Jen Hsiang Yang
@jenhsiangyang
Data-driven professional with a passion for business analytics.
What I'm looking for
As a seasoned data professional with seven years of experience, I have developed a strong proficiency in financial and customer analysis using advanced Excel, SQL, and Python. My expertise in ensuring service quality through collaboration with product teams, marketing teams, and clients has earned me a reputation as a reliable and motivated individual. I am excited to apply my analytical and programming skills to ensure data reliability and build robust data pipelines.
With a strong background in data engineering and business analysis, I have successfully enhanced customer satisfaction, reduced query execution time, and increased data retrieval speed in my previous roles. I am confident in my ability to leverage my skills in data warehouse design, ETL, Airflow, Machine Learning, and Quantitative finance to drive business growth.
I am currently pursuing a Master of Business Analytics at the University of British Columbia, where I am expanding my knowledge in data management, business analytics programming, and data visualization. I am excited to bring my skills and experience to a new challenge and contribute to a team that values data-driven decision-making.
Experience
Work history, roles, and key accomplishments
Data Engineer
university of british columbia
May 2024 - Present (1 year 1 month)
-Designed and implemented Tabular data models, reducing ledger report processing time by 50%;
-Orchestrated an OCR system and OpenAI API in python to process invoice information;
-Built a centralized data warehouse on Azure using Data Factory and Synapse Analytics, improving accessibility, reducing query time by 40%, and enhancing data-driven reporting.
Data Engineer
FTSE Russell
May 2022 - Jul 2023 (1 year 2 months)
-Spearheaded the migration of on-premise data systems to AWS cloud infrastructure, leveraging S3, Redshift, and Glue for storage, transformation, and retrieval;
-Reduced query execution time by 40% for critical metrics (returns, variances, skewness etc) by optimizing data storage, retrieval processes, and fine-tuning the performance of spark procedures on Snowflake;
Senior Data Analyst
FTSE Russell
Jun 2019 - Apr 2022 (2 years 10 months)
-Managed and monitored the end-to-end implementation of Go-Live strategies with teams of operation, client service and marketing, mitigating risks and ensuring minimal disruptions during the launch phase;
-Mentored junior engineers on data engineering best practices and conducted training sessions on Python and SQL optimization techniques;
Business Analyst
Cathay Securities Ltd
Jul 2017 - Jun 2019 (1 year 11 months)
Increased marketing ROI by 30% through customer survival analysis and trend analysis on user transactions.
Education
Degrees, certifications, and relevant coursework
University of British Columbia
Master, Business Analytics
2023 - 2024
Grade: 3.8
LLM, Machine Learning, Azure, AWS
Tech stack
Software and tools used professionally
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