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© 2026 Sabrina Aziz Aulia. All rights reserved.

About

The story, journey, and interests that shape my logical approach to engineering data systems.

My Story

I am a Mathematics graduate from Semarang State University (UNNES) who bridges mathematical reasoning with software development, machine learning models, and automated business integrations. My academic path instilled a deep appreciation for logical rigor and statistical forecasting, which I apply directly to modern data engineering and AI challenges.

Academic Spotlight

Universitas Negeri Semarang

Bachelor of Mathematics • Mathematics

Aug 2021 – June 2025

Thesis Research

Implemented a Hybrid SSA–Deep Learning pipeline for hourly electricity load forecasting (2016–2024, ~77,000 data points)

Developed and compared SSA-LSTM, SSA-BiLSTM, and SSA-GRU models, achieving >95% forecasting accuracy.

GPA:3.78 / 4.00

Interests & Passions

Algorithmic Mentorship

I love breakdown of complex logic (dynamic programming, graphs) into simple tutorials for high school Olympiad candidates.

Mathematical Curiosities

Fascinated by history of mathematics, game theory, chaos systems, and how statistical distributions occur in nature.

Data Art & Viz

Building unique maps, custom chart animations, and scraping dashboards to present abstract data visually.

Sabrina Aziz Aulia

Sabrina Aziz Aulia

Data AnalystData ScientistAI Engineer
saazizau@gmail.com
Semarang, Indonesia
Availability:Open for Opportunities

My Journey

Present

Looking for Opportunities

Eagerly looking for full-time positions as an AI Engineer or Data Scientist to apply mathematical rigor and automation tools to real-world business challenges.

2025–2026

Data Analyst Intern at Pennyu Indonesia

Developed 6 major business case projects. Redesigned PPIC planning buffer logic reducing deviation by >95%, optimized route mapping improving logistics efficiency by 9%, and built 15+ pages of Looker Studio & web dashboards.

2025

SSA–Deep Learning Thesis & Graduation

Completed and published a thesis applying a Hybrid SSA-LSTM/BiLSTM/GRU forecasting model on 77,000 hourly electricity points, achieving >95% accuracy. Graduated with a 3.78 GPA.

2024

Tutoring & Algorithm Coaching

Began coaching high school students in Informatics Olympiad and competitive programming, focusing on algorithmic efficiency and data structures.

2023

Programming & Data Science Transition

Discovered Python, database concepts, and statistical computing. Built first classification models and exploratory analysis notebooks.

2021

Academic Beginnings at UNNES

Enrolled in Semarang State University (UNNES) to study Bachelor of Mathematics, forming a strong foundation in calculus, linear algebra, and statistical theories.