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Hi there! 👋 I’m Arianne, an aspiring Data & Machine Learning Engineer and Computer Science student with hands-on experience building data pipelines, analytics systems, and production-facing ML solutions.

Most recently, I worked at TELUS across teams, where I:

• Deployed time-series forecasting frameworks in BigQuery ML (ARIMA+) to predict network traffic trends used for capacity planning
• Built and maintained Looker dashboards backed by BigQuery pipelines, improving stakeholder visibility into forecast accuracy, traffic trends, and capacity risks
• Automated ETL workflows using SQL and Python to streamline ingestion and processing
• Developed data products and tools for real-time and historical tracking across thousands of sites
• Won 1st place in multiple TELUS hackathons for data/AI solutions

I bring 3+ years of professional experience in technical roles across machine learning, data and software engineering. I enjoy translating complex requirements into reliable systems, deploying ML-driven insights, and collaborating with cross-functional teams to deliver measurable impact.

• 💡 Focus: Data Engineering, Machine Learning Engineering, and Analytics Engineering
• 💼 Most Recently: Worked at TELUS on network data pipelines, forecasting (BigQuery ML), and dashboards supporting capacity planning and decision-making at scale
• 🧠 Core Interests: Data systems, ML in production, time-series forecasting, and human-centered analytics tools
• 🎓 Education: Studying Computer Science at the Lassonde School of Engineering at York University
• 🧬 Passionate About: Data, Artificial Intelligence, and Human-Computer Interaction
• 🧪 Research Experience: Contributed to the University of Toronto’s Cobweb Lab under the supervision of Dr. Brad Bass, developing a model to analyze challenges faced by aging farmers in the Philippines
• 🏆 Hackathon Highlights: Participated in over 30 hackathons as a hacker, mentor, volunteer, and organizer
• 💼 Internship Experience: Completed 6 work terms and previously in my 7th work term
• 🎨 In my free time: I love hiking, painting, reading, exploring art galleries, and indulging in matcha desserts. Check out my reading list.
• 🔍 Open To: Data Engineering, Machine Learning Engineering, and Backend roles

• TELUS — Data & Machine Learning Engineer Intern (Network Capacity Management)

  • Deployed BigQuery ML (ARIMA+) forecasting models for network traffic prediction
  • Built 4 Looker dashboards visualizing forecast accuracy, traffic trends, and capacity risk signals
  • Represented TELUS at external events including IEEE engagements
  • Won 1st place at a TELUS Data & AI Hackathon (AI-powered fitness coach)

• TELUS — Data & Software Engineer Intern (RAN Standards & Best Practices)

  • Built a monitoring platform for 4,000+ sites using GCP, BigQuery, Python, SQL, Docker, Pulumi, and Google Maps API
  • Automated ETL workflows and delivered 5 Looker dashboards for operational reporting
  • Won 1st place in the TELUS Q1 2025 Data & Analytics Hackathon and the TELUS Sustainability Challenge

• Hydro One — Data Analyst Intern

• BlackBerry — Software Engineer Intern

• Sunnybrook Health Sciences Centre — Software Engineer Intern

• Karla — Product Designer Intern

Check out videos and media about me here 🌟

• Languages: Python, Java, SQL, JavaScript, HTML/CSS
• Tools & Frameworks: Flask, React, Tableau, Looker, Figma
• Cloud & Databases: GCP, AWS, BigQuery, Firebase, MySQL, MongoDB
• Other Skills: Data Engineering, ETL, Forecasting, Machine Learning, Analytics, Excel

📧 Email  |  💼 LinkedIn  |  🌟 Portfolio  |  📂 Devpost