Experienced Data Scientist and Machine Learning Engineer with a passion for transforming complex data into actionable insights. I thrive at the intersection of data science and software engineering, delivering robust AI solutions across startup and enterprise environments.
- 🔬 Building and deploying state-of-the-art machine learning models, including cutting-edge work with Generative AI
- 🌱 Continuously exploring emerging technologies and techniques in AI/ML
- 📊 Converting raw data into business intelligence that drives strategic decisions
- 🤖 Developing automated workflows that bridge data science and production systems
- 🚀 Passionate about creating scalable, efficient, and elegant code solutions
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FarmByte Machine Learning Engineer | Aug 2024 - Apr 2025 · 9 mos | Remote • Designed and built end-to-end forecasting pipelines with Prophet & Skforecast achieving 90%+ accuracy across 2000+ SKUs • Developed backend services and REST APIs using FastAPI with OpenAPI/Swagger documentation • Managed infrastructure as code using CloudFormation/Terraform for AWS services (S3, EC2, RDS, Glue, IAM) • Implemented CI/CD pipelines in GitLab CI/CD for automated testing and container builds • Deployed models in Docker & Airflow, orchestrating retraining on Kubernetes with autoscaling • Monitored performance and health using MLflow, Grafana, and Prometheus |
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Insignia.co.id Machine Learning Engineer | Apr 2024 - Jul 2024 · 4 mos | Hybrid • Developed an end-to-end image generation pipeline using Stable Diffusion, ComfyUI, and OpenAPI • Created product description text generation models to assist SMEs • Deployed the solution on Askdea.ai platform to enhance sales for small businesses |
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PT Isuzu Astra Motor Indonesia Data Scientist | Nov 2023 - Apr 2024 · 6 mos | Hybrid • Developed time series models to predict monthly demand for 16,000+ materials with 90%+ accuracy • Implemented automated time series model selection process for optimal forecasting • Classified demand types (Smooth, Intermittent, Erratic, Lumpy) to improve forecast stability |
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ISMAYA GROUP Business Intelligence Analyst | Mar 2023 - Jan 2025 · 1 yr 11 mos | Remote • Developed Google Maps scraping solution using Selenium, creating GCP-based dashboards for customer satisfaction tracking • Implemented OCR pipeline with Microsoft's Phi-3 model for text extraction, reducing processing time by 10x • Developed transaction anomaly detection using Isolation Forest, achieving 80% fraud detection accuracy • Implemented customer segmentation with RFM methodology, resulting in 2.4x increase in retention • Built time-based product recommendation system improving relevance by 30% when implemented in Ismaya+ app |
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PT Bank Rakyat Indonesia (Persero) Tbk Data Scientist | Mar 2022 - Nov 2023 · 1 yr 9 mos | Jakarta, Indonesia • Analyzed sender-receiver transactions using RFM methodology to identify potential customer acquisition targets • Developed end-to-end automated ML retraining pipeline using PySpark for classification tasks • Created merchant potential prediction models using vintage analysis and feature selection techniques, increasing BEP 2x from 8% to 15% • Implemented web scraping solutions using BeautifulSoup and Selenium for data collection • Analyzed savings patterns in Current Account Saving Account project to identify potential business owners |
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Aplikasi Super (YC W18) Business Intelligence Analyst | Jan 2022 - Feb 2022 · 2 mos | Indonesia • Developed BI solutions for Indonesia's first consumer technology company backed by Y Combinator • Created reports to improve business processes for agent-led commerce platform • Analyzed business requirements and recommended implementations to management • Utilized Tableau, Python, and Microsoft Excel to create documentation and user manuals |
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Tsingshan Holding Group Junior Analyst | Jan 2020 - Aug 2021 · 1 yr 8 mos | Morowali, Indonesia • Analyzed and monitored stainless steel production in Technology Manufacturing Department • Oversaw chemical composition analysis of AOD process using statistical methods with Minitab • Conducted standardization checks on work operations, particularly in continuous casting • Performed correlation analysis between production parameters (mold powder, pulling speed, tundish temperature) and product defects |
| 🔹 Languages |
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| 🔹 Frameworks |
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| 🔹 ML/AI |
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| 🔹 Data Tools |
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| 🔹 DevOps |
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class DataScientist:
def __init__(self):
self.name = "Bayuzen Ahmad"
self.role = "Data Scientist & ML Engineer"
self.language_spoken = ["id_ID", "en_US"]
self.interests = ["AI", "ML Engineering", "Data Science", "Software Development"]
def say_hi(self):
print("Thanks for dropping by! Let's connect and build something amazing together!")
me = DataScientist()
me.say_hi()
