Windfall provides machine learning services for commercial and non-profit organizations; specifically, the company helps marketing departments optimize their return on ad spend and allows sales teams to identify their most lucrative leads.+ Led exploration and testing of the Vertex AI Feature Store, creating a demo to recommend its usage+ Created and deployed software in Python to help other data scientists generate visualizations to assess the performance of models+ Created and deployed Python-based application to easily compare models across retrains + Led deployment and release of application to automate exploratory data analysis prior to development of custom models+ Led unit and integration testing of proprietary machine learning programming libraries+ Developed application to automate the creation of slide shows used by data science and client success team members in presenting models to customers and stakeholders+ Developed marketing models to help commercial organizations determine which demographics to target+ Built custom predictive models for non-profits to help them understand which contacts of theirs to target+ Developed model to cluster US households based on wealth and demographic data+ Worked with engineering and client success to debug failing models in production via analysis of log files in Kubernetes+ Participated in code review of models and applications created by other data science team members

+ Developed, simulated, and deployed algorithm used in production to sort search results to optimize target KPIs+ Developed predictive model to determine likelihood of a member to make an ecommerce purchase within the next 60 days based on their digital footprint + Developed algorithm using natural language processing techniques to classify reviews left by customers+ Conducted regression analysis on Net Promoter Score (NPS) survey data to understand attributes of satisfied customers in contrast with unsatisfied customers+ Completed market basket analysis (association rules) to determine which products are purchased together+ Developed, tested, and deployed model to predict likelihood of paid members renewing+ Developed RFM (recency, frequency, monetary) algorithm to determine search listings order for ecommerce searches+ Constructed Gaussian mixture models to analyze time between visits + Developed process to automatically summarize reviews left for service providers using latent semantic analysis techniques+ Conducted seasonality analysis and build process to generate thousands of seasonality indices to enable calculation of a wide variety of seasonally adjusted metrics+ Created data visualizations in Tableau to present findings to executives and senior managers+ Created a chatbot for Angie's List with three other employees and submitted it to the AWS chatbot challenge+ Developed documentation process for data science team+ Mentored others in programming

The candidate worked within the search marketing team to identify opportunities to improve SEO rankings, communicate results to stakeholders via data visualization, and to identify opportunities in SEM campaigns based on a variety of data sources. + Developed attribution model to quantify the value of an SEO visit+ Designed and built custom dashboards in R and MicroStrategy using Google Search Console, Google PageSpeed Insights and Omniture SiteCatalyst APIs to identify areas of improvement for SEO initiatives+ Developed all aspects (code, unit tests, documentation) of the gpagespeed R package to help teams apply the Google Page Speed API to evaluate opportunities for improving speed performance+ Wrote queries in Splunk to identify SEO opportunities based on appearances of search bots in log files + Conducted keyword research using Brightedge to identify SEO opportunities + Created reports using Business Objects and R to identify opportunities for SEM campaigns+ Analyzed data using R to identify customer segments and opportunities for marketing campaigns + Conducted exploratory data analysis using R to uncover user behavior patterns that lead to offline purchases + Created reports to audit display ads shown on site using Business Objects+ Translated business requirements from product owners to technical specifications for data warehouse and business intelligence team to facilitate a customer-facing reporting application built in Tableau+ Provided developers with technical requirements for Omniture Site Catalyst implementation

At Zacks Investment Research, the candidate worked as a project manager who helped shape the company’s online brokerage initiative and crowdfunding platform products. He reported directly to the Chief Technology Officer in this role, and was responsible for ensuring projects were completed on time and to the satisfaction of product owners. Below are the candidate’s key accomplishments in his role as Technical Project Manager:+ Translated business objectives of upper management executives into projects and technical tasks for software developers, designers, copywriters, and search marketers+ Resolved conflicts and built consensus amongst stakeholders in different departments+ Led daily technical project meetings (a.k.a. scrum “sprint” sessions) with developers and designers around the world (conducted via Skype) to resolve issues and ensure project stayed on track+ Created wireframes and mockups in HTML and Photoshop to illustrate requirements to technical staff + Served as Drupal site builder, coordinating with outsourced Drupal designers and developers and selecting open source Drupal modifications to utilize within each project+ Used Google Analytics to evaluate impact of features and technical changes, and to determine priorities+ Selected outsourced technology firms with available budget and managed relationship with them+ Assist with execution and analysis of email marketing campaigns via the web-based email marketing application Silverpop

InformedTrades.com is an online community dedicated to helping individuals learn to trade the world’s financial markets. It is a small business co-founded with one other person; the candidate was the principal operator, with the other business partner acting primarily as a passive investor. The candidate discontinued working full-time on the site in June of 2012. Below are the candidate’s key accomplishments as principal operator of InformedTrades:+ Grew business to over $350,000 USD in revenue in 5 years with less than 2 full-time employees+ Grew site to over 45,000 registered members and 43,000 YouTube subscribers+ Established and implemented search engine optimization strategy and social media strategy to establish recurring traffic sources with no recurring advertising costs+ Coded HTML, CSS, and JavaScript to help create desired user experience+ Wrote SQL queries to find and resolve bugs in application + Conducted analysis of stocks and created visualizations using R (ggplot2)+ Created all visual graphics and infographics for site using Adobe Photoshop and stock photography+ Configured and monitored Google Analytics to evaluate and determine marketing campaigns+ Managed small advertising campaigns on Google Adwords, YouTube, and Facebook+ Defined and implemented A/B tests using Optimizely+ Established software development strategy centered around leveraging open source software to reduce software development costs to near zero+ Outsourced work to developers as needed, providing them with project requirements+ Selected hosting provider and managed relationship with them+ Hired and managed interns to conduct simple tasks

Forex Capital Markets (FXCM) is the world’s largest online retail currency brokerage firm. The candidate was employee #39 in January of 2002; upon his departure in mid-2006, the company had over 550 employees. Below are the candidate’s key accomplishments during his time at FXCM:+ Helped grow marketing department from 2 to 19 full-time employees, serving as second in command to Chief Marketing Officer and managing a staff of designers, developers, copywriters, search marketers, media buyers, and currency market analysts+ Interviewed and hired over 20 marketing and sales staff+ Led establishment of the firm’s premium education division, growing it to over $500,000 in annual revenue upon my departure+ Selected and managed implementation of email marketing technology (Eloqua) and rules-based automated email campaigns to increase account openings by email by 13%+ Led implementation of analytics systems using Salesforce, Google Analytics, Eloqua, and proprietary systems to enable calculation and optimization of customer acquisition costs+ Assisted in development and execution of search marketing strategy via analysis of visitor traffic, helping increase the firm’s visitors from non-paid search queries by over 50%+ Mediated employee relations and resolved disputes between staff members