Jason Chang Email & Phone Number

San Jose, Ca, Us

• Developing a standalone selling price (SSP) methodology to calculate the percentage of SSP (weight) to allocate to the Adobe.com sell-in channel to be in accordance with the ASC 606 revenue recognition standard.• Building an automated tool employing SQL and Python for the SSP analysis and validating there are no issues due to the SAP S/4HANA system migration. • Evaluating and communicating the quarterly non-GAAP implications of Adobe.com flexible promotions, pinpointing data irregularities, and conducting testing on solutions to guarantee accurate execution.Contracted through Mindlance.

Reduction in force/layoff

San Francisco, California, Us

• Created and maintained metrics/KPI dashboards (Snowflake Sigma) to provide Operations, Sales, and Strategy teams with key brand performance and supply chain analytics to drive and inform DoorDash Kitchens (DDK) growth decisions• Automated PO processes in Google Sheets to increase accuracy and reduce time spent on manual actions by 2+ hours per week• Constructed PO projection models in Google Sheets to provide critical operations data to stores and inform supply chain decisions• Managed the end-to-end launch for 5+ new DKK stores, resulting in ~$10k net new weekly revenue to DDK• Collaborated cross-functionally to implement process improvements for DDK facilities, increasing store ratings to 4.5+ stars• Coordinated with supply chain vendors to launch a new licensing initiative for DDK, establishing 10+ new stores nationally• Defined 10+ standard operating procedures to efficiently onboard new stores and scale DDK licensing operations nationwide• Opened and managed 10+ blanket purchase order numbers for vendors in the Coupa platform (quarterly)

London, Gb

Regulatory Projects | Data Visualization, Scrum, Data Quality • Directed daily meetings with technical and non-technical stakeholders to manage the design, implementation, and testing of scenario-based results data models and reporting dashboards for annual regulatory reviews (CECL, CCAR, IFRS9).• Supported scrum team as a Product Owner for data model development and results dashboard execution, leading to an increase in productivity by >100%• Facilitated scrum calls, backlog refinement, and sprint meetings to ensure deadlines are being met and lead meetings with clients to gather requirements and ensure JIRA development is on track• Built a data validation automation tool in Python to improve data quality (valid values, counts & null checks) and reduce testing time by >50%• Performed data reconciliations using Impala SQL and MS Excel to ensure accuracy of Tableau metrics dashboardsRisk Projects | Stakeholder Management, KPI, Financial Management • Developed KPI inventory to measure a bank’s risk appetite for losses • Led client workshops to develop Blueworks process flows that mapped out the end to end process flows of FX and loan products • Owned the weekly financials, bi-weekly budgeting, monthly invoicing and weekly communication to Senior Management

London, Gb

Regulatory Communications• Developed an executive dashboard in Tableau to display high level statistics throughout each phase of the trade confirmation lifecycle (selection criteria, aggregation, composition and delivery), along with exceptions that require immediate attention.Anti-Money Laundering (AML) Cards Segmentation and Enhanced Initial Threshold Setting• Produced histograms, density plots, and descriptive statistics for analysis of credit segments and segment splits using PySpark• Utilized Spotfire to do extensive visual analysis on data trends and profiling• Lead internal and client trainings and oversaw the team in execution phase for SME areas• Utilized big data tools (Spark, Hadoop, Hive) and PuTTy to create and run analysis on account and customer transaction data (focused on consumer banking) for AML rules• Developed a threshold optimization tool and a percentile analysis tool in PySpark to provide threshold recommendations to improve productive alert coverage• Performed correlation analysis to determine the best proxy variable for segmentation using Spearman’s rank correlation coefficient and used modified conditional inference trees to determine optimal splitting of these proxy variables in RNon-Financial Regulatory Reporting• Performed a detailed data assessment of Large Option Position Reporting (LOPR) to determine gaps and remediation issues• Performed data analytics on fines to the client to determine key issue areas using Spotfire• Utilized MS Visio to visualize data and system flows for their reporting processes• SQL queries were built in MS SSMS to run data-level field checks and scenario validation checks within the EY Flex environment (profiled data using Tableau)• Used Pentaho to build out the ETL process and data architecture (hub & spokes model)

Portsmouth, New Hampshire, Us

• Assisted employees in setting up MS OneDrive cloud service to replace their individual company home drives• Utilized MS Visio to produce rack diagrams for current and proposed configurations.• Consolidated large, disorganized data sets recorded in their Sugar CRM by different users• Data cleaning and sorting: manipulated all data into the same format (MS Excel)• Data merging and matching: combined files together for ease of use (R, SQL)Sales Project: Performed an analysis of the company’s sales department• Used SQL queries to create useful datasets.• Produced MS Excel pivot tables and R graphics (ggplot2) to break down exported datasets• Wrote a detailed report to summarize findings, report problems/abnormalities, and make suggestions for improvement

Troy, Ny, Us

• Learned and utilized R programming to develop a script to find overlapping musical strips in jazz songs.• Compiled and summarized data for statistical analysis (input, manipulate, analyze, and integrate information)• Worked independently with minimal supervision• Used chi-squared tests of independence in R to analyze the relationship between cognitive / temporal thought processes and solo / non-solo sections of music.• Produced graphics in MS Excel to illustrate data (e.g. count of specific codes over time, percentage of codes per section, etc.)

• Handled on average $250.00 a day and helped organize bills• Assisted with advertisement and menu/sign designs• Developed interpersonal and professional skills

Master Of Science (M.S.), Quantitative Finance & Risk Analytics

Bachelor Of Science (B.S.), Industrial & Management Engineering

Bachelor Of Science (B.S.), Mechanical Engineering