I'm a data and AI professional who helps teams turn complex problems into clear, actionable decisions. Across industries, I’ve seen how the right mix of data, AI, and human judgment can unlock smarter strategies and better products. I’ve led projects that bring structure to messy data, apply practical AI, and deliver tools that make data more useful day to day. With a background in both tech and business, I translate between teams—helping ideas move from insight to impact. Outside of work, I’m drawn to design, fashion, and exploring new AI tools—creative spaces that keep me curious, inspired, and always learning.
Coursework: Big Data Platforms, Data Engineering, Data Mining, Machine Learning, Statistical Analysis, Time Series Analysis, Predictive Analytics, Deep Learning & Image Recognition, MlOps, Digital Marketing
Cumulative GPA: 4.0
Sep 2019 - Dec 2019Coursework: Python, SQL Programming
Cumulative GPA: 4.0
Aug 2013 - May 2017Undergraduate business program from McIntrie School of Commerce
Cumulative GPA: 3.5/4.0; Dean's List 2013 Fall/Spring, 2014 Fall
Built entity extraction models using BERT (natural language transformer) and machine learning libraries such as TensorFlow, Keras, and Scikit-learn to leverage 2 billion transaction data to predict 9 entities for the top 50 merchants, and the final model scored ~99% on precision for 2 million sample
Increased data quality and coverage for Affinity's clients and reduced costs by setting up an automated data extraction via deep learning (e.g., increased data coverage by 95% on order number entity)
Implemented a custom data cleaning process on millions of transaction data via Google Cloud Platform and Big Query
Sep 2017 - May 2020Branding, UX/UI Design & Web/App Dev Digital Agency
Accelerated the company's digital transformation process from a US-based in-person digital agency to a fully virtual digital agency offering online products and services from branding identity, UX/UI design, Web/App development to consulting, allowing for market expansion into Asia Pacific region in 2018
Led overall business operations, partnership development, and communication with international clients
Managed complete product lifecycle (UX wireframing, development, and delivery) on web development projects using content management system (CMS) and ensured the output meets the current digital trends as well as clients' needs
Implemented data collection and analytics systems, such as Google Analytics, providing insight into SEO and user engagement
May 2016 - Aug 2016Conducted due diligence to qualify industry experts to arrange consultations with clients, such as private equity firms, hedge funds, and top-tier consulting firms; completed 30 advisory projects, generating $20,000 of revenue to the firm
Led a team of 4 to build a patent semantic similarity search system to streamline the prior art search step of the patent application. Sentence-BERT, FAISS and Streamlit were used.
DetailsBuilt NLP classification models to predict helpfulness of Amazon product reviews using PySpark on Hadoop cluster
DetailsImplemented Random Forest, Boosting, and Bagging Regressor to enhance the model performance, predicting used car prices
DetailsPerformed a sentimental analysis on web-scraped 20000+ tweets for 186 brands to evaluate brand perception using TextBlob and NLTK
DetailsBuilt an online examination proctoring service incorporating existing OpenCV and YOLOv3 deep learning models in a team
GitHubManaged a team of 6 to build an end-to-end solution for developers and designers to match into projects in bootcamp
GitHub