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Wichuda Nounngam

Bangkok , Thailand

Phone: xxx-xxx-xxxx

Email: xxx@xxxx.xxx



  • Looking For: data analyst, data scientist

  • Occupation: Business and Finance

  • Degree: Bachelor's Degree

  • Career Level: Entry Level

  • Languages: English, Thai

Career Information:

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Highlights:

Skills:Python, SQL, R, Statistic, Data visualization, Microsoft Excel, Data Analysis


Experiences:

Data scientist (intern) 06/2022 - 08/2022
AIS, Bangkok, Thailand
Industry: Finance
I was an intern at AIS company which is a leading provider of innovative technology solutions for businesses in Thailand for 3 months. During the internship, I did my work at the department and also did a start-up project at the same time. My work project is about separating a class of customers to decide the customers, have a good Credit score for a loan or not without requiring a statement from the bank.
The skill and how I work - Analyzed information, statistics, and computer science to derive insights from massive datasets in order to assess an applicant's or investment's potential risk using creativity, SQL, Python data visualization and communication skills. - Determined the criteria for the company's loan decisions without the need for a bank statement and prioritized customers by level to make it less challenging to decide whether this customer should be given a loan or not in a mega project to survey the behavior of more than 40 million customers.--

Education:

Mahidol Uniersity 05/2019 - 05/2023
Bangkok, , Thailand
Degree: Bachelor's Degree
Major:Indrustrial Mathematic and Data science
Minor:Data analysis Logistic
I am a fresh graduate who is looking for an opportunity to gain excellent experience in my career. I am passionate about data and data analysis for solving problems to drive business and beyond. My expertise is Learning new things quickly, solving problems, communicating, creativity, and being patient until you get the perfect job. Additionally, things I've experienced in the classroom over the past 3 years are data visualization, Python, Pyspark, Machine Learning, Deep Machine Learning, statistics, data mining, and beyond.


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