Zekai Ma
Beijing
Summary
Meticulous Data Scientist accomplished in compiling, transforming and analyzing complex information through software. Expert in machine learning and large dataset management. Demonstrated success in identifying relationships and building solutions to business problems.
Overview
3
3
years of professional experience
Work History
Algorithm Engineer
CITIC Securities
2023.12 - 2024.02
- Project: Bond Copilot, featuring automatic report writing, research summary generation, bond regulations Q&A, product pricing analysis, issuance structure analysis, investor profiling, market data analysis, and multidimensional data Q&A
- Assisted in using large language model APIs for question classification and slot identification, and designed effective prompt engineering to improve the accuracy and efficiency of multi-round Q&A with large models
- Achievements: Optimized computation time by 30% through multiprocessing, enhancing user experience and response speed.
Researcher
2022.08 - 2022.11
- Project: Parking Lot License Plate Recognition
- Achievements: Achieved 32% license plate recognition rate on project dataset.
Researcher
2022.08 - 2022.11
- Project: User Restaurant Recommendation System
- Achievements: Achieved 31.6% precision and 30% recall on the project test set.
Researcher
University Of Technology
2022.02 - 2022.06
- Project: Optimized insurance claim review process using computer vision to reduce labor costs. Users submit scratch photos via mobile for initial claim review using instance segmentation to detect car scratches.
- Dataset: Crawled 2000 car scratch images from Google, cleaned to 200+ images, and manual labeled using Labelme.
Model: Utilized Yolact instance segmentation algorithm with ResNet as backbone feature extraction network. - Achievements: Won third place in 2022 UTS AI Showcase.
Test Engineer
Guangdong Dongtian Digital Technology Co., Ltd.
2020.09 - 2020.11
- Project: Digital Campus Platform for teaching management, serving elementary and secondary schools with an online education platform
- Responsibilities: Conducted functional testing based on test documents for different project modules, submitted defect reports, and communicated actively with developers to improve project delivery quality
- Achievements: Submitted an average of 16 defect reports daily, resolving 96% of issues through coordinated efforts.
Education
Master of Information Technology - Data Analytics
University of Sydney
Sydney, NSW09.2024
Bachelor of Science in Information Technology - Data Analytics
University of Technology Sydney
Sydney, NSW02.2023
Skills
- Python Programming
- Clustering Algorithms
- Support Vector Machines
- Neural Networks
- Machine Learning/Deep Learning
Self Evaluation
Capable of creating datasets, training, and validating models; strong programming and data analysis skills, excellent logical thinking, communication, and coordination abilities, capable of independent thinking and innovation., Proficient in Python programming language, familiar with Java and C#; skilled with Python packages such as Pandas, OpenCV; proficient with the Pytorch deep learning framework, familiar with TensorFlow; knowledgeable in Django backend framework., Fluent in both Chinese and English, proficient in reading and writing documentation in both languages.
Languages
English
Full Professional
Chinese (Mandarin)
Native or Bilingual
Age
24
Timeline
Algorithm Engineer
CITIC Securities
2023.12 - 2024.02
Researcher
2022.08 - 2022.11
Researcher
2022.08 - 2022.11
Researcher
University Of Technology
2022.02 - 2022.06
Test Engineer
Guangdong Dongtian Digital Technology Co., Ltd.
2020.09 - 2020.11
Master of Information Technology - Data Analytics
University of Sydney
Bachelor of Science in Information Technology - Data Analytics
University of Technology Sydney
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