Summary
Overview
Work History
Education
Skills
Timeline
Generic
Tang Maoxin

Tang Maoxin

Data Technical Solutions Engineer
Tokyo,13

Summary

As a Senior Data Scientist and AI Engineer with five years of experience, have played a pivotal role in driving product development and enhancing operational efficiency within organization. Responsibilities have encompassed a wide array of tasks, from drafting and revising product plans to spearheading initiatives that streamline processes and maximize productivity.

Overview

5
5
years of professional experience
6
6
years of post-secondary education

Work History

Business and Forensic Accounting Data Scientist

PwC
4 2022 - Current

Over the past three years, I have accumulated extensive experience as a data analyst, honing my skills through tools such as Python, SQL, Azure, Machine Learning, Deep Learning, Tableau, and Alteryx. My journey has been marked by significant achievements, including streamlining monthly financial product reporting tasks, coordinating interdepartmental communication, contributing to energy price forecasting systems, and designing solutions to complex challenges.

Product Development and Operational Efficiency:

  • In the past 3 years, I have served in a data analysis position. Through tools like Python, SQL, Machine Learning, Deep Learning, Azure, Tableau, and Alteryx, I successfully streamlined the monthly financial product reporting task that used to take colleagues 1-2 days into a one-click operation, completing it in just 30 minutes. This improvement has increased work efficiency, effectively reduced overtime for colleagues, and enhanced the company's customer trust by 8%, and contract renewal rate by 15%.
  • Additionally, I participated in the development of an energy price forecasting system for Tokyo Electric Power Company, using Python to develop AI models such as BERT, and so on. We successfully predicted gas price trends within a month, providing crucial insights for company decision-making. Furthermore, I self-taught JavaScript and designed solutions to resolve a month-long challenge, successfully assisting a European maritime logistics company in developing a data management system, resulting in a 10% increase in the company's annual turnover.
  • In terms of code testing, maintenance, and regular updates, I ensured software and system compatibility and developed corresponding testing systems to achieve a 100% bug detection rate, thereby ensuring the stable operation of external systems. Through these experiences, I have accumulated rich data analysis experience and have acquired the ability to solve problems, coordinate teams, and improve efficiency.

Cross-departmental collaboration:

  • Acted as key liaison between my department and other relevant units, including finance, corporate finance, personal finance, legal, compliance, and risk control departments.
  • Facilitated timely communication and effectively conveyed critical information, ensuring seamless coordination and alignment of objectives.
  • Coordinated efforts to ensure efficient task completion, resulting in a notable reduction in overtime hours and a 30% decrease in staff turnover.

Technical Expertise and Problem Solving:

  • Expanded my skill set by self-teaching JavaScript, enabling me to design and implement solutions to longstanding issues.
  • Took ownership of code testing, maintenance, and updates, maintaining software integrity and achieving a flawless 0% error rate.
  • Collaborated closely with the quality assurance team to validate the correct implementation of software development changes, ensuring seamless integration and functionality.

Continuous Improvement and Innovation:

  • Proactively identified opportunities for system enhancements to improve functionality and streamline administration processes.
  • Designed and implemented innovative solutions that addressed long-standing challenges, fostering a culture of continuous improvement and innovation within the organization.
  • Streamlined data collection methods to minimize analysis errors.
  • Automated repetitive tasks using scripting languages such as Python or R, saving time during the analytical process significantly.

Cloud Technical Solutions Engineer, AI/ML Engineer

Neural Pocket
12.2019 - 03.2022

A senior AI engineer with more than 2 years of experience in AI application development, contributing to the success and growth of an AI company led by management from McKinsey & Company. Instrumental in driving product development, refining operational processes, and implementing cutting-edge technologies in various projects, resulting in significant achievements and successful market penetration.

Server System Operations:

  • Managed server system operations and maintenance for various projects, ensuring optimal performance and reliability.
  • Spearheaded construction and maintenance of server infrastructure for the Singapore branch, overseeing account settings and authority management for new employees.

