I'm the owner of One Partial Data, an analytics consulting startup. I build software systems using a unique hybrid of data science and machine learning paradigms to successfully predict and capitalize on trends in the digital advertising and marketing space.

• Provide analytical and data engineering resources for digital advertising agencies• Pilot and support a range of innovative in-house advertising research programs and methodologies under the direction of marketing and advertising leads • Tactics based on predictive analytics, mathematical optimization, and machine learning;• Establish and reorganize agencys' analytical protocol for digital campaigns, including performance (ROAS), campaign personalization, and data visualization • Automate digital campaign strategy, performance, and personalization through custom web applications and APIs• Maintain and support logistical aspects of programmatic campaign management through major platform API’s, including AdWords, DoubleClick, Facebook, Twitter, Instagram, LinkedIn, and Bing• Provide database solutions, including management, creation, and migration for analytical purposes, both locally, and using cloud based solutions (Google Cloud, AWS)

TACTICAL CPG BUSINESS INTELLIGENCE:As the first Data Scientist at L’Oréal, developed robust and scalable research and analytical protocols for the Consumer Market Insights team• Served as the resident research lead for marketing and advertising leads across 4 cosmetic divisions• Particularly focus on scaling the analytical capabilities of the Active Cosmetics Division, providing all campaign measurement and research consultation in-houseMarketing Research Topics: Advertisement Measurement, ROAS Measurement, Programmatic Analytics, Hold Out Testing, Geo-Based Analytics, Sales Forecasting, Social Listening, Offline Sales Lift Analysis, Earned Media Analytics/Optimizations, DTC Analytics (online and owned offline retailers)INNOVATION AND EXECUTION Piloted and supported a range of innovative in-house advertising research programs and methodologies under the direction of the Chief Officers• Empowered brands to seamlessly embrace cutting-edge data-driven advertising and campaign measurement techniques• Successfully developed a range of measurement analyses for the company’s brand portfolio, effectively eliminating needs for costly external measurement vendors• Saved brands an unprecedented dollar value in vendor measurement fees• Tactics based on predictive analytics, mathematical optimization and machine learningBegan the planning and development of a scaled big data analytics pipeline in collaboration with the resident Digital IT team • To be used for big data advertising measurement (ROAS) and personalization, particularly at the user levelLanguages and Tools:• Python, SQL, R, ExcelData Driven Marketing Analytics: • Mathematical Optimization, Machine Learning, Non-Linear Regression Analysis, Time Series Forecasting, Bayesian Hierarchical ModelingData and Data Driven Marketing Platforms:Google Ads Data Hub, Google BigQuery, Google Analytics, Salesforce Data Management Platform (Krux DMP), Amazon Web Services

Responsible for the creation and maintenance of artificial intelligence, machine learning and data mining libraries in Haskell and Python;Acquired, cleaned, and analyzed large datasets to create intelligent agents capable of making genre specific musical decisions based on concepts in Natural Language Processing and Topic Modeling;Proposed, engineered, and executed new system-wide data driven software features, resulting in documented KPI increases of over 200%;Successfully oversaw teams of graduate and undergraduate data science, machine learning, and web dev interns to complete projects in intelligent musical style modeling;Designed, implemented, and launched a large scale Python data science application used to scale company production, user-base, and efficiency practices;Participated in company wide meetings to communicate necessary system changes needed to promote favorable deployments to users;

Assisted in the instruction of graduate and undergraduate courses in interactive computer programming;Courses:Introduction to Programming using Python:Topics included data types, variables, control structures, functions, object-oriented programming theory and basic program design;Introduction to Web Page Design:Course in multimedia webpage design using HTML, CSS and JavaScript. Students learned to create clean and effective HTML and CSS documents driven by JavaScript that combine photos, audio recordings, animations and video;

Participated in HIV/AIDS vaccination research, conducting and leading day to day research experiments, trials, and analyses;Performed statistical analysis and data visualizations on the biological findings from experiments conducted using regression models built in MATLAB, R and Excel;Responsible for implementing daily research methods including protein purification, ELISA, spectrophotometry and maintenance of cell cultures;

Analyzed epilepsy based EEG readings to classify seizure related events;Created scripts to perform statistical analysis on large neurological datasets using in house data analysis software;Created large scale statistical models on years worth of EEG data to both simulate and detect the onset of seizures within hospitalized epilepsy patients;

Designed and developed biological experiments and analyses for cell signaling research within the C. elegans AsH neuron;Independently performed research protocol and statistically analyzed large data sets in MATLAB and Excel;Created analysis reports and data visualizations to present to members of the research groups;Designed and engineered a functional microfluidic chip to be used within future signaling experiments;