Timothy Miron

Timothy Miron

Data Scientist @ TELUS

About Timothy Miron

Timothy Miron is a Data Scientist at TELUS in Montreal, Quebec, Canada, with a history of impactful projects and a passion for mentoring junior colleagues.

Title

Timothy Miron is a Data Scientist currently working at TELUS in Montreal, Quebec, Canada.

Company

Timothy Miron is employed by TELUS, a leading telecommunications company based in Montreal, Quebec, Canada. He has held multiple roles within the organization, ascending from Business Data Analyst to Sr. Business Systems Analyst, and currently serves as Data Scientist.

Previous Roles at TELUS

Timothy Miron's tenure at TELUS includes multiple roles with increasing responsibilities. From 2014 to 2016, he worked as a Business Data Analyst, followed by a position as a Sr. Business Systems Analyst from 2016 to 2019. He has been able to demonstrate a progressive career path that showcases his aptitude in diverse aspects of data analysis and business systems.

Achievements

Timothy Miron has several notable achievements at TELUS. He created a model that enabled $384K in Opex savings by identifying buildings with high installation challenges and integrating order data for proactive intervention. He engineered a process that prevents the leakage of $4 million in annualized revenue by synthesizing over 7 million data points and streamlining network build audit data. Miron also built a recommendation engine for cleaning security product audit data and developed an automated data pipeline in Python for GIS solutions. Additionally, he utilized a Hadoop cluster to mine through 800 million CRM entries, identifying 3.4 million missing client contact numbers.

Skills and Expertise

Timothy Miron leverages advanced data science techniques and is adept at working with large datasets. His skills include building automated data pipelines in Python, using Hadoop clusters for data mining, and developing recommendation engines. He has also shown a strong ability to improve operational efficiencies and generate significant cost savings through innovative data analysis and system integration.

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