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Hi, I’m Phuwit Vititayanon, an AI engineer and data scientist who loves turning raw data into real-world products. Over 6+ years I’ve built end-to-end data science solutions in startups—from LLM features and predictive models to the data plumbing that powers them—working directly with executives and cross-functional teams to ship from prompt to production. Recently I’ve driven wins like a Gen AI listing content, feedback intelligence, and propensity modeling, opening a new B2B line for the company. I enjoy hands-on research, mentoring junior teammates, and delivering measurable business impact through practical ML and data-analytics work. I’m excited to bring strong technical skills and a collaborative, results-driven mindset to new challenges.…Hi, I’m Phuwit Vititayanon, an AI engineer and data scientist who loves turning raw data into real-world products. Over 6+ years I’ve built end-to-end data science solutions in startups—from LLM features and predictive models to the data plumbing that powers them—working directly with executives and cross-functional teams to ship from prompt to production. Recently I’ve driven wins like a Gen AI listing content, feedback intelligence, and propensity modeling, opening a new B2B line for the company. I enjoy hands-on research, mentoring junior teammates, and delivering measurable business impact through practical ML and data-analytics work. I’m excited to bring strong technical skills and a collaborative, results-driven mindset to new challenges.

Phuwit Vititayanon

AI Engineer, Data Scientist, Full Stack Developer, +2

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Hi, I’m Phuwit Vititayanon, an AI engineer and data scientist who loves turning raw data into real-world products. Over 6+ years I’ve built end-to-end data science solutions in startups—from LLM features and predictive models to the data plumbing that powers them—working directly with executives and cross-functional teams to ship from prompt to production. Recently I’ve driven wins like a Gen AI listing content, feedback intelligence, and propensity modeling, opening a new B2B line for the company. I enjoy hands-on research, mentoring junior teammates, and delivering measurable business impact through practical ML and data-analytics work. I’m excited to bring strong technical skills and a collaborative, results-driven mindset to new challenges.…Hi, I’m Phuwit Vititayanon, an AI engineer and data scientist who loves turning raw data into real-world products. Over 6+ years I’ve built end-to-end data science solutions in startups—from LLM features and predictive models to the data plumbing that powers them—working directly with executives and cross-functional teams to ship from prompt to production. Recently I’ve driven wins like a Gen AI listing content, feedback intelligence, and propensity modeling, opening a new B2B line for the company. I enjoy hands-on research, mentoring junior teammates, and delivering measurable business impact through practical ML and data-analytics work. I’m excited to bring strong technical skills and a collaborative, results-driven mindset to new challenges.

Available to hire

Hi, I’m Phuwit Vititayanon, an AI engineer and data scientist who loves turning raw data into real-world products. Over 6+ years I’ve built end-to-end data science solutions in startups—from LLM features and predictive models to the data plumbing that powers them—working directly with executives and cross-functional teams to ship from prompt to production.

Recently I’ve driven wins like a Gen AI listing content, feedback intelligence, and propensity modeling, opening a new B2B line for the company. I enjoy hands-on research, mentoring junior teammates, and delivering measurable business impact through practical ML and data-analytics work. I’m excited to bring strong technical skills and a collaborative, results-driven mindset to new challenges.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Language

Thai

Advanced

English

Fluent

Work Experience

Data Scientist at RentSpree

August 31, 2025 - October 6, 2025

As a senior member of the Data Science team, led critical AI and ML projects while collaborating with cross-functional teams across Thailand and the United States. Key initiatives included a Homebuyer Propensity Model that integrated internal data, external transactional data, and public datasets to forecast homebuyer interest, and the design of end-to-end ML workflows from data ingest to deployment. Also contributed to an AI-powered listing product (LLM-based property descriptions) and a feedback analysis pipeline to provide actionable business insights. Built data products and dashboards to support executive decision-making and cross-functional alignment.

Exchange Program in Software Development Research Student at NAIST

August 31, 2016 - October 6, 2025

Conducted research on defect prediction using deep learning models, utilizing Deep Belief Networks to analyze Git log and JIRA data. Awarded the JASSO Scholarship for outstanding academic and research performance. Gained exposure to cross-cultural academic collaboration and advanced software development techniques.

