Data Analyst: Python, SAS EM, Tableau

LUKE LIM, MSIS HTTPS://WWW.LINKEDIN.COM/IN/LUKE-LIM-889146A9/

***** **** *** * *** • Mountlake Terrace, Washington 98043 • Email: *********@*****.*** • Phone: 206-***-**** ENTRY-LEVEL DATA SCIENTIST & DATA ANALYST

SUMMARY Recent Graduate of University of Washington’s Information Systems Master’s program seeking to apply technical training from academic projects to an entry-level position as a Data Analyst/Data Scientist. Skilled researcher working cross-functionally in collaboration with project teams to drive strategic initiatives, helping solve complex problems and address business challenges via data insights; applying advanced analytics and cutting-edge technologies to identify/measure performance, visualize trends/patterns, mitigate risks, & optimize processes/products/outcomes, providing solutions to support leaders in decision-making for business performance. Data Analysis: Applied advanced analytics & mathematical/statistical/predictive models to identify/interpret data, using data mining, machine learning (ML), artificial intelligence (AI), predictive forecasting, & business intelligence (BI) tools; driving transformation. Other Technologies: Cybersecurity (i.e., information assets, information security architecture design, internal/external threat detection), cloud computing (i.e., cloud architecture & deployment/AWS), statistics, SQL/database management, enterprise systems, hypothesis testing, linear & logistic regressions, clustering, neural network/algorithms, Decision Tree, programming: statistical analysis & data science. Programming Languages: Python, R, C#, SAS EM; Software/Tools: AWS, Tableau, Microsoft Office: Wood, Excel, PowerPoint, Data Systems: SQL Server

Project Leadership: Participated in project management, applying leadership principles to support digital transformation; implementing process improvements and executing enterprise system integration projects. Competencies: Big Data, Data Storage, Data Visualization, Regression Models, Data Cleaning, Applied Mathematics & Statistics EDUCATION MS in Information Systems, University of Washington, Michael G. Foster School of Business, Seattle, WA, 2020 BA in Business Administration, Information Systems and Accounting, University of Washington, Michael G. Foster School of Business, Seattle, WA, 2019

AA in Business, Seattle Central College, Seattle, WA, 2015 Awards: Business Endowed Scholarship Recipient RELATED COURSES/PROJECTS

MSIS 549 Machine Learning and AI: Trained a recurrent neural network to classify Reuters newswires into 46 topics from a 10,000 data set and achieved 80% validation accuracy.

MSIS 522 Advanced Data Mining: Built a machine learning solution (e.g., Decision tree, Clustering, Python from end-to-end learning). MSIS 510 Data Mining and Analytics: Conducted data regression analyses in SAS EM to predict a model that could classify the financial condition of a new bank data with a sample of 40 banks, supporting managerial decision-making through business intelligence.

• Solved a logistic regression model that maximizes the net profit for banks with advertising costs and personal loan data.

• Built a classification tree and KNN model that maximizes the predictive accuracy with commercial flights from D.C. to CA data set.

• Learned data cleaning, design, testing, and validation techniques; in addition, intelligence in business processes and applications. MSIS 504 Business Decision Models/Data Analysis: Formulated/modeled business decision problems, performing risk analysis, simulation, linear programming, and extensions; utilizing statistical techniques for managerial decision-making.

• Cleaned an adult income data set, standardized columns, examined correlation using heatmap, tested predictors for normality, established hypothesis test to check for Gaussian, and tested outliers. Results indicated that 98% of the data was considered an outlier and that linear regression was not recommended.

MSIS 543 Advanced Database System and Data Warehouse: Gained understanding of enterprise databases to design/support BI solutions and applied Agile techniques, helping develop solutions to meet requirements and ensure competitive advantage.

• Designed a star schema dimensional model for a shipping company with limited customers. MSIS 549 (2): Machine Learning and Artificial Intelligence for Business Applications: ML, deep learning, and AI algorithms. IS 445 Database Management: Analyzed a business situation to determine information management needs.

• Designed a database to address those needs and wrote SQL queries to retrieve information from a relational database. PROFESSIONAL EXPERIENCE

INTENTIONAL FUTURES Seattle, WA 11/2018 – 11/2019 Finance and Operations Assistant, Handled Accounts Payable (A/P): managed incoming invoices from vendors and employees.

• Reconciled credit cards and categorized bills in accordance with contracts and created performance analysis report for CEO & managers.

• Managed database of employees, customers, and vendors. HONORS/AWARDS John Hopkins University $20K Scholarship to enroll in the Undergraduate Carey Business School. Fall 2015 Amatic Math Competition, Received Place 1st out of 100 competitors in a math competition held at Seattle Central College. 2/2014

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