • India
    • Appliances, Electrical, and Electronics Manufacturing
    • Intern (University Business Analytics Project)
      • Oct 2015 - Oct 2016

      • Developed a business strategy for the “Lior Electric” in a five-member team and a Boston Consulting Group (BCG) company representative through comprehensive research and reviewing industry trends of the Israeli and US markets of electronic devices; findings led to implementation of the strategy. • Developed a business strategy for the “Lior Electric” in a five-member team and a Boston Consulting Group (BCG) company representative through comprehensive research and reviewing industry trends of the Israeli and US markets of electronic devices; findings led to implementation of the strategy.

Education

  • Ivey Business School at Western University
    Candidate for Master of Science in Management, Business Analytics
    2018 - 2019
  • The Hebrew University of Jerusalem
    Bachelor of Arts - BA, Economics & Business Administration
    2013 - 2016

Community

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