Data Scientist at Sunday Insurance

July 31, 2022 - October 6, 2025

Led data science initiatives for core insurance business, built in-house data products including a hospital recommendation system for a core app, and implemented a pricing model for motor insurance that reduced losses by 70% and optimized premium calculations. Built predictive models for drug approvals and streamlined operational workflows. Constructed a data warehouse and integrated pipelines from 5+ sources (core insurance platform, sales data, claims data) using AWS tools and Airflow to enable advanced analytics and real-time insights. Collaborated with cross-functional teams to deliver analytics reports and visuals for executives and supported underwriting and investor presentation initiatives.

Data Scientist at Siam Commercial Bank (SCB)

October 31, 2018 - October 6, 2025

Contributed to the initial development of a customer profiling system focusing on unexploited textual data sources. Implemented NLP-based profiling to extract detailed customer profiles from text, improving segmentation and marketing strategies. Proposed a proof-of-concept call center analytics system using NLP and audio-processing techniques to support customer support improvements. Laid groundwork for core functions supporting customer segmentation and personalized marketing strategies.

Data Scientist (Intern, Part-time) at Pantip.com

July 31, 2018 - October 6, 2025

Developed a recommendation system leveraging NLP techniques and predictive models, achieving an NDCG score of 0.731 and significantly improving content discovery and user engagement. Built trend prediction models using SVM with 86% accuracy to forecast trends and enable proactive content strategies. Optimized tokenization by retraining models with social media text, improving processing accuracy by 15%. Collaborated with developers to create a dynamic advertising platform and supported data-driven marketing initiatives.

Founder and Core Member at 100X (Data Community)

March 31, 2020 - October 6, 2025

Founded an innovative data science community to foster knowledge sharing and collaboration among data professionals and enthusiasts. Joined events with Bangkok AI, part of the global City AI network, to provide entrepreneurs with sessions on applying AI in business. Planned and created all event materials, including presentations and communications. Initiated and led projects with corporate partners, such as an IoT-based customer interaction monitoring system for cafés. Conducted career-transition workshops and technical training sessions to help participants build skills and navigate new career paths.

Founder and Core Member at First-year Camp

December 31, 2018 - October 6, 2025

Established an onboarding program for first-year computer engineering students, focusing on Shell scripting, Python, and programming fundamentals. Organized team meetings, oversaw program logistics, and facilitated collaborations with professors, demonstrating strong leadership and coordination skills. Developed teaching materials and organized a two-week camp with over 100 participants annually.

Data Scientist at RentSpree (RentSpree)

August 1, 2025 - October 6, 2025

Led critical AI/ML initiatives across a real estate tech platform, integrating internal and external data sources to build multi-layer predictive models and robust data pipelines. Collaborated with executives and cross-functional teams to align technical work with business goals and ship features from concept to production. Notable work included homebuyer propensity modeling and a feedback intelligence system, and launching a new B2B offering by combining internal data, external transactions, and public datasets.

Data Scientist at Sunday Insurance

July 1, 2022 - October 6, 2025

One of the four pioneer members of the Data Analytics team; built in-house data products and a data warehouse with ETL pipelines (AWS DM S) to support core insurance analytics. Designed a hospital recommendation system for the mobile app, significantly improving customer satisfaction. Developed an ensemble pricing model for motor insurance, reducing loss ratios by 70% and optimizing premium calculations. Built predictive models for drug approvals, reducing manual processes by 76% and streamlining operations. Led exploratory R&D on flow forecasting, biological age estimation, and mobile screen crack detection, demonstrating innovative ML/DL applications in insurance. Collaborated cross-functionally to deliver analytics dashboards and support investor relations.

Data Scientist at Siam Commercial Bank (SCB)

October 1, 2018 - October 6, 2025

Contributed to the initial development of a customer profiling system, focusing on NLP-driven topic extraction (LDA, tokenizers, domain-specific Word2Vec) to construct detailed customer profiles for improved segmentation and marketing strategies. Worked on call center analytics and laid the groundwork for a core function on customer segmentation and personalized marketing.

Data Scientist (Internship, Part-time) at Pantip.com

July 1, 2018 - October 6, 2025

Developed a recommendation system for content discovery using NLP techniques and predictive models, achieving an NDCG of 0.731 and significantly improving user engagement. Built trend prediction models to forecast top topics up to 4 hours in advance and detect trends within 30 minutes of posting. Enhanced content ranking with dynamic keyword expansion and contributed to the early data-driven features for Pantip's web board.