Data Science
Previous Industry Work
TiVo – Senior Data Scientist Built custom analytics solutions designed to gauge the effectiveness of completed client ad campaigns. Incorporating both TiVo set-top-box viewings data as well as 3rd party data, these custom reports calculated a variety of advertising metrics including ROI, reach, conversion, GRP, frequency distribution. These reports allowed for a high degree of granularity, allowing clients to calculate these metrics for a fine-tuned combination of different types of ad exposures in order to better pinpoint the ad airing dates, times, networks, etc. that had the most impact. Created automated custom analytics tools. These tools were designed to automatically generate flexible custom analytics reports for future clients to assess their past ad campaign effectiveness. Worked with nonlinear probabilistic reach optimization tools. These tools were used to select the optimal selling titles for a client to place their future commercial ad spots on such that probabilistic target reach was maximized. Techniques used: linear and nonlinear programming, regression, hypothesis testing Programs/languages used: Python, SQL, Hadoop, AWS MaxPoint Interactive – Data Scientist Developed collaborative filtering models using matrix factorization techniques to predict campaign success. Developed mathematical models to predict likelihood of user conversion. Techniques Used: classification, support vector machines, collaborative filtering, matrix factorization methods, clustering, Bayesian analysis Programs/Languages Used: Python, SQL Centice Corporation – Data Scientist Developed, implemented, and tested signal processing algorithms using statistical and mathematical techniques to identify presence and concentration of narcotics in an unknown substance by analyzing the substances’ unique Raman spectral fingerprint. Techniques used include: classification, cluster analysis, model selection methods, image reconstruction, Bayesian analysis. Techniques Used: Analytics, Classification, Mixture Analysis, Chemometrics, Signals Processing, Spectral Analysis, Noise and Baseline Correction, Data Mining, R&D Programs/Languages Used: Matlab, Excel, SQL, Python
Previous Industry Work
TiVo – Senior Data Scientist Built custom analytics solutions designed to gauge the effectiveness of completed client ad campaigns. Incorporating both TiVo set-top-box viewings data as well as 3rd party data, these custom reports calculated a variety of advertising metrics including ROI, reach, conversion, GRP, frequency distribution. These reports allowed for a high degree of granularity, allowing clients to calculate these metrics for a fine-tuned combination of different types of ad exposures in order to better pinpoint the ad airing dates, times, networks, etc. that had the most impact. Created automated custom analytics tools. These tools were designed to automatically generate flexible custom analytics reports for future clients to assess their past ad campaign effectiveness. Worked with nonlinear probabilistic reach optimization tools. These tools were used to select the optimal selling titles for a client to place their future commercial ad spots on such that probabilistic target reach was maximized. Techniques used: linear and nonlinear programming, regression, hypothesis testing Programs/languages used: Python, SQL, Hadoop, AWS MaxPoint Interactive – Data Scientist Developed collaborative filtering models using matrix factorization techniques to predict campaign success. Developed mathematical models to predict likelihood of user conversion. Techniques Used: classification, support vector machines, collaborative filtering, matrix factorization methods, clustering, Bayesian analysis Programs/Languages Used: Python, SQL Centice Corporation – Data Scientist Developed, implemented, and tested signal processing algorithms using statistical and mathematical techniques to identify presence and concentration of narcotics in an unknown substance by analyzing the substances’ unique Raman spectral fingerprint. Techniques used include: classification, cluster analysis, model selection methods, image reconstruction, Bayesian analysis. Techniques Used: Analytics, Classification, Mixture Analysis, Chemometrics, Signals Processing, Spectral Analysis, Noise and Baseline Correction, Data Mining, R&D Programs/Languages Used: Matlab, Excel, SQL, Python