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Statistical Data Analyst

Location:
Little Rock, AR
Posted:
February 09, 2020

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Resume:

Yong Lin

Little Rock, AR ***** 646-***-**** adbo09@r.postjobfree.com https://www.linkedin.com/in/yong-lin-/ EDUCATION

University of Connecticut Stamford, CT

Master of Science in Business Analytics and Project Management /GPA: 4.0/4.0 05/2019 Beijing Institute of Technology Beijing, CN

Three semesters towards Master of Engineering in Mechanical Engineering /GPA: 3.7/4.0 01/2018 TECHNICAL SKILLS

Programming Languages: Python (Sklearn, Pandas, Numpy), R, SAS, SQL Analytics Algorithms: Experimental Design (A/B Test), Machine Learning, Linear Regression, Time Series, Survival Analysis, Reporting Tools & Database Platforms: SAS Enterprise Miner, SAS JMP, Tableau; Microsoft SQL Server, Apache Spark EXPERIENCE

Statistical Data Analyst (Employer: Dillard’s) Tools: Python, SQL, Experimental Design, 07/2019-present

Mined high-volume data (1M+ rows) with SQL via Teradata for preliminary retail marketing analysis

Utilized deep learning to develop models that will deliver business solutions for clientele app like image similarity model

Developed a feasible experimental design platform using control matching for test design; Also performed sensitivity analysis, sequential modeling and Bayesian A/B testing to make test design projects more robust and flexible

Helped company save annual commission $500,000 in lieu of the third-party firm with this band new test design platform Research Assistant (Employer: UConn) Tools: Python, NLP, Predictive Model 11/2018-05/2019

Utilized NLP like topic segmentation to analyze brands’ posts and users’ comments on different platforms via python

Derived pairwise post similarity and identified key attributes of overlap or complementarities affecting the success of brands

Resulted in user focused marketing and open new market revenues for the company increasing customers by 6-10% Investment Intern (Employer: China Development Bank) Tools: Tableau, Excel, Linear Modeling 09/2017-12/2017

Evaluated the profitability of investment portfolios and adjusted investment plans via linear programming for vendors

Developed an interactive visual dashboard via Tableau for portfolios’ performance reporting for clients

Automated an excel weekly forecast tracker report using R reducing man hours from 2 hours to only 15 mins Research Intern (Employer: China Minsheng Securities Co., Ltd) Tools: Excel, Wind 05/2017-08/2017

Analyzed the industry and business by conducting filed research, interviewing managers, reviewing financial statements

Completed due diligence report independently including industry introduction, corporate business and prospects and risks

Optimized investment worth $5 million between multiple channels for different business scenarios discussed with managers Modeling Intern (Employer: Bosch Automotive Group Co., Ltd) Tools: MATLAB 01/2016- 07/2016

Reviewed the feasibility of motor models and simulated these models on software MATLAB

Assessed performance data, improved abnormal data occurrence and increased torque stationarity by 3% DATA CHALLENGE PROJECTS

Independent Researcher in Mortgage Analysis (Company: Freddie Mac) Tools: Python, Survival Analysis 01/2019-04/2019

Predicted mortgage delinquency and prepayment; Handled imbalanced classes using resampling, bagging, SMOTE

Created transition matrix of loan status and survival analysis to examine how characteristics of loans impact loan performance

Improved the fraud capture rate of the existing model by 74% through feature engineering, Grid Search Team Leader in Fake Reviews Detecting (Company: CareDash) Tools: Python, SAS, Text Mining 12/2018- 02/2019

Designed some logic to help detect and filter fake reviews for company CareDash to improve reliability via Python

Built predictive models in XGBoost, SVM & Ridge Regression; Concluded XGBoost (accuracy 0.81) as the best model

Ranked top 1 among 15 teams;

Team Leader in Engaging Emails’Attributes Indicator (Company: Voya) Tools: Python, Tableau, LDA 08/2018-12/2018

Performed data analysis to understand the attributes of engaging emails via python and presented findings via Tableau

Recommended strategies for Voya to better engage their partners based on the impact of significant variables

Gained praise for interesting views including sweet spot for email volume and frequency from company Voya



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