tanakitphamorn Goto Github PK

Tanakit Phamornratanakun Data Scientist

Looking for a Full-time Opportunity || Machine Learning Scientist

McKinney, TX 75010 (469)430-5809 [email protected] LinkedIn: https://www.linkedin.com/in/tanakit-phamorn/

Summary

Determined artificial intelligence engineering and information technology graduate student at the University of North Texas graduating in April 2022. Highly skilled in using data manipulation to solve various real-world problems in addition to experience in machine learning and numerical and statistical skill sets. Seeking an internship for Spring/Summer 2022.

Skills

ML Algorithms

Data Mining

Statistical Modeling

Data Visualize

Python

Predictive Analysis

Web Scraping

Model Development

Data Analytics

Clustering & Classification

Microsoft Azure

Google Cloud Platform

Amazon AWS

TensorFlow

Certifications

Oracle | Database Programming and Administration Workshop
DataCamp | Intermediate Python for Data Science Course
Oracle | Java Programming Workshop

Education

University of North Texas | Denton, Texas Denton, Texas Master of Science Artificial Intelligence Biomedical Engineering Concentration | GPA 3.25 Research Assistance: Biomedical Research and BioMEMS

Relevant coursework: Machine Learning, Artificial Intelligence, Software Development for AI, Digital Image Processing, Big data and Data Science, Feature Engineering, Software for Medical Engineering, Biomedical Instruments, Deep Learning, Medical Imaging

King Mongkut's University of Technology Thonburi Thailand Master of Information Technology Data Science GPA 3.81 Research Paper - Competition: TMDB Predicting Box Office's revenue

Relevant Coursework: System Analysis & Design, Design and Analysis of Algorithms, Database Management System, Database Technology, Artificial Intelligence, Data Mining, Big Data Analytics

Assumption University Bangkok, Thailand BBA Marketing Strategies And Analysis

Member of Student Marketing Committee Received 80th King's Anniversary Scholarship

Work History

June 2019 to December 2019 Bluebik Group Bangkok, Thailand Data Scientist

Created data analytics models with Python, Apache Spark, and SQL to analyze data from top real-estate companies using customer demographic and behavior data to improve sales and return rate of cold-sales calls by 50%. Identified ways to represent and visualize generated data using Tableau Data Visualizer which can lead to better decision making for both management level and operation level. Applied statistical and algebraic techniques to interpret key points from gathered data Built tools to automate processes such as lead generation processes Developed data-gathering and reporting structures from ground up and strategized methods capitalizing on system features

April 2016 to December 2018 SIS Distribution Bangkok, Thailand Sales and Marketing Officer

Negotiated and communicated with multiple innovative product vendors to obtain suitable products for projects with competitive prices and ensure requirements and timeline of projects were adhered to and deadlines were met. Performed competitive analyses and adjusted sales and marketing strategies accordingly.

Accomplishments

Predicted house prices based on weather conditions by using Machine Learning algorithms with multiple datasets. Built image processing model to analyze DICOM (x-ray) files using Python libraries and Convolution Neural Network. Developed a front-end page with Flask and connected it to the Optical Character Recognition Machine Learning model utilizing Azure Cloud Service to recognize and transform the ambiguous images of text into digital format. Summarized Articles by applying Bidirectional Encoder Representations from Transformers (BERT) language model with neural network.

Accomplishments

Predicted house prices based on weather conditions by using Machine Learning algorithms with multiple datasets. Built image processing model to analyze DICOM (x-ray) files using Python libraries and Convolution Neural Network. Developed a front-end page with Flask and connected it to the Optical Character Recognition Machine Learning model utilizing Azure Cloud Service to recognize and transform the ambiguous images of text into digital format. Summarized Articles by applying Bidirectional Encoder Representations from Transformers (BERT) language model with neural network.