Yize Z. Email & Phone Number

New York, Ny, Us

Worldwide, Oo

Worldwide, Oo

1. Design, develop and implement AI and Machine Learning solutions to solve business problem, identify quantitative metrics to evaluate solution performance2. Collaborate and communicate with external and internal clients to understand business problems, deliver impact by AI-focused products, analysis and storytelling 3. Apply Data Science techniques including data collection, EDA, feature engineering, modelling and data visualizationSome client delivery highlights: Digital Examiner for Health Insurance Claims: * Lead development of Digital Claim Examiner (DCE) modelling experiments workstream.* Develop Binary Relevance models on insurance claims to predict about 100 business tags, design business metrics and the model achieves over 90% accuracy* The product is estimated to save client $8-10M in a yearFinancial Aid Optimization for Public University* Develop Logistic Regression for point prediction on matriculants and describe applicant individual sensitivity to institutional grants by optimizing Net Tuition Revenue* Model predictions and key feature analysis are ingested to Tableau dashboard for Office of Admission operationPurchase Line Prediction for Supply Chain Sales* Design and develop an AI product with three functions: Ingest enterprise purchase lines, classify them to Global Standardized Taxonomy (GST) with NLP modeling and supplier check-up, and generate GST level summary reports* Conduct feature engineering using n-gram, TF-IDF, bag-of-word and word embeddings with word2vec/doc2vec* The product enables automated classification at 95% accuracy level, increasing average speed per client from 1-2 weeks to 1 day and reducing average cost from $30K to $10k

Privacy Data Prediction and Detection1. Design, develop and maintain data models and production data pipelines to ingest AI-driven privacy data detection signals, enabling company-wide data scanning coverage over 90% and prediction F2-score over 95%2. Define and implement key external and internal metrics to evaluate the detection and annotation service performance and quality, create dashboards to enable cross-function teams and customers to understand impact and potential improvementsPrivacy Review Data Architecture Redesign1. Redesign and implement reliable data architecture for privacy review to empower scalable review process withoutcompromise data quality2. Identify 7 key metrics on 16 dimensions and develop end-to-end data quality checks from user input to data pipeline transformation and leadership dashboards3. Develop monitoring dashboards to track data quality, short oncall’s debugging time by at least 50%

Ann Arbor, Mi, Us

SI 671 Natural Language Processing

Ann Arbor, Mi, Us

Worked with Prof. Ceren Buduk and GSI Deahan Yu for SI 618 Data Manipulation and Analysis

Youngstown, Ohio, Us

Design and implement a note-clustering algorithm with NLP models.

Oslo, No

1. Collecting scholars meta data from Google Scholar APIs and storing the data into Sqlite2. Cleaning data of scholars, journals and articles provided by supervisor and merging with meta data

Needham, Massachusetts, Us

1. MySQL and Microsoft Access database development: Building the database in MySQL according to business needs and developing front end in Microsoft Access using VBA programming language;2. Data collection and sorting in SPSS: Using SPSS coding to transfer excel survey to SPSS template, producing data-cut and validating the logic of questionnaire;3. Publish End-user Research and Statistics (ERS) Newsletter on WeChat platform;4. Translating and proofreading collected raw data from survey and report to English.

Burnaby, Bc, Ca

I was a research intern in Gerontology Research Center in SFU with sponsorship from Mitacs and Chinese Government Scholarship. The project I involved in was "LGBT future planning: Improve web access, online services and web safety for end-of-life planning for LGBT older people".My responsibilities includes:1. Implemented Internet usage and end-of-life preparation patterns exploratory data analysis and ANOVA test of data from 143 LGBT seniors across 5 cities with 231 variables, using SPSS2. Engaged in local LGBT elder care volunteering and participated the Pride Parade

Master Of Science In Information, Information Analysis And Retrieval

Bachelor Of Management, Information Management And Information Systems