About me

My name is Athispat Phongampai. I graduated with a Bachelor's Degree in Computer Engineering.

While studying in his senior year of university, I had some experience in the Data Science field. I learned online courses involve Big Data through the practice of some tools, such as Hive, Presto, Kafka, and Flink by using Hortonworks Sandbox on Docker to simulate Big Data Environment. I had also taken the IBM Data Science course. This course gave me a lot of knowledge about Data Science, tools, methodologies, databases, analysis and visualization with Python, and Machine Learning. Moreover, I had some experience with the Power BI tool for analysis and visualization to find insight.

Familiarity with data management tools, including Pandas, Numpy, Scikit-learn, Matplotlib, and others. I am experienced with statistical methods such as regression, classification, and clustering using Keras, or PyTorch. Additionally, I worked with JupyterLab on the Amazon Web Services platform (AWS)

Testimonials

  • Nithikorn Lertchanvuth

    Nithikorn Lertchanvuth

    When I participated in the Krungsri bank internship program, Nithikorn served as my mentor. Together, in the role of data scientists, we identified the company's client cluster to be used in marketing strategy.

Nithikorn Lertchanvuth
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Nithikorn Lertchanvuth

When I participated in the Krungsri bank internship program, Nithikorn served as my mentor. Together, in the role of data scientists, we identified the company's client cluster to be used in marketing strategy.

Resume

Education

  1. Bachelor of Computer Engineering

    2018 — 2022

    King Mongkut’s University of Technology Thonburi (KMUTT), Bangkok

    Cumulative GPA: 3.51/4.00

    TOEIC Score: 815

Experience

  1. PERCEPTRA | Research Assistant

    Jan 2023 - May 2023

    • Generating high-quality data annotation by using CVAT, an annotation tool, for medical images, which are used in training the machine learning models.

    • Analyze the models’ results using sensitivity and specificity for evaluation and improve that model.

  2. BANK OF AYUDHYA | Data scientist - Internship

    Jan 2022 - Apr 2022

    • Clustering debit card users based on the behavior observed by transforming the data into an RFM model and feeding it into a K-mean clustering algorithm. The elbow approach is also used to find the optimal amount of clusters.

    • Cleaned and consolidated data over 10 million rows from various tables before being used to explore the insight for solving the business issue.

    • Using the Association Rule technique to find the correlation, offering recommendations to the bank customers who do not currently have debit cards but are likely to do so.

  3. SIAM CEMENT GROUP | IP Management Assistant - Internship

    Jun 2021 - Jul 2021

    • Study and comprehend intellectual property law.

    • The patents of related technologies were examined and comprehended, then summarized to the SCG’s research team.

  4. TRUE CORPORATION | In-house Web Developer - Internship

    Jun 2020 - Jul 2020

    • Collaborate with the team to develop the second phase of the internal web application used in the project pipeline process of employees.

    • Java is utilized heavily in the development process, with HTML, JavaScript, and SQL.

My skills

Python

C

SQL

R

Portfolio