Yu-Chia Chang

AI Engineer, Data Scientist | Data Analysis & Computer Vision.

Currently focusing on developing AI solutions in computer vision and data analysis, I love learning and implementing ideas into codes and applications. I have experience in: 

  1. Building ML/DL models and fine-tuning using Pytorch and Tensorflow.
  2. Developing software with Python, C/C++ and SQL.
  3. Analyzing data from exploratory data analysis and data mining.
  4. Research into state-of-the-art tech and initiating new solutions .
  5. Professional English communication, fluent speaking and team work.
  6. Excellent capacity to retain new things and side projects. 

  [email protected] |   Linkedin |   CV |   github |   Taiwan

Skills

Programming Language


  • Python
  • C/C++
  • Other: PHP, HTML, SQL

Deep Learning


  • Data Analysis, Mining
  • Object Detection, Tracking

Third-party Kit


  • Pytorch
  • Tensorflow
  • Other: Keras, Sci-kit, OpenCV

Data Computing


  • Hadoop
  • Spark
  • Other: Docker

Optimization Algorithm


  • Genetic Algorithm
  • Ant Colony Algorithm
  • Particle Swarm Optimization

Language


  • English: TOEIC 890
    (Fluent in oral and writing)
  • Japanese medium

Education

National Chung Hsing University

Master's degree | Computer Science and Engineering

Sep. 2018 - Sep. 2020

Apr. 2019 - Mar. 2020

Industry-academia Cooperation with

SUNLIT Transportation CO., LTD. 

  1. Developed an AI system based on computer vision for detecting whether truckers are doing dangerous behavior by applying proposed methods in deep learning and computer vision.
  2. Trained YOLOv3 and LSTM tackling with spatio-temporal data and combined it with AdaBoost (Ensemble Learning).
  3. Improved the accuracy of detecting misconduct from 78.65% using yolov3 to 95.47 using the proposed method.
  4. Saved about 1/200 times for detecting dangerous behavior by this system compared to being operated by humans.


National Taichung University of Education

Bachelor's degree | Computer Science and Engineering

Sep. 2014 - Jun. 2018

Jun. 2017 - Sep. 2017

Internship Software Engineer at PRO WAVE CO., LTD.

  1. Developed a system by OpenCV using C++ to read video data from cameras on the street and highway to determine traffic jams and find available parking slots on streets and managing cameras by building the dashboard of Zoneminder.
  2. Discussed the solution with our team and learned image processing  independently.

Honors & Awards

BEST PAPER AWARD

ACM The 9th International Conference on Web Intelligence, Mining and Semantics


Jun. 2019

Best Paper Award

Scientific Paper Competition of College of Science at National Chung Hsing University

Dec. 2019

Best Research Award

Student boot camp of innovation technology at APPLIED MATERIAL, Inc.

Jun. 2013

Student Ambassador from Taiwan

University of Pennsylvania, PA, USA & Alex's Lemonade Stand Foundation

Aug. 2012

Projects

Kaggle M5 Forecasting Analysis & Prediction

keywords: EDA, Time Series Forecasting, Machine Learning

  1. Executed data cleaning, exploratory data analysis based on different products and observation of relationships between columns.
  2. Executed feature extraction by referencing different rolling windows and finding the essential features.
  3. Build a sales prediction LightGBM models for 30 consecutive days and adjustment on hyper-parameters.

Apr. 2021 - present, Side Project

Analysis of searching for "NAIL HOUSE" from House Prices Data in Taichung, Taiwan

keywords: Data Mining, Data Analysis, Machine Learning, XGBoost

  1. Conducted data cleaning to (1) exclude outliers (2) complete missing data (3) merge equivalent columns.
  2. Implemented machine learning methods (Random Forest and XGBoost) to predict the expected price of each house.
  3. Analyze the results of the prediction to find "NAIL HOUSE".

