SHIJUN JU
๐ง jushijun@gmail.com | ๐ 647-649-8130 | ๐ North York, ON
๐ shijunju.com | medium.com/@jushijun | github.com/shj37 | linkedin.com/in/shijunju
SUMMARY
Innovative Data Scientist and Educational Technology Specialist with a passion for transforming learning through AI and data-driven solutions. Proficient in Python and advanced AI technologies, including Retrieval-Augmented Generation and machine learning, to create personalized, engaging, and efficient educational tools. Experienced in developing interactive platforms and analytics pipelines that enhance curriculum delivery and support student success. Skilled in leveraging cloud platforms (AWS, Azure, GCP) to deploy scalable educational solutions, with a proven track record in managing projects that empower educators and learners.
Downloadable Resume
RELEVANT EXPERIENCE AND PROJECTS
Educational Technology Projects
Course-Specific AI Study Assistant
Python, RAG with Pinecone, AWS, GitHub CI/CD, Docker
Medium Article | GitHub
-- Developed an AI-powered study assistant to provide personalized learning support, reducing student search and review time
-- Utilized Retrieval-Augmented Generation (RAG) for accurate, contextually relevant responses
-- Deployed on AWS with CI/CD pipelines for scalability and reliability
Automated AI Video Generation for Learning
Python, Google TTS, OpenAI Whisper, Moviepy
YouTube Video
-- Created AI-generated educational videos with multilingual subtitles to enhance accessibility and learning efficiency
Interactive Virtual Reality Classroom
Unity 3D, C#
-- Designed an interactive VR classroom environment to foster engaging and self-paced learning experiences
Educational Website Development
WordPress, D3.js
LiuXueWangXiao.com (Chinese) | 3auk.com (English)
-- Founded and developed multiple online learning platforms offering comprehensive A-level courses with interactive multimedia content and tools
Study Apps and Tools
D3.js, React.js, interact.js
-- Built interactive applications for exam preparation, essay writing, and concept mapping to improve student engagement and performance
Educational WeChat MiniApp
JavaScript
-- Developed a multifunctional educational app with study notes and quizzes for on-the-go learning
Selected Data Analytics and AI Projects
Power BI Analysis of Forex Volatility
Power BI, DAX
Power BI Report
-- Demonstrated data visualization and analysis skills through an interactive dashboard on financial data
MLOps Automation: CI/CD Pipeline
Jenkins, Docker, AWS ECS
Medium Article | GitHub
-- Implemented an end-to-end MLOps pipeline for deploying machine learning models, showcasing automation and cloud deployment skills
TECHNICAL SKILLS
Programming Languages: Python, R, SQL, SAS, LaTeX, JavaScript
Data Analytics / AI Tools: Power BI with DAX, Looker Studio, AutoML (AutoGluon, LightAutoML, MLJAR), PyTorch, TensorFlow, Keras, LoRA, QLoRA, RAG (LlamaIndex, LangChain, CrewAI, Pinecone), BERTopic, OpenCV, Google TTS, OpenAI Whisper, Moviepy
MLOps / LLMOps: Kubernetes, Kubeflow, Jenkins, AWS ECS, Docker, MLflow, Git Actions
Big Data / Cloud Technologies:
- Azure: AI Services, Data Factory, Data Lake, Databricks, Synapse Analytics, OpenAI, Power BI
- AWS: EC2, ECR, Glue, Redshift, EMR, Lambda, IAM
- GCP: BigQuery
- Other Tools: Spark, PySpark, Flink, dbt, Elasticsearch
Web Development Tools: WordPress, D3.js, React.js, interact.js
EDUCATION
Ph.D. in Economics, University of Pittsburgh, United States โ Nov 2015
B.A. with Honorary M.A. in Economics, University of Edinburgh, Scotland โ Jun 2006
PROFESSIONAL CERTIFICATIONS & TRAINING
Graduate Certificate in Artificial Intelligence, Georgian College, Canada โ Dec 2024
Graduate Certificate in Marketing Analytics, Centennial College, Canada โ May 2024
Passed all three levels of Chartered Financial Analyst (CFA) exams
LANGUAGES
English (fluent), Mandarin Chinese (native)
HOBBIES & INTERESTS
- Exploring and applying new technologies, focusing on educational tech and AI
- Teaching / Tutoring: A-level subjects (Economics, Maths, Physics, Accounting), college-level programming
- Watching critically acclaimed dramas (Mad Men, The Wire, โฆ)