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Bay Area · Data Science · AI / ML

Aye Nyein Kyaw.

also known as Jennica

I build machine learning systems, predictive models, and data-driven tools that work in the real world — from clinical AI to workforce intelligence to on-device ML.

Open to →
🧠
4 Live Projects
Deployed ML apps — Streamlit, Dash, Android
🏥
96.7% Sensitivity
CNN pneumonia classifier on 5,200+ chest X-rays
🏆
Google × Qualcomm
Hackathon — on-device AI, SignBridge
📊
70% Gap Found
Clinical trial gender disparity @ Shockwave Medical
Who I Am

Building with data, driven by purpose.

Aye Nyein Kyaw (Jennica)

Aye Nyein Kyaw
(Jennica)

Bay Area, CA

🇺🇸 English 🇲🇲 Burmese 🇨🇳 Mandarin

I'm a Data Scientist based in the Bay Area with hands-on experience building end-to-end ML systems — from raw data pipelines to deployed products. My work spans computer vision, NLP, predictive modeling, and interactive dashboards across real-world domains.

I've built a clinical AI tool achieving 96.7% pneumonia sensitivity deployed on Streamlit, an early-warning layoff forecasting system combining 4 economic data sources into a live dashboard, an on-device sign-language translator built at a Google × Qualcomm hackathon, and a financial NLP system using FinBERT + XGBoost for market signal detection.

I don't just build models — I make sure they're explainable, responsible, and production-ready. Every project ships with documentation, visualizations, and real users in mind.

"Turning messy, uncertain things into something organized and meaningful — that's what data science means to me."

Selected Work

Projects I've built.

Pneumonia Detection
01
🟢 Live · Healthcare AI

Pneumonia Detection from Chest X-Rays

96.7% sensitivity. Real X-rays. Real patients. A clinical AI tool deployed for a children's hospital in Myanmar.

Fine-tuned ResNet18 on 5,200+ pediatric X-rays. Generates AI clinical reports via a RAG pipeline pulling live WHO/CDC guidelines. Ships with Grad-CAM heatmaps and a 70% confidence gate for responsible AI.

PyTorchResNet18RAGChromaDBGroq LLMStreamlitGrad-CAM
Workforce Risk Radar
02
Senior Capstone · Dashboard

Workforce Risk Radar

4 data sources. 1 live dashboard. Predicts California layoff risk before it happens.

Fuses WARN records, FRED economic indicators, GDELT news sentiment, and tech layoff data into a unified monthly forecasting pipeline. Multi-page Dash app with EDA, methodology, and live risk predictions.

PythonDashRandom ForestRidge RegressionGDELTFRED API
03
🏆 Google × Qualcomm Hackathon

SignBridge AI

No internet. No server. No barriers. Real-time sign language translation built for offline accessibility.

On-device sign language translator running fully offline on Android via LiteRT/TFLite and Qualcomm AI Hub NPU. Built in 48 hours for privacy-first, real-time communication support.

TFLite / LiteRTQualcomm AI HubAndroidEdge MLComputer Vision
04
NLP · Finance · AI4ALL

Stock News Sentiment Analysis

FinBERT + XGBoost + SARIMAX. Three models, one mission — read the market before it moves.

Fine-tuned FinBERT with XGBoost to classify financial market signals from news headlines. Combined NLP features with time-series modeling for predictive accuracy and responsible signal interpretation.

FinBERTXGBoostSARIMAXNLPFew-Shot Prompting
Experience

Where I've worked.

January 2024 — May 2024
Shockwave Medical Data Research Intern
DxD Pathways to Health-Tech Internship Program
📍 Palo Alto, CA
  • Uncovered a 70% gender representation gap across 50+ IVL clinical studies through Python-based EDA, data cleaning, and aggregation.
  • Identified demographic and symptom-pattern disparities via descriptive statistics to diagnose predictive model performance gaps.
  • Delivered trial inclusivity insights to stakeholders using SQL and Tableau, surfacing low female PI representation (12%) in historical enrollment data.
Technical Skills

What I work with.

PythonRJavaC++JavaScriptSQLBash PyTorchTensorFlow / KerasScikit-learnOpenCVCNNsNLPLLMsTransformer ArchitecturesRAG PipelinesAgentic AIXGBoostFinBERTTime-Series ModelingGrad-CAMModel Evaluation PandasNumPySciPyMatplotlibSeabornPlotlyTableauPower BIJMP MySQLSnowflakeAWSGoogle CloudDockerGit / GitHubStreamlitDashFlaskRESTful APIsLinuxChromaDB
Certifications

What I've earned.

AWS Data Engineering
Amazon Web Services Academy
ML Foundations
Amazon Web Services Academy
ML for Natural Language Processing
Amazon Web Services Academy
Education

Academic background.

B.S. Data Science
San José State University
Graduating May 2026 · San José, CA
ML · Statistics · Database Systems · Data Structures · AI
A.S. Computer & Information Science
A.S.-T. Mathematics
College of San Mateo
Transferred 2024 · San Mateo, CA
🏅 Magna Cum Laude · Honors Graduate · Phi Theta Kappa
B.E. Electronics & Communications Engineering
Myanmar Institute of Information Technology
2016 — 2020 · Myanmar
Embedded Systems · Digital Signal Processing · Microprocessors
Get In Touch

Let's connect.

I'm actively seeking full-time roles in data science, ML engineering, and analytics. I'd love to hear from you.