Sep. 2018 - Jan. 2019, Side Project

Analysis of Comprehending Amazon Co-purchasing Strategy by Social Network Properties

keywords: Social Network, Data Mining, Data Analysis, Machine Learning

  1. Analyzed data of "Amazon product co-purchasing network metadata" from Stanford Network Analysis Project (SNAP) by calculating (1) average degree (2) average clustering coefficient (3) diameter. 
  2. Organized the statistics that there are only 2.7 products on average exposed to customers at the same time and only 0.39 possibilities of products are connected.
  3. Interpreted results based on the analysis that Amazon can add more strategies (e.g. multiple tagging) to products to control the exposure of co-purchased products. 

Apr. 2019 - Jul. 2019, Side Project

Word Cloud Visualization and Crowd Mining of Politicians in Taiwan

keywords: Crowd Mining, Web Crawler, Feature Extraction, Data Analysis

  1. Developed web crawler to fetch data at the PTT forum in Taiwan and organize crawed data by word segmentation tool "Jieba" in python.
  2. Extracted essential statistics of Term Frequency-Inverse Document Frequency (TF-IDF) to represent the occurring frequency associated with certain politicians in Taiwan.
  3. Analyzed crowd opinion on specific politicians in different forums by visualizing keywords in the word cloud. 

Apr. 2019 - Jul. 2019, Side Project

Implementation of Object-based Video Synopsis Surveillance Application

keywords: Object Detection, Tracking, Video Summarization, Surveillance

  1. Implement an object-based generator to summarize videos and reduce the size of videos for surveillance.
  2. Integrate DeepSORT and YOLOv4 for multi-object tracking, and concatenate all objects which are preprocessed with background subtraction.

Apr. 2021 - May. 2021, Side Project

An Effective Smart Grid Management System based on Deep Learning and Metaheuristic Algorithm

keywords: Deep Learning, Smart Grid, Metaheuristic Algorithm

  1. Conducted research on Smart Grid and formulated loss of all parameters in Smart Grid.
  2. Developed a management system by combining deep learning and metaheuristic algorithms to predict and analyze statistics collected from smart grid components. 

Sep 2019 - Sep 2020, Project of the Ministry of Science and Technology in Taiwan

Implementation of K-means Clustering on Boston Housing data using standalone Hadoop

keywords: Hadoop, Clustering Algorithm

  1. Conducted MapReduce operation on k-means algorithm.
  2. Analyzed clustering result of Boston Housing data (a public dataset from Kaggle).

Jan. 2020 - Apr. 2020, Side Project

Implementation of On-sale Search from SNS by Web Crawler on LineBot

keywords: LineBot, Web Crawler

  1. Developed web crawler in python to fetch information about on-sale products from PTT and Facebook.
  2. Implemented a Line Bot to automatically post messages to Line according to users' input.

Apr. 2019 - Jul. 2019, Side Project

Full stack development at National Taichung University of Education

keywords: HTML, PHP, Vue.js, MongoDB

  1. Developed website and database for the Computer Center of college and Center of Teaching Development using HTML, CSS, PHP, MySQL at National Taichung University of Education.
  2. Cooperated with students from the department of art to design UI/UX.
  3. Self-learned Vue.js and MongoDB.

Sep. 2017 - Jun. 2018, Side Project

Global Participation

International Video Conference Education Team in Taiwan

  1. Launched 200+ discussions via video conference with international students and organizations.
  2. English presentation and different discussion topics, including culture exchange, summit discussion, model UN, mock trial, etc.
  3. Headed several teams where members consist of students from different countries to prepare for panel discussion.
  4. Broadened global vision by participating in projects such as the robot contest, Rainforest conservation, UNCCC summit.

Jun 2011 - present

Student ambassador at Leadership Academy at University of Pennsylvania

  1. Representative of Taiwan to participate in the campaign.
  2. Created & brainstormed different ideas to help childhood cancer and enlarge the charity funds.
  3. Coordinated with foreign students to finish projects during the academy.

Aug. 2012 - Sep. 2012

International Conference Attendance Experience

  1. Oral Presentation: ACM The 9th International Conference on Web Intelligence, Mining and Semantics, Seoul, South Korea, Jun. 2019.
  2. Master of Ceremony: International Conference on Intelligent Computing and Its Emerging Applications, Tainan, Taiwan, Sep. 2019 

Jun. 2019 - Sep. 2019

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