Data Analytics Machine Learning

adz6f3@r.postjobfree.com

TRAN +848*-***-****

MINH NHAN

WORK EXPERIENCE

Accounting Associate 09/2018 – 08/2019

First Trust ACPA Viet Nam

Worked as Bookkeeper which helped to familiarize with Accounting basic knowledge.

CHARACTERISTICS

Curious ( always ask questions to

myself or others about why, how, …)

Creative ( tend to find new

approach to problems while

respecting other’s approaches )

Able to work well as an individual

or in a team of different

personalities

Possess quite critical and logical

thinking and always try to

improve this aspect

Have particular interest in solving

problems especially economically

and mathematically

1 Tang Nhon Phu, HCM city

EDUCATION

GPA ( 8.5/10 ) 08/2011 – 05/2014

Minh Khai High School

Auditing Major ( GPA 7.52/10 ) 08/2014 – 07/2018

National Economics University

Audit Assistant 09/2019 – 09/2020

Ernst & Young

Had chance to work with lots of financial data which includes processing, analyzing data to find unusual trends/transactions using Excel.

Gained general insights on numbers of industry such as bike manufacturing, forestation…

Internal Auditor 10/2020 – 08/2023

Honda Viet Nam

Participated in a Data Analytics Project in Procurement to Payment process with role of contributing to logic and testing the result Usually used VBA/macros in combination with business knowledge during Audit fieldwork in many creative ways to boost result or speed up manual process:

Part Time 11/2022 – Present

Fiverr

Gig constantly appeared on the 1st page when being searched for Excel and Macros

Created automation in Excel, Microsoft word, Power point or Google Sheet

Gave a good use of data structure to process large data in Excel Created a simple tool to group bus trips on some constraint (route, delay time) using BFS (Breadth first search)

SKILLS AND INTERESTS

Languages: Vietnamese (native),

English (conversational level)

Microsoft Office (Excel, VBA:

advanced level)

Java, Python, SQL (basic level

mostly familiar with libraries

involving data)

Machine Learning (beginner

level): understand basic concept

of some models: Linear

regression, Logistic regression,

Neural networks, K-neighbor,

Random Forest, Extreme gradient

boosting.

Playing sports (being part of a

soccer team)

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