Rifqi

Data Scientist

Transforming data into actionable insights

About Me

Rifqi

A highly motivated and results-driven Statistics graduate from Universitas Indonesia with hands-on experience in Data Science and Data Analytics through internships and competitions. Skilled in Python, R, SQL, and data visualization, with practical knowledge of developing scalable data pipelines and deploying models to support business decision-making. Experienced in the insurance and telecommunications industries, where I translated complex data into actionable insights and business strategies. Passionate about applying cutting-edge AI methods to real-world problems and continuously staying updated with advancements in ML and generative models.

Experience

Work Experience

Dec 2024 - Present

Business Data Analyst Apprenticeship

Prudential Syariah

  • Analyzed weekly agent production trends and prepared executive reports. Created presentation decks for national-scale meetings, improving clarity and alignment across business units.
  • Cleaned, managed, and maintained large-scale databases of agent performance and active manpower. Standardized data pipelines, resolved inconsistencies, and implemented quality checks to ensure accuracy and reliability of business reports.
  • Automated daily data reporting workflows using Excel, reducing manual effort and ensuring timely insights for the business development team.
  • Managed the NextWave Development Program database, monitoring agent performance (production, activity rate, and productivity) and identifying high-potential candidates through performance tracking.
Feb 2024 - Jun 2024

Data Scientist Intern

Telkomsel

  • Analyzed 2,000,000+ geohash records from 2,000 cellular towers across Java Island to identify underserved areas with limited broadband/mobile coverage, enabling targeted customer acquisition strategies for Telkomsel & IndiHome.
  • Collaborated with the network team to forecast payload and revenue by deploying machine learning models using geospatial clustering, statistical methods, and suboptimal RSRP data, accelerating network optimization and improving service reliability in West Java.
  • Developed competitive acquisition maps and data-driven insights that guided infrastructure enhancement and strategic broadband expansion for Telkomsel & IndiHome.
  • Built an interactive Power BI dashboard connected to SQL pipelines to monitor forecasted payload and high-potential regions, supporting data-driven decisions on network expansion.

Organization

Sep 2023 - Feb 2024

Statistical Agent (Data Analysis Staff)

Pojok Statistik UI

  • Applied advanced analytics (PCA, PCoA, Heatmap Clustering) to derive client insights
  • Conducted exploratory data analysis and presented findings to clients
  • Collaborated with Badan Pusat Statistik to provide statistical consulting and education
Jun 2023 - Feb 2024

Head of Registration

LOGIKA UI 2024

  • Led and managed a team of 7 members with the Vice Head of Registration
  • Developed Google Sheets database system for 500+ participants across 7 competition fields
  • Organized registration flow for offline events with 60+ participants
  • Created registration guidelines for 7 competition fields and assisted 50+ participants

Featured Projects

Deforestation Monitoring

Monitoring Deforestation with fKAN Networks

Hybrid EfficientNetB2+fKAN model achieving 98.15% accuracy in detecting deforestation using EuroSAT satellite imagery of Indonesia's new capital. Outperformed standard CNNs with fewer parameters.

View on GitHub
Election Twitter Analysis

2024 Election Twitter Analysis

Analyzed 9.8M election tweets using Sentiment Analysis, LDA Topic Modeling, and Social Network Analysis. Identified key political discourse patterns during Indonesia's presidential election.

View on GitHub
Text Classification

Astagatra Text Classification

Won "Most Scalable Algorithm Award" at BDC Satria Data 2024 using imbalanced sampling and fine-tuned IndoBERT for categorizing election tweets into national resilience components.

View on GitHub
Fall Detection

Human Fall Detection System

Hybrid YOLOv8+ConvNext model achieving 95.9% accuracy in real-time fall detection. Combines object detection with activity classification for improved safety monitoring.

View on GitHub
Skin Cancer Detection

Skin Cancer Detection with EfficientNet

Deployed Streamlit application using EfficientNet for early detection of melanoma from dermatoscopic images. Focused on accessibility for remote healthcare applications.

View on GitHub
Unemployment Analysis

Spatial Unemployment Analysis

Geographically Weighted Regression study identifying regional factors affecting unemployment in East Java, revealing spatial heterogeneity in economic indicators' impacts.

View on GitHub

Achievements

Most Scalable Algorithm

Most Scalable Algorithm

Big Data Challenge Satria Data 2024

Awarded for efficient imbalanced text classification solution using IndoBERT
2nd Place Datavidia

2nd Place Winner

Datavidia - Arkavidia 9.0

Achieved best model for property rental price prediction
3rd Place Data Mining

3rd Place Winner

Data Mining Action UNESA 2024

Recognized for innovative approach to Environment and Sustainability analysis
Statistics Olympiad

5th Place Winner

Statistics Olympiad Poisson 2024

Top 5 finish in national statistics problem-solving competition

Certifications

Google Data Analytics Certificate

Google Data Analytics

Google Advanced Data Analytics Certificate

Google Advanced Data Analytics

Get in Touch

rifqihafizuddin@gmail.com