Hello, I'm

Afni Puspita Zahra

Data Scientist

Data Scientist with production experience in health insurance claim validation and fraud detection. Built the medicine intelligence and entity matching layers of a live claim platform, reconciling 93,000+ drug and provider names against master data to drive automated claim decisions, and ran a document-analysis model from dataset preparation through training, evaluation and deployment. Used to being the only data person on a system, working closely with QC, engineering and QA to get models into production.

Featured Projects

2026

Claim Document Analysis Model Fine-Tuning

In-house fine-tuned model built to replace the third party LLM the claim pipeline currently rents for extracting patient, billing and fraud indicators keeping sensitive claim data inside the company, removing per call vendor cost, and improving accuracy on domain specific claim formats. Prepared the 6,000 documents dataset, responsible for preprocessing, training, evaluation, and deployment through Kubeflow into the production claim pipeline.

PythonFine-TuningKubeflowNLPDocument Analysis
2026

PrimeKG Drug Repurposing System

Engineered an advanced drug-disease interaction prediction model leveraging the PrimeKG dataset. Developed and optimized machine learning pipelines applying Cosine Similarity and Z-score normalization algorithms to accurately map relationships between medical entities. Built an end-to-end application comprising a robust backend and an interactive frontend to visualize knowledge graph insights for medical research.

PythonMachine LearningPrimeKGKnowledge GraphFlask
2025

ESG Level Prediction Using Financial Data & Sentiment Analysis

Developed a Random Forest model with SMOTE (F1-Score 0.68) and integrated NLP sentiment analysis from social media (X) to provide holistic ESG scoring. Evaluated multiple algorithms, including a Stacking Classifier, to determine the optimal architecture, and transformed complex model outputs into actionable insights to assist investors in identifying sustainable opportunities.

PythonRandom ForestNLPSMOTEScikit-learn
2024

Bank Customer Loyalty Prediction Using Random Forest Classification

Built and optimized a Random Forest machine learning model capable of predicting customer loyalty with 84.32% accuracy through rigorous data preprocessing. Analyzed critical variables such as product ownership and income to generate actionable insights for targeted marketing strategies.

PythonRandom ForestPandasFeature Engineering

Work Experience

Data Scientist

PT Syntech Mitra Integrasi

March 2026 – Present

  • ▸Built a modular Medicine Intelligence engine (Python, PostgreSQL) that pre-screens drug claims ahead of the main validation API — vitamin and supplement classification, active-ingredient mapping, coverage ratio analysis, price anomaly checks, ICD diagnosis relevance, and BPOM product mapping with generic versus branded detection — returning an APPROVE, REJECT or REVIEW decision with a stated reason.
  • ▸Implemented fuzzy string matching to reconcile 93,000+ raw drug names and hospital provider names against master data, with configurable thresholds and explicit exact, fuzzy and no-match handling.
  • ▸Exposed the engine as REST endpoints using FastAPI covering member validation, formulary processing, BPOM mapping and provider matching, with batch input of up to 200 items per call.
  • ▸Ran the fine-tuning workstream for a claim document-analysis model: prepared the 6,000 documents dataset then handled preprocessing, training, evaluation, and deployment through Kubeflow into the production claim pipeline.

Data Management Intern

Burn Motion

Jun – Oct 2025

  • ▸Managed and prepared data from cross-functional teams (KOL, Content Creator, E-commerce, Sales) to ensure data integrity for further analysis.
  • ▸Analyzed live stream sales drivers and audience sentiment to optimize strategies for future sessions.
  • ▸Performed regional sales analysis to identify and rank high-potential areas, providing crucial insights that supported the Sales team in achieving their reseller KPIs.

Junior Data Scientist

PT. Inovasi Lentera Cipta Kreasi

Feb – Jun 2025

  • ▸Executed end-to-end data cleaning and preprocessing to guarantee data quality for modeling.
  • ▸Spearheaded an end-to-end analysis to identify high-potential Science majors, presenting the findings via a Tableau dashboard.

Skills & Expertise

Languages

Python
SQL
JavaScript
C++
PHP

Frameworks & Libraries

FastAPI
Pandas
Flask
Streamlit

Database

PostgreSQL
SQL Server
MySQL

Platform & Tools

Docker
Kubeflow
Tableau
Visual Studio Code
Antigravity

Data & Analytics

Data Pipeline Engineering
Model Fine-Tuning & Evaluation
Predictive Modeling
Statistical Analysis
Performance Optimization
Real-time Monitoring & Dashboarding
Capacity Planning

Soft Skills

Problem Solving & Analytical Thinking
Leadership & Team Mentoring
Technical Communication
Public Speaking
Cross-functional Collaboration
Adaptability & Fast Learner

Leadership & Activities

A glimpse into my professional and academic life beyond code.

Assistant Lecturer & Facilitator

Data Science Discussion

University Activation

Let's Connect

I'm always interested in hearing about new opportunities and collaborations. Whether you have a question, project proposal, or just want to say hello, feel free to reach out. I'll get back to you as soon as possible.

Send me an email

© 2026 Afni Puspita Zahra. All rights reserved.

Crafted with ❤ for data-driven solutions