Professional Summary
Fresh graduate from Institut Teknologi Bandung with expertise in Data Science, Machine Learning research, and Data Engineering. Proven track record in delivering data-driven solutions that drive measurable business impact, including achieving 71% cost reduction through analytical optimization and strategic data modeling.
Combines strong statistical foundation with hands-on experience in building end-to-end ML pipelines using Apache Airflow, from experimental research to production deployment. Proficient in communicating technical concepts to stakeholders and fostering effective team collaboration. Dedicated to translating complex data insights into actionable business strategies, leveraging expertise in mathematics, statistics, and advanced programming to support organizational growth.
Technical Skills & Expertise
Programming & Tools
Python
SQL
PostgreSQL
Docker
Neo4j
KafkaMachine Learning & Data Science
TensorFlow
PyTorch
Scikit-learn
Pandas
NumPy
PySparkDevelopment & Cloud Tools
Airflow
Git
Streamlit
MatplotlibSeaborn
Cloud ComputingResearch Interests
Work Experience & Projects
Data Engineer Intern
CURRENT- •Researched and implemented optimal storage tiers and retention policies, achieving a 71% annual reduction in storage and compute costs
- •Performed Pareto analysis on compute nodes and table-query access patterns to identify high-growth or inefficient jobs
- •Refactored complex queries (rewriting joins, adding partition pruning) to lower monthly Compute Unit consumption
- •Built and scheduled Apache Airflow DAGs to orchestrate end-to-end data ingestion, transformation, and delivery
- •Created and maintained pipelines that feed ML APIs in collaboration with ML Engineers
AI Engineer Intern
- •Achieved 95% accuracy in Face Recognition and 80% accuracy in Emotion Detection
- •Built scalable AI pipelines by implementing DevOps practices for seamless deployment and monitoring
- •Designed real-time data orchestration systems using Kafka and Airflow for automated AI model training
- •Researched and applied Agentic AI and advanced Deep Learning techniques to enhance model performance
- •Effectively communicated AI-driven insights to stakeholders, aligning solutions with business objectives
Back End Hacker
- •Conducted extensive data mining, crawling more than 80,000 datasets from padiUMKM website
- •Developed an NLP model for feature engineering product recommendations, improving precision by 85%
- •Successfully integrated the Llama 3.1 model, enhancing existing system performance by 60%
- •Built REST API endpoints using Flask for frontend integration
- •Created intelligent product comparison assistant, enhancing user efficiency by 70%
Data Engineer Intern
- •Developed Kimball design data warehouse concept improving data integrity
- •Implemented SCD2 dimensions, conducted source table profiling, and designed optimized fact tables
- •Implemented manual data quality checks and automated validation processes, reducing spread of dirty data
- •Created and presented data visualizations using Tableau to communicate insights to stakeholders
Education
Bachelor of Science in Meteorology
Bandung Institute of Technology
2020 - 2024
Relevant Coursework:
Statistics & Statistical Modeling, Numerical Methods & Mathematical Analysis, Data Science Engineering, Matrices and Vector Spaces, Risk Analysis & Probability Theory, Computational Meteorology
Leadership Experience
The Chief Committee
- •Demonstrated effective leadership by delegating tasks and mentoring team members
- •Acted as decisive leader, maintaining open communication to address challenges promptly
- •Successfully organized event with 98% positive feedback from participants
- •Achieved 99% satisfaction from attendees, showcasing exceptional organizational skills