Process Automation Analyst | AI-Powered Ops Optimization | Power Platform & Data Insights

Olivia Snyder

Professional Summary

Industrial Engineering student specialized in AI and process automation, passionate about driving operational efficiency through data-driven tools and scalable solutions. Proven success in deploying automation platforms, developing insightful dashboards, and delivering measurable cost savings. Skilled in PowerApps, Power BI, Python, and cross-functional collaboration to optimize business processes and reporting.

Work Experience

Business Operations & Systems Associate at Medicals at the Center

-

• Support business operations and system development while completing degree part-time. • Conduct process analysis and collaborate cross-functionally to deliver internal tools and reporting systems. • Strengthened project ownership, prioritization, and technical communication.

Continuous Improvement Engineer (Co-op) at Purolator

-

• Led deployment of two PowerApps across 30+ terminals, saving over $100,000 annually by optimizing waste management and terminal information exchange. • Designed scalable implementation plans, stakeholder workshops, and KPI frameworks. • Built 5+ Power BI dashboards reporting project ROI, Lean Six Sigma benefits, and training metrics. • Mentored a new co-op hire, facilitating two full knowledge transfers in under two weeks.

Strategy Consultant at UofT Consulting Competition

-

• Led strategy for a telecom client, developing a 5-year growth plan based on market research and competitor benchmarking. • Delivered actionable recommendations to an industry panel.

Associate Consultant at University of Toronto Consulting Association

-

• Advised a restaurant tech start-up on scaling and fundraising strategies. • Led client workshops to identify key needs and align technology strategy with business objectives.

Education

Bachelor of Applied Science in Industrial Engineering with AI Minor

University of Toronto

-

Skills

Technical Skills

  • Python (Pandas, NumPy, PyTorch, Spark)
  • Java
  • C
  • SQL
  • Gurobi
  • R

Certifications

AWS Certified Cloud Practitioner

AWS

AI for Medicine Specialization

DeepLearning.ai

Lean Six Sigma Green Belt

Purolator

Score
85/100
Education
75/100
Header
90/100
Skills
80/100
Work Experience
82/100
Profile
88/100
Projects
78/100
Certifications
80/100
Add employment type details consistently for all work experience entries to improve ATS parsing.
Include soft skills and more standardized keywords in the skills section to enhance keyword optimization.
Add GPA or relevant coursework in education to strengthen academic credibility.
Improve consistency in date formatting across sections for better readability.
Expand project descriptions to include business impact and technologies used.
Strong quantifiable achievements in work experience and projects demonstrating measurable impact.
Clear focus on AI, process automation, and data analytics aligning with industry trends.
Multilingual abilities enhancing communication in diverse teams.
Inclusion of relevant certifications and continuous learning mindset.

Education

75%
Education section includes relevant degree and honors, which supports candidate credibility.
Add GPA if strong and relevant, or list relevant coursework or projects to enhance ATS keyword density.
Include exact dates in a consistent format to improve clarity.

Header

90%
The header is clear and includes a professional headline with relevant keywords like 'Process Automation Analyst' and 'Power Platform'.
Including LinkedIn and GitHub URLs enhances credibility and allows recruiters to verify skills and projects.

Skills

80%
Skills are well categorized into hard skills and tools, which helps ATS parsing and recruiter scanning.
Consider adding soft skills relevant to the roles, such as 'Project Management' or 'Cross-functional Collaboration', to improve completeness.
Use standardized skill names (e.g., 'Python', 'SQL', 'Lean Six Sigma') to align with common ATS keyword databases.

Work Experience

82%
Work experience descriptions effectively include quantifiable results, such as cost savings and process improvements, which attract recruiters and ATS.
Use consistent formatting for dates and consider adding employment types (e.g., full-time, co-op) for clarity.
Some job descriptions could be expanded with more specific technical tools or methodologies used to further optimize ATS keyword matching.

Profile

88%
The summary is concise and keyword-rich, highlighting key skills such as AI, process automation, and data-driven tools, which are ATS-friendly.
Profile highlights use quantifiable achievements, which improve recruiter appeal and ATS parsing.
Consider adding a brief objective or career goal to complement the summary for clarity on candidate aspirations.

Projects

78%
Project description is detailed with specific technical achievements and quantifiable improvements, which is excellent.
Consider adding technologies used and the impact of the project in business terms to enhance recruiter appeal.
Formatting could be improved by using bullet points consistently for readability.

Certifications

80%
Certifications listed are relevant and demonstrate ongoing professional development.
Clearly mark expected certifications and update dates as they are achieved to maintain accuracy.
Consider adding certification IDs or URLs if available for verification.
    Process Automation Analyst | AI-Powered Ops Optimization | Power Platform & Data Insights | Olivia Snyder | Resume Template - Yotru