Hi, I'm Engelberta 👋
AI and Data Scientist with a Master's degree and over 3 years of experience specializing in NLP, predictive modeling, and Python-based automation. Published researcher on hybrid deep learning architectures (LSTM). OpenAI certified.
About
AI and Data Scientist with a Master's degree and over 3 years of experience specializing in NLP, predictive modeling, and Python-based automation. I possess a strong foundation in model evaluation, published research on hybrid deep learning architectures (LSTM). With hands-on certification in OpenAI AI development, configuration-based AI solutions, I am eager to apply my skills. I have worked with global companies like Nestlé and Capgemini across Southeast Asia, and I am passionate about teaching and mentoring the next generation of data scientists.
Services
Data Analytics & Business Intelligence
Understanding what happened and what is happening now. Helping businesses gain visibility into their operations through data.
Data Science & Predictive Modeling
Forecasting the future and optimizing outcomes using advanced statistical and machine learning techniques.
Data Engineering & Automation
Helping clients move and structure their data reliably with robust, automated pipelines.
Strategy & Consulting
High-level expertise to help businesses make data-driven decisions.
Work Experience
PT. Esensi Solusi Buana
Data Analyst
Engineer custom AI and NLP models using Python and AI Modelling, focusing on code-based configuration to ensure high accuracy and reliability in revenue forecasting. Translate complex market variables into predictive insights by conducting rigorous model evaluation and feature engineering.
Initiator Academy
Data Consultant and Tutor
Deliver corporate training and mentoring on data science workflows. Led structured research projects focusing on AI development, guiding students through model selection, optimization, and visual analytics. Clients: Toyota, BPD, IPB, and the Supply Chain Indonesia Community.
University Technology Mara
Assistant Lecturer (Part Time)
Mentored 100+ undergraduate students on applied data science concepts and tools. Designed and delivered live sessions on Python, NLP, ML pathways, LLM, and visual analytics.
Nestlé
Regional Digital Analyst (Contract)
Built partner and market dashboards to track digital engagement KPIs across 13 Southeast Asian countries. Collaborated with regional stakeholders to identify trends, gaps, and areas of optimization based on partner experience data.
Capgemini
Social Business Analyst Associate (Contract)
Worked with customer feedback, sentiment, and behavioral data to support product and service teams. Created internal dashboards using Power BI to measure campaign performance. Increased engagement forecast accuracy by 28%.
Unitech Indonesia
Digital Marketing Analyst Junior
Created and maintained operational dashboards to track e-commerce KPIs. Performed data cleansing routines to improve report accuracy and reduce dashboard errors.
Education
University Technology Mara
Master's Degree in Data Science | CGPA: 3.93 | First Class Honours
Thesis managed to capture 88% of the factors contributing to the current Ethereum price, while considering the dependence on Bitcoin, increasing the accuracy of the forecast. Conducted 25+ study projects focused on improving ML models for real-world applications.
Brawijaya University
Bachelor's Degree in Statistics | CGPA: 3.48
Focused on time series forecasting. Led the university's student creative program team to speech finals. Built an open-source gamification platform used by 50+ students. Held leadership roles in 6 organizations and 3 Asia-wide events.
Skills
Publications
Predicting Ethereum Opening Price Using Integrated Error Correction Model and Long and Short-Term Memory Approach
Institute of Electrical and Electronics Engineers (IEEE) Access Journal
Developed a hybrid deep learning model combining Error Correction Models (ECM) with Long Short-Term Memory (LSTM) networks to predict market trends. Managed full-stack ML workflows including feature engineering, model evaluation, and deployment of visualizations using Streamlit.
Soil Classification in Surabaya Area Using Deep Learning Approach Based on Cone Penetration Test Data
International Conference on Civil Engineering and Technology (CIVENTENCH) Journal
Co-developing deep learning classifiers for structured environmental data to support predictive modeling for field conditions. Decision trees achieve about 99.608% training accuracy and F1 score.
Get in Touch
I'm always open to discussing data science projects, research collaborations, or new opportunities. Drop me a message and I'll get back to you as soon as I can.