QINGYUAN XUE

902-***-**** adxpk2@r.postjobfree.com LinkedIn Halifax, Nova Scotia

Summary of Qualifications

Adaptability: a quicker learner powered by extensive research skills. Working independently with satisfying quality while making considerable contributions to the team project.

Diligence: a mindset in responsibility reflecting on challenges during work, having can-do attitudes and paying attention to details.

Communication & Collaboration: a natural facilitator who contributes significantly to group-collaborations and remains focused on the progress towards objectives & goals.

Creativity & Problem Solving: utilizing research skills to think outside the box and discover new solutions.

Heightened Project Experience: developing end-to-end data science project from ETL to data modelling, Data Science Capstone Project on Medical Vision-Question-Answering’s applications by knowledge transformers.

Academic achievement: Overall distinction from Master of Finance degree, overall GAP of 71% from Master of Data science.

Honours: Vice Chancellor’s International Scholarship from University of Sydney.

Professional development: IBM data engineering certificate, Microsoft Azur fundamentals AZ-900 test.,IBM data analytics certificate.(expected by July 2022)

TECHNICAL SKILLS

Languages: Python, SQL, MATLAB, R, and Data Visualization

Platforms: Microsoft Excel, Azure Sandbox, GitHub, Googel Colab

ML Algorithms: PCA, SVM, Decision Tree, Random Forest, XGBoost, KNN, K-means, DBSCAN

DL Architectures: CNN, RNN, LSTM, Transformers, Auto-encoders, VAE, GAN

Libraries: scikit-learn, TensorFlow, keras, Pytorch, pandas, matplotlib, and numpy

Tools: Google Workspace, RDBMS, IBM Cognos Analytics, Jupyter, SQLite, tableau

Work Experience

Data Science Consultant, Beamdata. Toronto, Canada 2023-March—Current

Client Wonder Verse

Utilizing Python libraries of Selenium and requests for web scraping to collect unstructured data from competitors.

Implementing ETL using Python and POSTSQL

Conducting analysis of month-to-month customer retention, operating effectiveness, and ad-hoc analysis using post SQL

Data visualization dashboarding using Tabulate.

Text data preprocessing, cleaning, data wrangling and topic clustering & modelling.

Consultant Intern, Synergy Enterprise, Victoria, BC 2019-Jan---2019-April

Completed and finalized employee handbook that outlines standardized practices and protocols for the company, and drafted policies that supported equity and inclusion in the workplace.

Planned, organized, and coordinated regular professional meetings with clients for B-Corp certification, enhancing the "social and environmental performance" of companies”.

Conducted questionnaires that offered clients opportunity to identify actions that improved their scores.

Communicated with customers as the first point of contact, answering all queries with promptness and professionalism that increased the client base.

EDUCATION

Birkbeck University, London, UK Jan 2022--June 2022

Graduate Certificate of mathematics Grade: Merit

Coursework: Differentiation and Integration, groups, rings, fields, and vector spaces, Real Analysis

University of Sydney, Sydney, Australia Jan 2021 – Dec 2021

Master of data science GPA: 71%

Coursework: Visual analysis, Machine learning and data mining, Natural Language Processing, computational statistical methods

University of Saint Mary, Halifax, Canada Sep 2020 – Sep 2021

Master of finance GPA: Distinction

Coursework: Applied statistics, econometric and business forecasting, Options and Financial Derivatives, Portfolio Management International Financial Market

Royal Roads University, Victoria, Canada Jan 2016-April 2019

Bachelor of business administration GPA:3.33/4.3

PROJECTS

Developing and testing knowledge transformers for pathology VQA (Skills: Python, Pytorch, TensorFlow) April 2021

●Using pretrained medical Elmo to generate embeddings for the knowledge modality.

●Generated question embeddings using pretrained Bert language models/testing included.

●Conducted different layer testing on the knowledge transformer.

●Integrated the Vision-Bert into the knowledge transformer and improved the result on the Slake dataset.

●Applied transfer learnings using Resnet, VGG, and Densnet for the image feature extraction.

●Applied residual learning for the Vision-Bert integrated knowledge transformer.

●Tested different optimization algorithms.

Research Experience

Independent Thesis completed on Event study of financial market in China during COVID-19

Saint Mary’s University 2019, May,2019 to August, 2019

Data Science Capstone Project on Medical Vision-Question-Answering’s applications

Sydney University, September, 2020 to December, 2020

Data Mining and its applications: Doc-to-Vectors

(Research Project) Online Research Seminar 2022/1/14—2022/4/01

Comprehensive Surveys on language embeddings(In progress)

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