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Schedule Interview NowRiyan Sthefanus N. Python, SQL and Data Engineering
My name is Riyan Sthefanus N. and I have over 6 years of experience in the tech industry. I specialize in the following technologies: Python, SQL, Data Engineering, Machine Learning, Computer Vision, etc.. I hold a degree in Bachelor of Computer Science (BCompSc). Some of the notable projects I’ve worked on include: Bank Marketing End-to-End Data Pipeline, Customer & Target Market segmentation, Sentiment Analysis of Review, TensorFlow Developer Certificate (Expired). I am based in Bekasi Barat, Indonesia. I've successfully completed 4 projects while developing at Softaims.
I thrive on project diversity, possessing the adaptability to seamlessly transition between different technical stacks, industries, and team structures. This wide-ranging experience allows me to bring unique perspectives and proven solutions from one domain to another, significantly enhancing the problem-solving process.
I quickly become proficient in new technologies as required, focusing on delivering immediate, high-quality value. At Softaims, I leverage this adaptability to ensure project continuity and success, regardless of the evolving technical landscape.
My work philosophy centers on being a resilient and resourceful team member. I prioritize finding pragmatic, scalable solutions that not only meet the current needs but also provide a flexible foundation for future development and changes.
Main technologies
Python, SQL and Data Engineering
6 years
Python
1 Year
SQL
3 Years
Data Engineering
1 Year
Additional skills
- Python
- SQL
- Data Engineering
- Machine Learning
- Computer Vision
- Natural Language Processing
- Data Science
- Deep Learning
- Time Series Forecasting
- NoSQL Database
- Big Data
- ETL
- Data Warehousing
- Data Analysis
- Cloud Computing
Direct hire
Potentially possible
Previous Company
Traveloka
Experience Highlights
Bank Marketing End-to-End Data Pipeline
The marketing team of a bank company wants to launch a more effective marketing campaign program for housing loan product. To do this, they need to understand the different types of customers they have and how to target them. They request the data team to create customer segmentation based on their demographic characteristics, such as age, education, occupation, etc. The marketing team need data source about customer segmentation in order to decide their marketing strategy. This reference must be reliable and future-proof for upcoming marketing campaign. To initiate this project, the data team receives a dump file of customer profile data in csv format from the marketing team. The data team will create end to end data pipeline to provide reliable data source, insights and recommendations to the marketing team. The dev team will also create an API to feed the customer profile data to the marketing campaign program, so that the marketing team can send personalized messages and offers to each segment. Objective 1) Data pipeline that shows demographic customer segmentation from registration data 2) Analytical dashboard that shows customer segmentation and target market for housing loan product campaign Key Takeaways: With Architecture proposed, the data has been fulfilled the objective and accurately loaded into an analytics-ready dataset. beside that there is another benefit with architecture proposed: Flexibility: All our tools have the capability to upscale compute, storage, and bandwidth capacity by more than 20% to accommodate unpredicted growth and future improvement. They also support both Stream and Batch processing. Monitored: All tools support monitoring service, enabling us to effectively monitor our service Data Compliance: We ensure data compliance by using infrastructure based in Indonesia. Cost-Effective: We utilize infrastructure tailored to our needs, resulting in a cost of approximately ≈$70 monthly.
Customer & Target Market segmentation
The bank's marketing team aims to enhance its housing loan marketing by understanding customer segments. They need reliable, future-proof customer segmentation based on demographics like age, education, and occupation to inform their strategy. The data team receives a CSV dump of customer profiles and will build an end-to-end data pipeline, offering insights and recommendations. Additionally, the dev team will develop an API to integrate customer data into the marketing program, enabling personalized messaging and targeted offers for each segment.
TensorFlow Developer Certificate (Expired)
The goal of this certificate is to provide everyone in the world the opportunity to showcase their expertise in ML in an increasingly AI-driven global job market. This certificate in TensorFlow development is intended as a foundational certificate for students, developers, and data scientists who want to demonstrate practical machine learning skills through the building and training of models using TensorFlow.
Education
Universitas Teknologi Yogyakarta
Bachelor of Computer Science (BCompSc) in Specializing Artificial Intelligence, GPA: 3.56
2018-01-01-2023-01-01
Languages
- English
- Indonesian
Github
Stackoverflow