avatar
Riri Raissa Syifa Nabilah

🚀 Bachelor of Engineering Physics @ ITB

🛠️ Tech enthusiast in Data and Machine Learning

👾 Aspiring to be an Analytics Master!

📨 riri.raissa12@gmail.com

Please kindly check out my projects! ✨ (EDA and Machine Learning - Python)

Let's bridge the gaps and spark conversations! 🪄

🏫 Institut Teknologi Bandung (Aug 2019 - Jul 2023)

Engineering Physics

• Bachelor Thesis:

“Development of A Color Mapping and Classification System for Batik Textile from Garut and Solo”


• Implemented deep learning model ESRGAN for 4x resolution enhancement of low-quality batik cloth images


• Leveraging supervised and unsupervised machine learning to predict the origin of batik fabric from photos based on 5 dominant colors


• Presented the research paper at “The 8th International Conference on Instrumentation, Control, and Automation (ICA) 2023 in Jakarta on August 10th

⚒️ Data Architect Intern (Jun - Dec 2023)

Enhancing the Airbnb Performance through Price Prediction and Market Segmentation Using Machine Learning


Airbnb, a renowned online hospitality platform, connects hosts offering short-term lodging accommodations with guests seeking temporary stays.


However, hosts and guests often lack market awareness concerning their properties.

Build Database system

💫Integrated 3200+ data

VBA, SQL, Ms. Access, Ms. Excel, ERD

Analyzed 3-month of Oreo sales data

⚒️ Data Analyst Intern (Aug - Nov 2023)

Management10+ projects

Ms. Excel (Pivot Table, Vlookup, If-Else, Plot)

⚒️ Data Engineer Intern (Jun - Aug 2022)

Telkom

ETL System for tea factory’s sensors

89% accuracy using ESP32

Arduino, .json, data pipeline, ESP32, ETL

Machine Learning Model to Predict Hotel Booking Cancellation called “Don’t Cancel!”


When a customer places an order, the order may or may not be canceled later. To assist the hotel in minimizing losses it is necessary to analyze and predict the factors that lead customers to cancel their orders

SQL Query Study Case: Revolutionize Sales Unleashing the Power of Product


Conducted a thorough analysis of product trends across 5 tables, emphasizing the primary fact_sales table to optimize sales strategies.


This analysis offers actionable insights to enhance sales and refine marketing approaches for maximum impact in the next campaign.

Hand Sign Detector on MATLAB


Developed and implemented a deep learning Convolutional Neural Network (CNN) model based on AlexNet architecture comprising 8 layers for feature extraction and 26 connected layers corresponding to the 26 alphabets.


A classification layer at the end was employed to accurately identify the displayed alphabet.

Skills

Data Analysis

Pivot Table, Data Cleaning, Exploratory Data Analysis, Classification Analysis, Data Visualization, Data Manipulation, Feature Engineering, Unsupervised Machine Learning, Supervised Machine Learning

Software

Microsoft Office (Power Point, Word, Excel, Access), Python, Jupyter Notebook, Google Colaboration, Visual Studio Code, MATLAB, Looker Studio, Power BI, DBeaver, PostgreSQL, Figma

Programming Language

Python (NumPy, Matlotlib, Pyplot, Pandas, sklearn), SQL, MATLAB, Visual Basic for Applications

Language Skills

Native in Bahasa Indonesia, limited working proficiency in English

Banking Services: Unraveling Customer Transaction Journeys


This is a case study project for a bank transaction scenario with generated dummy data that I created using the Faker library in PostgreSQL.

Please kindly check out my projects! ✨ (SQL Query)

Other Projects ✨

Product Revenue Growth Market Analysis


SQL Query to gain insight and market analysis of Product's Revenue

⚒️ Data Analyst Intern (Dec 2023 - Jan 2024)

Biops Agrotekno

🍆

0.98 Logistic Regression ML

🔑 4 key insights and visualized optimal env

Python, ML, Ms. Excel

⚒️ Data Engineer @ ODS (Jan - Aug 2024)

🏠

91,4% success rate in data mapping

🗿 6 internal projects to enhance ODS and ETL

SQL, DBeaver, ETL, ODS

⚒️ Bussiness Intelligence (Aug 2024 - Present)

SQL, Python, Excel, Sheet