Help various clients with hiring, insights generation, managing talent, reporting infrastructure, data reports.

Scribd is the world’s largest digital library, offering the best ebooks, audiobooks, magazines, sheet music, podcasts, and PDFs, all in one subscription. Scribd serves the needs of 250m/month visitors and ∼2m paid subscribers.Manager of managers running a team of 20. Set company, pillar and squad goals annually and quarterly across the entire company. Consulted with Executive staff on board communication, company communication, and planning strategy.Set customer profiles and aligned marketing and product efforts towards building and attracting our ideal customer.Responsible for due diligence on over 10 companies in our M&A efforts. Responsible for goal attainment reporting Ran weekly and quarterly metrics and strategy meetings for entire company.

Scaled team from zero to seven.Wrote charter, mission and created career ladders for analytics disciplines.Crafted internal data culture by focusing on team accountability and internal messaging in written communication and All Hands presentations.Architect of first analytics data model improving data quality and reducing ETL cost of data transfer.Rebuilt BI platform to be self service increasing access to dimensionality of the business ten fold and creating the first content insights reporting scheme.

Operationalize data throughout the organization by aligning the company to key performance metrics and by running monthly business reviews to discuss performance and impact for the Revenue, Customer Success, Product and Engineering, and marketing functions.Rebuilt backend data ETL and Looker frontend in order to empower departments to build reports by removing legacy, redundant, or inaccurate measures and dimensions creating a smaller and easier to understand front end and reducing dimensions and measures by 85%Built attribution models for candidate acquisition and product features.Improved Net Dollar Retention by building tools that provided leading and lagging indicators to customer success in the marketplace.

Developed the Sales Engineering team in order to better allocate internal resources being used for each sales prospect.Became a subject matter expert for data collection, extraction, and modeling using human capital data and systems.Moved on once Evolv was acquired by Cornerstone.

Work with Engineering to productize any and all analytical reporting decreasing deliverable turnaround from 16 hours to 1 hour. Helped create a full product offering in Evolv Insights by QA’ing output from our Machine Learning Platform.Met with stakeholders to create a product roadmap and wire frames. Translated these into epics, stories and tasks including prioritization and deliverable scheduleConsulted with engineering on database structure, ETL rules, data quality rules, and meta setup for BI Wrote webcrawlers in Python to pull data off of relevant sites such as the Bureau of Labor StatisticsQA’ed code and database output in JAVACreated Evolv’s flagship marketing product, the WorkForce Report, delivered quarterly with 10-15 satistically predictive analytical studies such as: -Giving people 1-3 hours of average overtime each week keeps people 58% longer -Previous relevant work experience has no impact on performance -BLS JOLTS data shows that retention has a step-wise function on retention -Walk score, as the independent variable for work amenities, proved that an increase in score increases the probability of retention by 27% for every 10 point increase in walkscore

Provided data analysis and general analytics for all internal departments such as account management, PhD I/O Psychologists, sales, marketing, and end clients. Was tasked with scrubbing and cleaning the data, describing and modeling the relevant KPI’s and provided insight and explanations as to trends seen in the data.Managed the department including hitting day-to-day deliverables and deadlines, setting quarterly goals, and automating analysis.Responsible for dataset modeling, survival/hazard modeling, trend modeling, and fitting distributions to data sets in STATA, excel, and RProvided key insight into hiring problems such as candidate shelf life, the employee learning curve, merging productivity improvements with increased employee median retained tenure, and profit curves of a new hireSkilled in receiving data in various forms, merging data from external sources with internally captured metrics, and cleaning data to the relevant analyzable data setConsulted with engineering on relevant database structure, ETL rules, data quality rules, and meta setup for BI reportingBuilt an ROI business case to monetize improvements to tenure and workforce productivity to show the products value to clientsWell versed in explaining in detail or in summary complex analytics to people with various levels or understanding from Engineers to HR recruiters

Responsible for data analysis and modeling processes, from the initial stages to final selections, for review prior to approval for client presentation. Completed data meetings and presentations with mortgage insurers and mortgage issuers to evaluate the future financial performance of their loan portfolio.Responsible for creating financial statements to evaluate billion dollar mortgage portfolios to predict future financial net worth for such clients as Bank of America, Washington Mutual, Countrywide, and Wachovia when they were acquired by Wells FargoSkilled in interpreting and modeling complex contracts such as reinsurance contracts, mortgage insurance contracts, bulk loan deals, and pool loan deals for large banking institutions such as Wachovia, Washington Mutual, Countrywide, Citibank, Wells Fargo, SunTrust Bank, National City Bank, Regions Bank, and HSBCModeled business for three of the seven largest mortgage insurers Mortgage Guaranty Insurance Company, PMI Mortgage Insurance Company, and United Guaranty Mortgage Insurance Company, which represented 40 percent of the insurance market in the nation.Checked accuracy by duplicating the actuarial independent study of the Federal Housing Agencies expected future loss ratio.Responsible for creating and modeling reinsurance contracts that would pass the Housing and Urban Development’s test for transfer of risk for United Guaranty Mortgage Insurance Company and Mortgage Guaranty Insurance CorporationModeled loan portfolio performance for government housing finance agencies lending to low-income first-time borrowers for CalHFA, California Department of Veterans, MassHousing, and WHEDA.Worked with large databases of major banking institutions mortgage and credit loans to extract pertinent data and metrics.Wrote professional articles and technical reports while creating financial charts and exhibits to market Milliman’s brand.

Built utilization and trend models for Dental Insurance. Performed Life Reserves Volatility study.

Balanced a $242 million budget to expenses and reimbursements.

Designed internal audit tests and implemented Sarbanes-Oxley during the inaugural year. Worked closely with the parent company Independent Holding Company and the external auditors KPMG.