Sayid Muhammad
Heykal
Data Analyst & Scientist
Jakarta, Indonesia
Informatics Engineering graduate bridging raw data and executive decision-making through ML research, predictive modeling, and interactive dashboards.
3+
ML Projects
3.68
GPA / 4.00
Data Analyst
Indonesia Youth Foundation · 2025–Present
Projects that
ship results
Predictive Churn Diagnostics & Strategic Action Plan
Analyzed drivers, geographic patterns, and key correlations of customer churn at JB Telco. Developed high-impact retention strategies that minimize future attrition using ML predictive models.
GitHub Repo
Full Deck
Dashboard
Streamlit App
Maximizing ROI through Targeted Discounts & Segmented Actions
Determined the most effective actions for specific customer segments using tailored discount strategies and sales predictive modeling to estimate discount impact on revenue.
GitHub Repo
Full Deck
The Intelligent Network: ML to Unlock Alumni Engagement
Optimized IYF's outreach using K-means clustering to segment alumni into 12 behavioral groups. Leveraged Gemini API for text extraction and Gemma embeddings for feature similarity.
USD-IDR Exchange Rate Prediction: Hybrid CNN-GRU & CNN-LSTM
Forecasted IDR/USD exchange rate by designing and comparing two hybrid deep learning models. Used 23 years of Yahoo Finance data, reducing MSE from 0.0019 to 0.00034 — an 82.11% improvement.
Bridging data
and decisions
As a highly motivated Informatics Engineering fresh graduate from the University of Muhammadiyah Prof. DR. Hamka, I've developed strong capabilities in data analytics, machine learning, and data visualization through academic research and organizational experience.
I combine technical rigor—developing high-accuracy exchange rate forecasting models—with business acumen in churn reduction and stakeholder reporting. I'm adept at bridging the gap between raw data and executive decision-making through structured reporting and collaborative project management.
82.11%
MSE Reduction in exchange rate forecasting model
3.68
GPA from University of Muhammadiyah Prof. DR. Hamka
6000+
Raw data used to be preprocessed, analyzed, and visualized
23 yrs
Historical data used in deep learning time-series model
Technical Stack
Experience &
Education
Data Analyst
2025 – PresentIndonesia Youth Foundation
Deliver data-driven insights to division heads to make decisions more reliable and measurable. Maintain interactive dashboards monitoring project progress against predefined KPI metrics.
Bachelor of Informatics Engineering
2021 – 2025University of Muhammadiyah Prof. DR. Hamka
GPA 3.68 / 4.00. Relevant courses: Data Mining, Machine Learning, Artificial Intelligence, Statistics & Probability, Calculus. Conducted literature review on 5 prior studies to identify state-of-the-art forecasting approaches.
- Designed hybrid CNN-LSTM and CNN-GRU architectures for financial time-series
- Reduced Mean Squared Error from 0.0019 to 0.00034 — 82.11% improvement
- GPA 3.68 out of 4.00
Specialized Intensive
Bootcamp Programs
PERIOD
Jan –- May 2025
PROVIDER
Skill Academy by Ruangguru
Skill Academy
Artificial Intelligence Specialization
LEARNING CURRICULUM
- Hands-on data preprocessing for complex analytical models.
- Deep Learning architectures and neural network optimization.
- Implementation and fine-tuning of Large Language Models (LLMs).
CAPSTONE PROJECT
NVIDIA FAQ AI Assistant
Fine-tuned EleutherAI LLM specifically for NVIDIA product technical support and documentation.
PERIOD
Feb –- July 2024
PROVIDER
Google, GoTo, Traveloka
Bangkit Academy 2024
Machine Learning Path
LEARNING CURRICULUM
- Comprehensive data preprocessing and analytics workflows.
- Advanced Machine Learning theory and implementation.
- Technical stack: Python, TensorFlow, and Scikit-learn.
CAPSTONE PROJECT
Skin Type Classification
Fine-tuned ResNet-50 architecture to classify human skin types with precision.
Let's work
together
Open to full-time data analyst and data scientist roles, freelance projects, and research collaborations.
Whether it's a data challenge, a modeling project, or a team you're building — I'd love to hear from you.
Send an Email