Education
Institut Teknologi Bandung
Bachelor of Ocean Engineering
August 2011 – July 2016
GPA: 3.21
Relevant coursework: Information of Technology B, Statistic and Probability Analysis, Numerical Analysis, Engineering Economics, Field Data Acquisition and Analysis, and Modelling in Coastal Engineering.
Universitas Pendidikan Indonesia
Bachelor of Music Education
September 2013 – October 2019
GPA: 3.57
Telkom University
Master of Information System
September 2022 – July 2025
GPA: 3.69
Graduation Honors: AB (Very Satisfactory)
Specialized in Digital Enterprise System and Technology, with an academic focus on Business Analytics and Company Data.
Relevant Coursework:
Data Governance and Information Technology
Business Analysis and Company Data
Integration and Architecture of Company Applications
Information Assurance and Security
Thesis:
Evaluation and Retention Strategy of Digital Music Applications through Sentiment Analysis, Churn Prediction, and User Segmentation
Developed and deployed machine learning models for aspect-based sentiment analysis, churn prediction, and user segmentation. Built interactive business intelligence dashboards to visualize predictions, user clusters, and sentiment distribution, enabling data-driven retention strategies for application developers.
Conference Presentation:
The 12th International Conference on ICT for Smart Society (ICISS) 2025
Paper Title: Data-Driven Insight for AI Music E-Learning: Churn Prediction and Behavioral Segmentation
ICIMCIS 2023 — Challenges on Cloud Computing Migration Strategy for Music Industry: A Systematic Literature Review, https://doi.org/10.1109/ICIMCIS60089.2023.10348989
My Portfolio
Check out 30+ portfolio projects on my Portfolio Page, where each project is discussed in detail. Discover insights into Data Science, Business Intelligence, Data Analytics, and Data Engineering, including methodologies, case studies, and real-world applications.
Unlocking Retail Success with Data Analytics — Insights into Sales Performance and Customer Behavior
Working Process
Check out my GitHub, where I showcase 30+ portfolio projects across Data Engineering, Data Science, Data Analytics, and Business Intelligence, featuring real-world case studies from leading companies.
My projects include ETL/ELT pipelines, machine learning models, churn prediction, business intelligence dashboards, and customer analytics, demonstrating expertise in data transformation and actionable insights.
🔍 All project code, SQL queries, and documentation are available on GitHub for reference and hands-on learning.
What Services I'm Providing
Data Engineering
Hard Skill:
Data Warehousing, Integration, Apache Kafka Streaming, Scripting, Data Pipelines,
Techniques:
Data Scraping, ETL, Data Visualization, Big Data Analytics, Batch Processing, Data
Pipelines for Streaming System, Data Governance.
Tools & Software:
Python, GIT, SQL, Airflow, Hadoop, Cloud, PySpark, Tableau, Google Data Studio.
Data Science
Hard Skills:
Data Science Fundamentals, SQL for Data Science, Python Programming for Data Science, Data Processing & Data Wrangling, Data Visualization, Statistics for Data Science, Machine Learning (Supervised & Unsupervised), Deep Learning Fundamentals, Business Understanding in Data Science.
Techniques:
Exploratory Data Analysis (EDA), Data Cleaning & Processing, Statistical Analysis & Hypothesis Testing, Feature Engineering, Model Evaluation & Hyperparameter Tuning, Predictive Modeling, Supervised & Unsupervised Learning, Deep Learning Basics, Version Control & Collaborative Work (Git).
Tools & Software:
SQL , Python (100.00 Score in Programming, 96.67 in Data Types), Looker Studio, Scikit-Learn & Machine Learning Frameworks, Google Colab & Jupyter Notebook, Matplotlib & Seaborn (for statistical visualization), Git & Version Control
Business Intelligence & Data Analytics
Hard Skills:
Dashboard Development, Data Visualization, Funnel and Cohort Analysis, RFM Segmentation, A/B Testing, Uplift Modeling, Customer Lifetime Value (CLV) Optimization, Marketing Analytics, Data Warehousing & Data Modeling , ETL/ELT Development.
Techniques:
EDA, Segmentation Analysis (Customer & Market), A/B Testing for Decision Optimization, Churn Prediction & Customer Behavior Analysis, Predictive Analytics for Business Growth, Uplift Modeling for Marketing Campaigns, Data Storytelling & Reporting, Workflow Automation with Apache Airflow, Stored Procedures for BI Automation.
Tools & Software:
SQL. Python,
Apache Airflow,
Tableau & Power BI
Google Looker Studio
What My Mentors Says
Hijir Della Wirasti has been one of my mentees during my role as an Assistant Tutor for Data Science. She is a highly talented individual with excellent analytical skills. Her ability to analyze complex data, solve problems, and apply technical expertise in data cleansing, Python programming, and data visualisation is outstanding.
Hijir excels individually and within a team, demonstrating strong leadership qualities, effective collaboration, and a proactive attitude that drives success. I confidently recommend her for any data-related role, as her skills and leadership will be a valuable asset.
Hijir is an exceptional individual with a truly unique background—she holds double bachelor’s degrees in Music Education and Oceanic Engineering 🎼🌊 and also has experience in marketing. This rare mix of skills equips her with a sharp analytical mindset and the versatility to tackle complex problems from multiple angles.
What stands out most is her work ethic. While completing the bootcamp’s demanding final project, she also prepared for her thesis presentation, just days apart—handling both with impressive focus and dedication.
Hijir’s blend of creativity, technical ability, and marketing insight makes her a standout candidate for any team.
Mba della adalah sosok yang sangat passionate terhadap apa yang ia kerjakan, sangat cepat mempelajari hal baru dan mempunyai kemampuan team work yang mumpuni untuk bisa bekerja dalam team dan bahkan memimpin sebuah team.