Profile Picture

Contact

Skills

Programming:
Python, SQL (MySQL, PostgreSQL), R

Data Viz:
PowerBI, Apache Superset, Tableau, Plotly

Tools & Cloud:
Microsoft Azure, Streamlit, Pandas, Scikit-Learn, PySpark

Languages:
English (Professional)
Indonesian (Native)
Dutch (Basic)

Certifications

edX : Verified Certificate for Statistical Learning

Sololearn : Certificate of Completion: SQL Fundamentals

Gama Candra
Tri Kartika

Data Scientist | Data Analyst

Data Science professional with an M.Sc. in Applied Data Science from Utrecht University and a B.Sc. in Computer Science from UGM. Currently serving as a Junior Manager at PT Bank Rakyat Indonesia, leveraging expertise in SQL, Python using PySpark, developing data from Hive, and Apache Superset to drive data development and audit operations. Combines international experience in Amsterdam with a strong technical foundation in statistical learning to deliver actionable data-driven solutions.

Professional Experience

BRI Logo
Junior Manager, Data Dev & Ops PT Bank Rakyat Indonesia (Persero) Tbk
Aug 2024 – Present
  • Developed comprehensive visualizations to monitor yearly audit progress, enhancing leadership's ability to track performance.
  • Engineered new Key Risk Indicators (KRIs) to proactively identify potential audit issues and mitigate risks.
  • Streamlined data provision processes for auditors, ensuring timely access to critical information for field operations.
  • Built a custom search engine to facilitate rapid retrieval of audit documentation, significantly improving team efficiency.
BFLP Logo
BFLP Trainee (Data Science Audit) PT Bank Rakyat Indonesia (Persero) Tbk
Oct 2023 – Aug 2024
  • Gained deep expertise in banking operations, business processes, and audit methodologies through an intensive leadership development program.
  • Conducted a strategic study on Risk Indicators, utilizing PowerBI to model and visualize potential risks for the audit department.
In2Intel Logo
Data Science Trainee In2Intel, Amsterdam
Sep 2022 – Sep 2023
  • Designed and deployed interactive dashboards using PowerBI to visualize complex datasets for client stakeholders.
  • Implemented web scraping pipelines to harvest social media data and performed sentiment analysis to derive actionable insights.
  • Contributed to a high-tech Digital Twins project utilizing Microsoft Azure, simulating physical systems for predictive analysis.

Education

Utrecht University Logo
M.Sc. Applied Data Science Utrecht University
2021 - 2022
Thesis: Understanding Text Features and Time Importance Of A Machine Learning Model on Plumbers Reviews.
UGM Logo
B.Sc. Computer Science Universitas Gadjah Mada
2015 - 2019
Thesis: A Comparative Study of Features Extraction, Features Selection, and Classifier Methods on Sentiment Analysis During Indonesian Election.