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T
Tên H.

Tên H.

Data Scientist, Center of Data Management and Applied Research, TPBank

Vietnam flagN/A, Vietnam

Key Skills

Software

LabelboxLabelbox
RoboflowRoboflow
Other

Top Subject Matter

Retail banking customer churn prediction
Customer chatbots and LLM/RAG training for telecommunications

Top Data Types

TextText
ImageImage
VideoVideo

Top Task Types

Fine-tuningFine-tuning
Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)
Bounding BoxBounding Box
PolygonPolygon
SegmentationSegmentation
ClassificationClassification
Object DetectionObject Detection
Question AnsweringQuestion Answering

Freelancer Overview

Data Scientist, Center of Data Management and Applied Research, TPBank. Brings 11+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose. Education includes Bachelor, Diplomatic Academy of Vietnam (2014). AI-training focus includes data types such as Text and labeling workflows including Fine-tuning and Prompt + Response Writing (SFT).

Labeling Experience

Data Scientist/AI Engineer, Indochina Telecom (iTel)

Don't discloseTextTextPrompt + Response Writing (SFT)Prompt + Response Writing (SFT)

Built and deployed LLM-based conversational applications, including prompt engineering and LLM training/optimization activities as part of AI system development. Integrated Rasa, generative AI, and RAG to enable customer workflows such as subscription purchases, order status checks, and product/promotional advisory responses. Implemented conversational “talking-head” AI by combining speech-to-text, text-to-speech, LLMs, and computer vision/generative components. • Created a customer-facing AI chatbot using Rasa, Python, generative AI, and RAG. • Led integration of STT, TTS, LLMs, and generative/vision libraries (e.g., Dreamtalk, Amphion) for a conversational talking-head AI. • Performed advanced prompt engineering, LLM training, and optimization using open-source LLMs (LLaMA, Mistral). • Developed and deployed a customer churn prediction model and participated in computer vision preprocessing/deployment.

2022 - 2023

Data Scientist, Center of Data Management and Applied Research, TPBank

Don't discloseTextTextFine-tuningFine-tuning

Worked on churn prediction modeling as part of machine learning development, supporting model training workflows rather than manual annotation. Used CRISP-DM to structure data and modeling steps leading up to deployment and evaluation. Involved processing tabular customer data to train predictive models and assess outcomes. • Developed customer churn prediction models using the CRISP-DM framework. • Analyzed and processed large volumes of tabular data using SQL and pandas. • Used visualization libraries to support model development and analysis. • Focused on retail banking churn use cases for downstream implementation.

2021 - 2022

Education

D

Diplomatic Academy of Vietnam

Bachelor, International Economics

Bachelor
2010 - 2014

Work History

I

Indochina Telecom

Data Scientist / AI Engineer

N/A
2022 - Present
T

TPBank

Data Scientist

N/A
2021 - 2022