Peeranat Prasertpunt

Industrial engineering student

about me

WHO AM I?

Hi, I am Peeranat Prasertpunt. I’m currently a senior student at Chulalongkorn University, Industrial engineering. I have proven my skills in machine learning, data analysis, and data scientist fields from project-based and task responsibility. I most recently worked to conduct an A/B Testing on the team's created content by monitoring and tracking users’ click-through rate. I used a recommendation system and data exploration on user behavior to discover future testing opportunities for better-personalized engagement. And I also worked in developing a machine learning model (e.g., LSTM and Graph CNN) to predict demand on newly deployed car-sharing stations.

SKILLS

PROFICIENCY

programming
Python
: Proficient
pandas
: Proficient
NumPy
: Intermediate
Analytics
SQL
: Proficient
Excel
: Proficient
Power BI
: Intermediate
Machine learning
TensorFlow
: Elementary
Keras
: Intermediate
LSTM
: Intermediate
Graph CNN
: Elementary

Website Development
HTML/CSS/JavaScript
: Elementary
PHP
: Elementary
FLASK
: Elementary
Website Scraping
BeautifulSoup
: Elementary
Selenium
: Elementary

EDUCATION

EDUCATION

Bachelor of Engineering
Bachelor of Engineering, Industrial engineering at Chulalongkorn University
● GPAX 2.96

CERTIFICATE

Neural Networks and Convolutional Neural Networks Essential Training
Take a deep dive into neural networks and convolutional neural networks, two key concepts in the area of machine learning. Looks at convolutional neural networks, and hands-on with image recognition with MNIST dataset.
source: LinkedIn
Intro to Machine Learning
Take a introduction with machine learning. Looks at vary machine learning modules, and hands-on with basic data exploration, model validation, overfitting and underfitting, and Random Forest
source: Kaggle Click to see credential
Codility Golden Award (Spooktober)
I got a Golden award from Codility by Attendance competition on coding skills (Spooktober) Click to see credential
Codility Silver Award (National Coding Week)
I got a silver award from Codility by Attendance competition on coding skills (National Coding Week) Click to see credential

experience

EXPERIENCE

TMBThanachart Bank (ttb)
(Dec 2021 - Present)

TMBThanachart Bank (ttb)'s mission is to help Thai people achieve better financial well-being.
As a data scientist intern, I have learned the recommendation system's algorithm, classified customer segments by business objectives, and worked with content creators to engage customers with personalized tips and personalized reminders for financial well-being. I also have handled Big Data (e.g. Hadoop, Hive, and Impala), SQL with relational databases, and Flask

Haup Car
(Jun 2021 - Nov 2021)

HAUP is the first mobility sharing platform company in Thailand.
As a data analyst intern, I interpret datasets and seek ways to accelerate the amount of demand by using machine learning, Graph convolution neural network, Long short-term memory, Python, and Power BI.

Slum Club
(Dec 2018 - Feb 2021)

Slum club is volunteer club which focuses on teaching about 100 students by using growth mindset
I joined this club as an attendant to teach students, who are far away from city towns and lack teachers and educational tool shortages. I taught them a growth mindset by doing activities, encourage and inspire them with a can-do attitude.

my work

RECENT WORK

SIR model

I established a model for forecasting new confirmed covid-19 cases in Thailand by public data, of which has the highest accuracy is 93.134 %. I chose this model instead of using the SEIR model or other models, which related to vaccinated cases because the population in Thailand was vaccinated only 15.5% (10/08/2021), thereby I considered the vaccinated cases as susceptible because the vaccine can't stop the pandemic. That's why we consider as the only a 3-state deterministic model (SIR model)

Web Portfolio (This website)

I created a Website that is built by HTML/CSS/JavaScript from scrap to gather all my portfolio in one place and get hosted on GitHub page.

Loan approval prediction

Loan approval prediction from a machine learning, which datasets are from Analytics Vidya.

Demand prediction with new deploy station

I established a model for demand forecasting the demand in new stations that are newly deployed. I deal with demand prediction and geospatial by using machine learning e.g., Long short-term memory and Graph convolution neural network.

Web scraping for practicing

I experienced in web scraping by using BeautifulSoup and Selenium to extract data from advance website which can't be directly use BeautifulSoup to extract data

Building a Customer Relationship Management (CRM)

I had handled developing a CRM with Google Sheets and stripe API by using retool. The CRM can fetch data from Google Sheets API, add data to Google Sheets, edit data, process refunds by using the Stripe API

get in touch

CONTACT

Feel free to reach out to me via any of the social media outlets below


arjzxc.p@gmail.com
(TH) (+66)80-453-0444
Bangkok City, Thailand