Summary
Overview
Work History
Education
Skills
Self Evaluation
Personal Hobbies
Timeline
Generic

Junhao(Morgan) Wu

Auckland,AUK

Summary

My future career plan is to pursue the data analysis or data related work in financial, technology or consulting industry. (No limit to workplace)

Overview

4
4
years of professional experience

Work History

Data Scientist

University Of Auckland ICT Graduate School
11.2023 - 02.2024
  • Prepared for professional roles by understanding New Zealand's corporate culture
  • Developed a deep learning model to optimize and predict future air quality, integrating this model with backend systems to create an interactive web page
  • Acquired additional data visualization skills through the creation of a dashboard using Power BI.


Management Trainee

Shanghai Kai Yuan Securities
12.2021 - 01.2022

I'm working in the Investment Banking/Fixed income department

  • Participated in government bond business training
  • Assist team to prepare project materials of local government bond issuance plan

Bussines Analyst

New Image Group(New Image Travel And Lifestyle)
11.2020 - 02.2021
  • Successfully completed market products analysis for New Image.
  • As an operations assistant, I mainly complete the entire process of direct mail including receiving orders, packaging and arranging logistics.

Operator

Higo New Zealand
07.2020 - 08.2020
  • As a health products retail store's operator, I mainly complete the entire process of direct mail including receiving orders, packaging and arranging logistics.

Data Science Trainee

Shanghai Dingshu IT Company
11.2019 - 12.2019
  • Assisted the team in retail customer data analysis.
  • Basic proficiency in SAS programming.
  • Developed bank users' profiling models to predict the category of incoming calls and the intention of investment product.

Education

Master of Information Technology -

University of Auckland
02.2024

Bachelor of Data Science -

University of Auckland
06.2022

Skills

1 Solid data organisation, algorithm skills and mathematical statistics knowledge

2 Capable of using Python, R language, SQL, SPSS, Spark, tableau, SAS and Power BI for data analysis, mining and visualization

3 Adept using Microsoft Excel for data processing

4 Understanding and cognition of the financial market (especially the fixed-income market)

Self Evaluation

  • Calm, rigorous, looking to details, resilience and high efficiency in learning new skills.
  • Good team worker and communicator, highly evaluated by team members and stakeholders.

Personal Hobbies

  • Swimming
  • Badminton
  • Music
  • Reading
  • Focus on financial affairs

Timeline

Data Scientist

University Of Auckland ICT Graduate School
11.2023 - 02.2024

Management Trainee

Shanghai Kai Yuan Securities
12.2021 - 01.2022

Bussines Analyst

New Image Group(New Image Travel And Lifestyle)
11.2020 - 02.2021

Operator

Higo New Zealand
07.2020 - 08.2020

Data Science Trainee

Shanghai Dingshu IT Company
11.2019 - 12.2019

Master of Information Technology -

University of Auckland

Bachelor of Data Science -

University of Auckland
Junhao(Morgan) Wu