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КА

Каринэ Арипова

@kareeneanConnected with DSML. This person's Telegram account has been confirmed through DSML Kazakhstan.

Data Scientist | Computer Vision and Applied Machine Learning

Я увлекаюсь Data Science-ем и ML Engineer-ингом больше года. На данный момент работаю на позиции джун Дата Сайентиста.

Career

Experience: 1 years

Experience

Middle Data Scientist (Feb 2026–Present); Junior Data Scientist (Jul 2025–Feb 2026)

Freedom Insurance

Jul 2025 — Present

Built vehicle damage computer vision and document-processing tools, cutting inspection and document handling times; also developed claims automation handling about 20% of incoming calls.

• As Middle Data Scientist: Developed a computer vision MVP for vehicle damage detection using YOLO-based segmentation models for damages and car parts. • As Middle Data Scientist: Built model evaluation pipelines with IoU-based matching, TP/FP/FN analysis, precision, recall, F1-score, bbox evaluation, and visual inspection tools. • As Middle Data Scientist: Created a GPU-based inference service returning structured JSON outputs with damage classes, segmentation coordinates, confidence scores, and S3/VAST file paths.

AI Engineer (Freelance)

CTE Platform

Aug 2025 — Nov 2025

Built a Telegram medical assistant that interprets requests and recommends relevant doctors, clinics, and services.

• Developed a Telegram bot that interprets free-text medical requests and recommends relevant medical specializations, services, and doctors. • Used GPT-4 / GPT-4 mini for symptom understanding, intent classification, and structured JSON generation. • Built a FastAPI backend integrated with an internal database of doctors, clinics, and medical services.

Software Engineer Intern

TOO “Oil Transport Corporation”

May 2024 — Aug 2024

Developed and maintained an internal iOS app, including interface features, API integrations, testing, and performance improvements.

• Developed and maintained an internal iOS mobile application. • Implemented UI/UX features, API integrations, testing, debugging, and performance improvements.

Education

Bachelor, Computer Science

Nazarbayev University

2021 — 2025

Selected projects

Driver Drowsiness Detection System

Built a real-time mobile drowsiness detection system using deep learning and computer vision. Processed 400,000+ video frames and extracted facial landmarks, EAR, MAR, and head pose features with MediaPipe. Trained an LSTM model in TensorFlow/Keras to classify driver states into stillness, drowsy, and alert. Evaluated performance using precision, recall, F1-score, and a confusion matrix; suppor...

Skills

PythonSQLPostgreSQLMSSQLPyTorchTensorFlowscikit-learnNumPyPandasOpenCVMediaPipeYOLOv8YOLOv11Image segmentationObject detectionBBox/polygon evaluationIoURoboflowSuperviselyFastAPI