Tamara Sajic

❖ A business data analyst/data scientist with 3+ years of wide-ranging experience in analyzing complex business problems and resolving them by developing and deploying data-intensive applications using advanced statistical analytics.
❖ Proficient in data analytics, data mining, data processing, as well as scripting languages, including Python, R Studio and SQL. Highly adept at collecting, analyzing, and interpreting large datasets, developing new models, and performing data management tasks.
❖ Accomplished developing, testing, and deploying highly adaptive and diverse services and capable of translating business and functional requirements into substantial deliverables. Experience in leading and managing large budget projects and teams with various technologies.

Specialist Operations Technology Analytics
Canadian Pacific Railway | January 2022 – Present
❖ Awarded special RSU award for ability to lead derailment root-cause finding and innovating and implemented corrective actions.
❖ Recognized for driving important federal regulatory initiatives and leading fuel conservation efforts, real-time operational alerting and asset health monitoring systems.
❖ Utilized analytical and technical expertise to provide insights and tools to support business improvements in various business teams.
❖ Developed Key Performance Indicators (KPI) and presented to various management and led execution plans.
❖ Drove interaction and partnership between teams to ensure active cooperation in identifying and defining analytical needs and insights within the business.
❖ Led numerous analytical projects with varying technology.
❖ Led and managed $25M Federal Regulatory Project to transfer video and voice information
using locomotive technology and migrating three cloud environments.
Specialist Mechanical Data Analytics
Canadian Pacific Railway | December 2019 – January 2022
❖ Awarded 2021 CP CEO Award for Excellence (recognized among 20 out of 12000 CP employees) for internalizing contract maintenance using analytical and statistical modelling and reducing annual spend of $2M. Developed, designed, and deployed algorithms to predict mechanical equipment failure.
❖ Developed unique solutions using Regression Analysis and Machine Learning algorithms for preventative locomotive maintenance.

Bachelor of Science in Mathematics, December 2018 University of Calgary, Calgary, AB
Complex Analysis, Linear Programming and Optimization Probability Partial Differential Equations Sampling and Surveys Statistical Analysis