Jonathan Campbell Email and Phone Number

- Managed and analyzed experimentation workflows through causal inference design, instrumentation, & statistical analysis, and communicated key insights cross-functionally to influence product, engineering, and science roadmaps- Provided solutions to complex business problems through applying advanced analytics and ML models to size opportunities, measure impact, and make recommendations- Built and managed data science software services that generated predictions, built data infrastructure, and generated internal and customer facing reports- Created, led, and executed roadmap that identified defects in customer data through data mining, simulation, & NLP to exceed our defect reduction goal- Science contributor to multiple teams: Dynamic Marketplace Pricing and Cost Forecasting, Tender Lifecycle and External Integrations, Website Platform, Website Engagement, and Shipper Sales Analytics- Key technologies used: R, Shiny, Javascript, Typescript, Python, Poetry, Docker, Tableau, DBT, Snowflake, AWS

-Created intervention analysis time series models to estimate the impact of market tactics to determine their profitability in relation to spend-Created machine learning model to predict incremental sales for various customer treatments to ascertain the overall value of certain customer behaviors-Wrote Python library to automate tailored excel dashboard generation including integrations to Redshift, Treasure Data, Sharepoint, and multiple APIs-Design and implement A|B tests to evaluate the effectiveness of marketing tactics-Built data driven customer segmentation in order to support advertising campaigns across software and hardware

- Used multiple analytic techniques such as ridge regression, lasso regression, multilevel regression, random forest, and spatial clustering to identify underlying trends related to key business metrics- Built a process to track a customer’s overall experience by aggregating the monetary impact associated with encountering repeated defects- Designed and supported novel experiment involving proactive customer outreach from launch to final analysis- Created exploratory datasets utilizing matrix factorization for dimensionality reduction

- Research machine learning applications to automate and scale analyses for big data applications- Utilize multiple data sources (Teradata, Hadoop, MySQL, Omniture, APIs, MongoDB) and data tools (R, Python, Tableau, Shiny, D3) to fulfill reporting and research requests- Design the framework and methodology for various analyses concerning software engineering performance, user behavior, design optimization, and revenue attribution- Collect and communicate data concerning cross-platform consumption of digital products during events such as the Super Bowl and March Madness to internal and external clients

- Investigated the virality of CBSNews assets on social media sites by applying densityclustering algorithms for virality classifications and performing analyses of rate of shares andasset characteristics- Monitored A|B testing experiment analyzing customer engagement- Pulled and aggregated data from multiple databases through the use of reporting tools such as Omniture, SQL queries, and noSQL python scripting

- Design and instruct a two hour computer lab, comprised of a short lecture and interactive lab, teaching the basics of data analysis using SPSS statistical software to 50 students within the Executive Masters of Public Administration program within the Columbia School of International and Public Affairs- Grade completed labs and provide feedback through individual write-ups and office hour appointments- Consult and advise students on data collection and analysis techniques for independent research assignments

-Performed day-to-day research concerning pressing legislation and political issues -Drafted constituent correspondence in response to specific areas of concern through theevaluation of legislative and legal research

- Constructed relational databases in order to manage and analyze case data - Created functional tools in order to increase efficiency and expedite creation of time-sensitive work product through use of merge codes, formulas, and queries - Coordinated large scale projects among peers, support departments, and attorneys in adeadline oriented environment to allow for progress review and to ensure proper andtimely project completion- Research, intake, and organize large volumes of general litigation and case data and inputsame into databases for review and analysis- Collaborate with attorneys, paralegals, and peers for compilation and preparation of presentation materials to include revising PowerPoint presentations, data charts, spreadsheets, and document collection and production logs for court hearings and trials- Research, proofread, and electronically file motions and briefs for complex litigation cases

-Interviewed, hired, and trained a staff of 32 Summer Assistants in preparation for the $13.4 million summer business season-Managed drafting and editing of contracts and the updating reservation records as the result of contract negotiations-Directed administrative functions including managing reservation records, pulling weekly data reports, billing, and collections-Managed Summer Assistants through supervision of sensitive customer service issues ordisputes between clients and multiple GW departments

- Coordinated with lawyers and legal secretaries to increase office efficiency by formulating and executing office procedure in the closing of legal matters- Organized and oversaw the firm’s file storage for active and inactive client files among several different file databases and file storage locations- Provided auxiliary support though trial preparation, document redaction, filing, and research

Served as a customer relations agent to the estimated 24,000 summer guests that visit GW annually. Assisted in the daily operations of GW Summer & Conference Housing by coordinating overall guest management including, but not limited to: group and individual check-ins/outs, reservation management, responding to guest issues/concerns, and providing University/community information.

-Performed day-to-day research concerning pressing legislation and political issues -Drafted constituent correspondence in response to specific areas of concern through theevaluation of legislative and legal research