Tanakit Phamornratanakun Data Scientist
Looking for a Full-time Opportunity || Machine Learning Scientist
McKinney, TX 75010 (469)430-5809 Tanakit.phamorn@gmail.com 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.