System Automation and Efficiency:

  • Implemented and managed system automation configurations, resulting in a significant increase in efficiency of the test group by 200%.
  • Streamlined processes through effective management and debugging, contributing to enhanced productivity and project delivery timelines.

Model Training and Evaluation:

  • Took charge of model training and evaluation processes, notably improving accuracy of YOLOv3 model for vehicle recognition from approximately 70% to nearly 99%.
  • Earned customer trust and secured continuous investment by demonstrating significant improvements in model performance and reliability.

Research and Development:

  • Actively participated in research and development of new technologies, such as road sign identification using OCR Tesseract.
  • Successfully increased accuracy by more than 30%, enabling the company to collaborate with the Ministry of Land, Infrastructure, Transport, and Tourism, thereby opening new avenues for growth and partnership opportunities.
  • Delivered pre-sales technical support for kinds of server and desktop virtualization.
  • Analyzed kinds of server business to identify spending trends, whitespace and growth opportunities, compliance issues and assisted account teams in target account development.

Data analyst

Deloitte
09.2019 - 12.2019

My internship experience provided me with invaluable, hands-on exposure to real-world data analysis challenges and methodologies. By actively participating in projects, such as creating multi-dimensional corporate portraits, I honed my analytical skills and gained a deeper understanding of the importance of data-driven decision-making in driving business outcomes. This experience has solidified my passion for data analysis and equipped me with practical skills that I am eager to apply in future endeavors.

Data Collection and Analysis:

  • Took ownership of collecting and analyzing network traffic logs, ensuring extraction of actionable insights to support decision-making processes.
  • Employed various data processing techniques to clean and organize datasets, facilitating seamless analysis and interpretation.

Visual Data Representation:

  • Utilized visualization tools to convert raw data into visually appealing and informative formats, aiding in comprehension and utilization of insights by the team.
  • Presented findings through visually compelling dashboards and reports, enhancing clarity and impact of data-driven insights.

Multi-Dimensional Corporate Portraits:

  • Played a pivotal role in assisting the team in creating multi-dimensional corporate portraits by integrating data from diverse sources, including network traffic logs and enterprise information databases.
  • Contributed to establishing a comprehensive understanding of enterprises by plotting various indicators and features, facilitating more accurate customer profiles and risk assessments for banking clients.

Enhanced Data Utilization:

  • Streamlined data processing workflows, resulting in improved efficiency and effectiveness in extracting insights from network traffic logs.
  • Enabled team to leverage data-driven insights for informed decision-making and strategy formulation.

Accurate Customer Profiling:

  • Contributed to the creation of more accurate customer profiles for banking clients by integrating data from multiple sources and analyzing various indicators of enterprise performance.
  • Empowered banks to make more informed decisions regarding customer engagement and risk management strategies.
  • Produced monthly reports using advanced Excel spreadsheet functions.
  • Used statistical methods to analyze data and generate useful business reports.

Education

Master of Science - Computer And Information Sciences

University of Tokyo
Tokyo, Japan
05.2017 - 08.2019

Bachelor of Computer Science - Computer And Information Systems Security

University of Electronic Science And Technology
Chendu
05.2012 - 08.2016

Skills

Python (6 years Skilled) , Linux (3 years Skilled) , Shell (3 years Skilled) , Docker (3 years Skilled) , Excel (5 years Skilled) , PowerPoint (7 years Skilled),DeepLearning(6 years skilled), Machine Learning(6 years skilled), Tableau( 2 years skilled), Azure(2 years skilled),Statistical Analysis(6 years Skilled), SQL Databases(3 years Skilled)

Timeline

Cloud Technical Solutions Engineer, AI/ML Engineer

Neural Pocket
12.2019 - 03.2022

Data analyst

Deloitte
09.2019 - 12.2019

Master of Science - Computer And Information Sciences

University of Tokyo
05.2017 - 08.2019

Bachelor of Computer Science - Computer And Information Systems Security

University of Electronic Science And Technology
05.2012 - 08.2016

Business and Forensic Accounting Data Scientist

PwC
4 2022 - Current
Tang MaoxinData Technical Solutions Engineer