Lorraine Sanares

Hi there! đź‘‹ I like to make cool sh*t with code.

About

profile

I'm a data science student at the University of Melbourne. Boring intro I know, so here's some cool stuff I do:

đź’»

I code

Building data pipelines, creating interactive dashboards, and developing machine learning models to solve real-world problems.

✒️

I write

Sharing my journey in data science through technical articles and personal stories on Medium.

🎓

I teach

Mentoring fellow students and creating educational content to make data science more accessible.

My Ethos

Book

MISSION

I dedicate my time to continuous learning and upskilling—exploring frameworks and technologies beyond coursework. I want to deepen my expertise and apply knowledge in real-world contexts—whether through hands-on projects, certifications, or self-driven exploration.

King

VISION

Pursuing a future where I have agency to express my authentic self in my work; finding that perfect blend between what I love, what I'm good at, what the world needs, and what I can be paid for - my ikigai.

Pen

PURPOSE

Shared knowledge is the foundation of growth, innovation, and collective success - I've had a long-time passion for teaching, therefore I try my best to pass on what I learn through writing, workshops, or everyday conversation. I aim to foster curiosity and inspire others to push their own boundaries, as I do mine.

Work Experience

A timeline of my professional journey and achievements.

Nov. 2024 - Dec. 2024

AI & Data Intern At Deloitte

  • Designed and implemented an event-driven data pipeline on AWS implementing EventBridge, Lambda, Airflow, and S3, automating data ingestion, orchestration, and storage.
  • Implemented key pipeline components using Python, PySpark, Airflow, and AWS, managing event-triggered and scheduled processing, orchestrating tasks via Airflow DAGs, configuring security settings, and storing processed outputs in S3 for downstream use.
  • Coordinated with team members and internal stakeholders to refine data processing strategies, improving workflow efficiency.
  • Liaised with senior team members and external stakeholders, presenting insights through PowerPoint reports on Microsoft Teams, ensuring alignment on project objectives.
  • Developed a client-facing pack utilizing Microsoft PowerPoint and Excel, integrating stakeholder feedback and expediting key project deliverables.
  • Documented and refined data ingestion processes using Microsoft Word, ensuring clear procedural guidelines for the team.

Jun. 2022 - Present

Private Piano Teacher

  • Taught 40 piano lessons annually to a primary school-aged student, advancing music theory and technique.
  • Developed weekly lesson plans aligned with AMEB classical coursework and adapted teaching methods to maintain high engagement and motivation.
  • Prepared student for recitals and AMEB exams, whilst maintaining regular communication with parent to manage expectations and outcomes.

Feb. 2021 - Present

Teaching Assistant At Kumon

  • Entered, organised, and maintained student performance data in Excel, utilising formulas and functions to track progress, generate reports, and identify learning trends to support individualised learning plans.
  • Tutored students in math and reading, providing constructive feedback to enhance academic performance.
  • Managed administrative tasks and reception duties, ensuring smooth business operations.
  • Responded to parent inquiries regarding student homework, providing clarifications and progress updates.

Mar. 2022 - Oct. 2022

Private Maths Tutor

  • Provided personalised math tutoring to a Year 7 student, enhancing their understanding and engagement with math concepts through customized lesson plans.
  • Motivated the student by using creative and engaging teaching methods, fostering a positive attitude toward math.
  • Monitored the student's progress in collaboration with their math teacher, successfully improving their grades by at least 2% in each school assessment.

Tech Stack

On top of building my proficiency in programming languages for analytics (i.e Python and R), I also like to dabble in UX/UI design, web development, data engineering and cloud computing.

Technologies

python
c
R_logo
html
css
javascript
typescript
tailwind
react
wordpress
aws
mysql
postgres
kafka
apachespark

Libraries & Tools

Scikit-Learn

Machine Learning

Pandas

Data Analysis

NumPy

Scientific Computing

Projects

This website you're on now is something I coded from scratch! But here are other projects I've done:

Running Dashboard

Running Dashboard

Involved analysing my health and running statistics to optimise my training for the Nike 10km Run this October. Inspired by the Strava app, I incorporated a linear regression model to predict my running performance on race day.

Bookstore Analysis

Bookstore Analysis

A data-driven analysis of sales trends, customer insights, and inventory management in bookstores. Applied unsupervised machine learning models to extract insights from customer and book attributes.

Travel Dashboard

Travel Dashboard

A travel insights dashboard to plan trips, track expenses, and explore destinations efficiently. My very first data analysis project, completed during VCE Data Analytics in 2022.

Background

More Cool Stuff

My Marathon Training

Helloo

Learn more
Women in Tech

I love learning and teaching. My role as Education Director for WIT Unimelb allows me to combine the two passions - creating impactful learning experiences for students whilst learning from industry professionals.

Check out some of the workshops I run!

Resources

Get in touch

What's next? If you have a question or are interested in collaborating, I'd love to connect! Let's work together to make industry education more accessible and impactful.

You may also find me on these platforms