ANQI WEI (ANGELA)

Data-Driven Business Analyst Business Data Analyst

669-***-**** ad3l72@r.postjobfree.com linkedin.com/in/angela-anqiwei SUMMARY

Enthusiastic Business Data Analyst with 6 years strong background in leveraging data visualizations and implementing machine learning techniques to provide actionable business insights and improve business processes. Proven track record of improving efficiency by 20% and securing funding support through accurate data analysis. A collaborative team leader dedicated to utilizing advanced data skills to drive business decisions.

EXPERIENCE

Data Science Researcher (Intern)

Sauti East Africa 06/2023 - 10/2023 Remote

Enhanced data standards, communication, and analysis strategies, identifying the onset of Sauti's impact on local rural farmers with a 30% increase in user engagement. This crucial insight, previously overlooked in business analysis, provides key recommendations for the company's future strategic planning. Utilized data visualizations within the Tableau dashboard to present insights into the user demographic and price trend fluctuations for more than 30 different product categories.

Achieved a 10% improvement in report accuracy by conducting in-depth data analysis and implementing Python (NumPy) for automated data processing, helped the company secure funding support from UN.

Developed a KNN model to automatically detect outlier commodity prices, achieving a 92% accuracy rate during testing on historical data; the implementation of this model resulted in a significant labor reduction at least 4 hours per week. Business Data Analyst (Intern)

Pluto7 01/2023 - 06/2023 San Jose

Implemented machine learning techniques like XG-Boost and Random Forest to develop accurate demand forecasting models for Iowa liquor dealer sales data, achieving an impressive R-squared value of 0.84. Identified key factors influencing liquor demand, focusing on unemployment rates and average selling prices (ASP), providing optimize inventory demand business insights, reducing inventory depth even for seasonal trends and products with shorter life cycles. Senior Manager

Public Investment Section, Alxa Finance Bureau

12/2016 - 08/2022 Inner Mongolia, China

Managed 11 government-cooperation projects totaling $1.2 billion over 5 years,surpassing anticipated returns on 85% of the initiatives. Zero project terminations occurred.

Recognized for the excellence of the Smart City project in China's Ministry of Finance Excellent PPP Project Pool, with railway and airport projects highlighted in Inner Mongolia Region's Excellent Projects Pool.

Obtained a $42 million loan from the Asian Development Bank for a new port initiative among 11 competitive ports, managed the $42 loan for four years, aligning financial projections with strategic investment goals.

Created Tableau visualizations to compare key metrics and its trends, highlighting a 50% increase in cargo volume at our border port compared to other ports. Senior Staff Member

Local Finance Section, Alxa Finance Bureau

12/2014 - 11/2016 Inner Mongolia, China

Implemented discounted loan services for local small businesses, utilizing Excel for bank data analysis and statistics. Adapted discount policies in real-time based on actual conditions, successfully reducing the non-performing loan rate by 10%. AWARDS

2023 Spring Quarter

Dean’s list

Distinction Graduates of

Queen Marry University

of London in 2014

SKILLS

SQL Tableau Spark R

Excel Data Analysis

Machine Learning (Python, R)

Python(NumPy/Pandas/Matplotlib/

Seaborn/Statsmodels/Scikit-learn)

EDUCATION

Master of Science in Business

Analytics

Santa Clara University

09/2022 - 12/2023

Santa Clara, CA

Mater of Science in

Accounting and Finance

Queen Mary University of

London

2012 - 2014 London, UK

Bachelor of Economics in

Taxation

Capital University of Business

and Economics

2008 - 2012 Beijing, China

AWARDED PROJECT

Employee Attrition Analysis

of Teladoc

Won first place in the Data Analytic

Showdown Competition at Santa Clara

University Leavey Business School.

Analyzed real attrition data from 2022

and 2023 from Teladoc to pinpoint key

factors influencing employee retention,

such as years of service and

participation in stock purchase plans.

Developed a predictive model to

forecast employer attrition,

highlighting areas of opportunity for

enhancing employee retention.

STRENGTHS

Communication

Excellent at presenting data

insights

Problem Solving

Effective in finding data-driven

solutions

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