SUMMARY

Results-driven Data Scientist with a Ph.D. in Economics and extensive experience in AI, machine learning, and data analysis. Proficient in Python, with a strong background in statistical modeling and big data technologies. Proven ability to lead complex data science projects and deliver innovative solutions that drive business outcomes.

RELEVANT EXPERIENCE

KaggleX Fellowship: LLM Fine-tuning, PyTorch, Keras; Remote; Sep 2024 – Dec 2024

Developed an AI chatbot for financial risk compliance by fine-tuning large language models (Gemma-2b-en and Gemma-7b) using advanced techniques (LoRA, QLoRA) on GPU and TPU.
Achieved an accuracy rate of 78.6% with the model, demonstrating expertise in machine learning and model optimization.
Conducted extensive testing on model parameters, enhancing understanding of machine learning performance metrics.

AI Projects: AutoML, LLM, NLP; Canada; May 2024 – July 2024

Ranked in the Top 1% (15th out of 1,847) in the 2024 KaggleX Skill Assessment Challenge, showcasing exceptional data science skills.
Successfully combined AutoML frameworks (AutoGluon, LightAutoML) to predict used car prices, demonstrating proficiency in automated machine learning techniques.
Executed comprehensive topic modeling on 3,000+ multiple-choice questions using BERTopic, providing insights into educational content trends.

3auk.com, LiuXueWangXiao.com: Founder; China; Jun 2021 – Aug 2023

Founded and led an online learning platform, enhancing user experience through data-driven design and interactive features.
Spearheaded the development of educational tools, fostering engagement and improving learning outcomes.

Educational Applications: Programmer; JS, Unity(C#); China; Jun 2019 – Aug 2021

Designed and implemented a Virtual Reality Classroom, integrating immersive technology to enhance educational experiences.
Developed cloud-based applications that personalized learning and improved efficiency, showcasing strong programming and analytical skills.

Web Scraping and Data Collection: Programmer; China; Jan 2020 - Feb 2020

Utilized Python (Scrapy) and MongoDB for data collection and transformation, demonstrating expertise in data engineering and management.

TECHNICAL SKILLS

Programming Languages: Python, PySpark, R, SQL, SAS, LATEX, JavaScript
Data Analytics / AI Tools: AutoML (AutoGluon, LightAutoML, MLJAR), PyTorch, Keras, LoRA, QLoRA
Big Data Technologies: Azure Cloud, MS Power BI

EDUCATION

Graduate Certificate in Artificial Intelligence, Georgian College, Canada - Dec 2024 (expected)
Graduate Certificate in Marketing Analytics, Centennial College, Canada - May 2024
Ph.D. in Economics, University of Pittsburgh, United States - 2015
B.A. with Honorary M.A. in Economics, University of Edinburgh, Scotland - Jun 2006

PROFESSIONAL CERTIFICATIONS & TRAINING

Shijun Ju’s resume