Supporting enhanced analytics efforts for Fender Digital products and eCommerceResponsibilities:-Product Enhancement: Propose tests to uncover key trends pertaining to user engagement. -Increase Retention: analyze user behavior (content consumption, site usage, search & feedback behavior) to propose data-driven recommendations for reducing customer churn.-Identify high value customers: Analyze eCommerce trends to model customer LTVTools / Platforms: AWS (Redshift, Athena), SQL, Alteryx, Python

Guitarist, composer, session musician, producer. email me at jondriscollmusic@gmail.com if you're interested in hiring me as a freelancer, or for any collaborations.

Focused primarily on the creation and deployment of data analytics products/tools which enable clients to use their data for strategic optimization.•Projects: Attribution Modeling, Segmentation, Media Strategy Optimization, Campaign Performance Analysis•Tools: Python, R, SQL Server, Imala, Spark, Alteryx, Tableau, PowerBI

As a Senior Research Associate, I employ a machine learning based approach to model some of the most complex biological problems in the field. This approach is centered around leveraging vast quantities of experimental data from recent animal studies, and using a combination of supervised and unsupervised AI techniques to better understand how our vaccines function. -employed PCA and k-means clustering to derive the most relevant features from a large (p > 500) set, for inclusion in supervised learning models. -Implemented a cross-validated random forest classification algorithm to predict disease outcome in animal study participants- Created and implemented a codon optimization algorithm which 'translates' a DNA sequence into a form which ensures optimal fitness of our viral vectors-Implemented a novel combination of Naive Bayes and Random Forest algorithms to predict the antigenicity of a completely novel protein sequence, to 67% accuracy

As a Research Associate, I was primarily responsible for the design, construction, and experimental characterization of viral vectors for the purpose of developing the world's first HIV Vaccine. Our approach utilizes a combination of modern genomics, virology, cell biology, and statistics. Some of my accomplishments in this role include:- Producing a GMP-compliant transgenic cell line which will be used to produce a vaccine for phase-I clinical trials- Conduct statistical analysis and produce visualizations for inclusion in presentations, reports, and publications-developing and improving in-house assays which can be used to more effectively characterize biological function