Tang Maoxin

Over the past two years, I have accumulated extensive experience as a data analyst, honing my skills through self-study of tools such as Azure, 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:

• Led the development of comprehensive product plans, overseeing every aspect from introduction to implementation details.
• Identified opportunities to enhance operational processes and optimize resource utilization.
• Implemented innovative solutions to simplify complex tasks, significantly reducing workload and time spent on monthly reporting tasks for wealth management products.
• Leveraged self-taught skills in Azure, Tableau, and Alteryx to develop one-click operational procedures, transforming previously labor-intensive tasks into streamlined operations completed in just 30 minutes.

Cross-Departmental Collaboration:

• Acted as a 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.

A senior AI Engineer with more than 2 years of experience in AI application development, contributing to the success and growth of a dynamic 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.

Product Development and Planning:

• Actively participated in product development initiatives, contributing to the drafting and revision of comprehensive product plans.
• Played a pivotal role in defining product introduction strategies, operational processes, and implementation details to ensure seamless execution.

Algorithm Research and Development:

• Led algorithm research and development efforts across diverse projects, focusing on intelligent unmanned driving, vehicle and license plate detection, and facial recognition.
• Implemented advanced algorithms and methodologies to enhance project performance and deliver innovative solutions to meet client requirements.

Server System Operations:

• Managed server system operations and maintenance for various projects, ensuring optimal performance and reliability.
• Spearheaded the 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 the 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 the accuracy of the YOLOv3 model for vehicle recognition from approximately 70% to nearly 100%.
• Earned customer trust and secured continuous investment by demonstrating significant improvements in model performance and reliability.

Research and Development:

• Actively participated in the 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.

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 the 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 the comprehension and utilization of insights by the team.
• Presented findings through visually compelling dashboards and reports, enhancing the 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 the 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.