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Saran Pannasuriyaporn

Hi, I'm Run and I'm a data scientist and computer vision. I have developed and launched several machine learning and NLP products, including an AI cardiologist, a deep learning framework, and a job recommendation tool. I have gained experience in various industries, including in the medical, education, and insurance sectors, and recently graduated with first honors. I am now ready for full-time work and welcome the opportunity to work with you. Please feel free to contact me and check out my portfolio and previous projects to learn more about my skills and experience. I also run a YouTube channel and Facebook page where I share my learning journey and tips for data scientists and software engineers.

Contact me : runpan4work@gmail.com

Portfolio

Last updated 25 Dec 2022

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Dipple
Deep but simple to build

a Python package that simplifies the process of constructing neural network architectures. It is especially useful for beginner data scientists who want to create logistic, shallow, or deep L-layer neural networks with just a few lines of code. The author of Dipple developed the entire neural network architecture from the ground up using NumPy, a linear algebra library.

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Hobot Cardiologist
Chat with Cardiologist via WebApp

Hobot is a cardiologist trained to detect early signs of heart failure in people with a history of heart failure and left ventricular systolic dysfunction. Hobot uses a Random Forest Classifier with 89 trees and 12 features (eg. CPK enzyme) to predict the probability of heart failure. The web application featuring Hobot includes a museum section displaying the training dataset and providing educational insights through statistical analysis.

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Commuji
6 Emoji Suggestion for English text

Need help finding the perfect emoji for your English text? Try COMMUJI, Our tool uses advanced NLP technology, specifically BERT-base-uncased, to suggest the most appropriate emojis with a weighted F1 score of 0.9247. Say goodbye to confusing your friends or colleagues with the wrong emoji.


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Education

Last updated 25 Dec 2022

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B.Sc Industrial Mathematics & Data Science program (2019-2023)
GPAX : 3.94

Highlighted Courses : Statistical Data Analysis, Database Management, Operations Research, Simulation Modelling, Calculus of Several Variables, Advanced Calculus, Operations Research, Numerical Analysis, Data Structure in Mathematics, Linear Algebra, Supply Chain Modelling & Optimization, Machine Learning, Big Data Analytics, Statistical Modelling, Stochastic Processes & Applications, Experimental Design Analysis, Data Mining, Mathematics For AI, Mathematical Statistics, Intro to Mathematical Software (MATLAB), Network Optimization

View my student transcript

Experiences

Last updated 25 Dec 2022

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Natural Language Engineer
Freelance : Aug 2022 - Present

As a main leader in the development of a natural language processing (NLP) model for fraud detection in the insurance industry, my work involves using advanced natural language processing techniques to identify fraudulent interactions between agents and customers. My works also involves interacting with API servers to ensure that the model is integrated into the broader system and can be accessed as needed

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Data Analyst
Part-time : Mar 2022 - Present

As a data analyst at TDA, my work involves an automation system that transforms raw data into clear and concise data analysis reports and dashboards. I carefully select the most relevant and crucial plots to present to our audiences. This system saves time and resources while producing high-quality results.


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Data Scientist / AI Engineer
Intern : Jun 2021 - Sep 2022

As a Data Science Intern, I lead discussions on the use of natural language processing (NLP) models for sepsis detection and predicting pain levels in cancer patients. I analyze the performance of traditional and machine learning approaches and recommend which model to implement in the future. I also extract data from doctor prescriptions using regular expressions and turn it into usable features for NLP tasks.

Awards & Honor

Last updated 25 Dec 2022

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Won the Popular vote of TMLCC
Issued by TMLCC · Oct 2021

I participated in a competition with the Wanchem team and we were awarded the popular vote prize. Our project involved using machine learning techniques, such as encoding the names of molecules into 2D matrices and using a convolutional neural network (CNN), to predict the gas adsorption ability of metal-organic frameworks (MOFs). Our model had a mean absolute error loss of 1.245, which placed us at rank 26 out of 250 teams.

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Received 3-year CP Scholarship
Issued by เครือเจริญโภคภัณฑ์ (CP) · Jun 2020

Launch Online Activities to optimizing productivity by applying Physical Therapy Knowledge, held on Kanjanapisek Witthayalai Nakornphathom School.





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Certificate

Last updated 25 Dec 2022

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Kaggle - Computer Vision
Issued May 2021

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Kaggle - Feature Engineering
Issued May 2021

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Kaggle - Intro to Deep Learning
Issued Apr 2021