About

I'm a Data Ninja, slicing and dicing through mountains of data to uncover the hidden gems that drive business growth. My expertise in SQL, Python, and R, Tableau, Excel, SAS, combined with my strategic thinking and high attention to detail allows me to extract insights and trends that others miss. I'm not just a "number cruncher", I'm a storyteller, able to turn data into a compelling narrative that drives decision-making and strategy. I'm passionate about my work, and nothing excites me more than turning data into action. When I'm not busy fighting the data fight, you can find me on a trip, playing video games or board games, trying out new recipes, or sleeping.

  • Birthday: 29 April 1997
  • Phone: +1 765-350-9370
  • City: West Lafayette, IN
  • Email: tiantian210030@gmail.com

Interests

Data Visualization

Statistic Analysis

Database Management

Machine Learning

Business Analysis

Optimization Modeling

Process Automation

Project Management

Education

MS in Business Analytics & Information Management

Aug 2021 - June 2022
Relevant Coursework
  • Advanced Business Analytics
  • Management of Organizational Data
  • Statistical and Machine Learning
  • R for Analytics
  • Analyzing Unstructured Data
  • Data Mining w/SAS Enterprise Miner
  • Spreadsheet Modeling and Simulation

BA in Mathematics, Minor in Statistics

Aug 2015 - Aug 2019
Relevant Coursework
  • Statistics for Business
  • Experimental Design and Analysis
  • Regression Modeling and ANOVA in the Health Sciences
  • Research Data Management
  • Mathematics of Finance I&II
  • Introductory to Actuarial Science

Online Certification

Tableau Desktop Specialist

Operations Research with SAS Optimization

Supervised Learning in R: Classification

Intermediate Python

Intermediate Data visualization with ggplot2

Regression in R

Experience

Restoration Hardware (RH)

June 2022 - November 2022

Data Analyst

  • Extracted and automated external large-volume data to analysis-ready tables into SQL Server and performed data quality checks
  • Built and maintained 2 Tableau dashboards to monitor department operational performance and performed Root Cause Analysis on KPI drivers; Presented weekly insights to executives and identified 3 cost-down opportunities with 1 resulted in 9% saving
  • Developed ad-hoc reportings/visualizations based on project needs and provided consultancy on troubleshooting SQL queries
  • Developed custom data models & algorithms in Python to process PO-level data at scale and led data investigations on order delivery patterns by conducting descriptive and statistical analysis
  • Initiated a predictive model using Python with 93% accuracy to estimate and audit monthly freight payments, resulting in 15x increased scalability and saved $54K from third party invoice overbilling
  • Created automation for common reporting workflows using Power Automate, Python and SQL Agent to reduce manual works

Restoration Hardware (RH)

January 2022 - May 2022

Data Scientist Intern

  • Collected and translated clients’ business strategy into technical solutions and assisted in Agile project management in Notion
  • Led team of 5 to conduct data cleaning and hypothesis testings in R and EDA in Tableau to visualize data trends and outliers
  • Predicted annual product shipping demand by building and validating Time Series models (ARIMA, Auto ARIMA, Holt-Winter’s) in R and saved ocean freight spot-market costs of ~$320K
  • Launched automated user-interactive RShiny web app to enable clients to modify input data and business constraints and get simulated model forecast results in 1 click

Purdue University - Mursix Corp. Database Implement & Production Lead Time Analysis

Septempber 2021 - December 2021

Data Analyst Student Consultant

  • Developed complex SQLite queries in Plex to mine manufacturing data, integrate, and wrangle raw data into MySQL
  • Designed Entity Relational Diagram of 17 tables and conducted database normalization to 3rd normal form to resolve anomalies; Assisted in the processes of database implementation and team members training
  • Analyzed production process and late delivery trends using Excel & R and delivered advised on production process improvement

Trasen Science & Technology Corp., Ltd. (Largest medical IT company in south China)

June 2020 - July 2021

Business Analyst

  • Performed extensive market research on leading players in the global medical IT industry, and conducted a comparative analysis using a spreadsheet to help the company shape its 5-year strategic business development plan
  • Partnered with Project Management Center to develop dashboards in Tableau and Excel to visualize and monitor KPIs of 60+ projects such as project on-time delivery rate and payment collection rate
  • Facilitated Pre-IPO due diligence process of 6 investment institutions by gathering due diligence checklists and coordinating cross-function partners to provide documents and create data reports, including sales reports and account payable schedules

Projects

  • All
  • Optimization
  • Predictive Modeling
  • SQL
  • Other Practices

Water Usage Costs Optimization in SAS

RShiny: Chocolate Ingredients Optimization

Craigslist Genre Classification with NLP Text Mining

Predicting the Overall Risks of Heart Disease

SQL: Covid 19 Data Exploration

Statistical Analysis of Window Breakage

Basic SQL queries practice using movie data

Skills

Languages and Databases

Microsoft SQL Server MySQL Python R SAS Minitab

Frameworks

pandas numpy tensorflow sklearn sqlalchemy

Tools

tableau excel Power-BI matplotlib Seaborn ggplot

Contact

Social Profiles

Email

tiantian210030@gmail.com