Developed a portfolio of data science projects using regression analysis, classification, unsupervised learning, clustering, and natural language processing.Projects include:S.N.A.P. Chat: Talking about Food StampsExplored the social and economic benefits of the Supplemental Nutrition Assistance Program and the consequences of SNAP restrictions on various demographics and regions.Understanding Depression on RedditPerformed document clustering with non-negative matrix factorization (NMF) and Latent Dirichlet allocation (LDA) on Reddit conversations about depression to identify topics discussed by users who may be affected by the disorder. Topic model scoring successfully suggested the mental health state of users posting in non-depression subreddits.Classifying Cancerous Genetic MutationsBuilt ensemble classification models to categorize the malignancy of genetic mutations based on expertly annotated text from scientific literature and features engineered from genetic sequencing.Movie Rating Prediction with Roger E-botScraped critic ratings and movie production data from the web to build linear regression models predicting how a critic would score a new movie.MTA Turnstile AnalysisExplored New York Census and MTA turnstile data to strategically identify maximal ridership times and stations for a theoretical canvassing campaign directed toward women in technology.

Led development and implementation of analytics products, including interactive dashboards, web-based tools for analysts, and ad hoc data analyses.Identified and assessed new analytics product opportunities, including external offerings and tools to improve internal efficiency.Designed and implement ETL of structured and unstructured data in MySQL and Python.Worked with analyst teams and external clients to develop and manage the analytics product roadmap.Supported analytics team members in identifying and extracting custom data for projects, such as influencer identification.Strategically planned scopes of work for new business and organic growth opportunities.Directed project execution and timelines through training, rollout, and adoption efforts to ensure success of new projects.Created custom measurement plans that tie data sources and dashboards to key metrics and KPIs and outline long-term measurement strategy.Oversaw Technical Analysts.

Studied sensory stimulation augmentation tools for long duration exploration spaceflight.The goal of this project was to perform a literature review and operational assessment of sensory stimulation augmentation techniques for long-duration space flight. Recommendations from this work were used to determine future research priorities by the Behavioral Health and Performance (BHP) Element of NASA’s Human Research Program.

Developed mobile mental wellness assistant application to help people track and manage their mental well-being.

• Played a critical role in the major revision of BCS undergraduate curriculum and culture of teaching• Analyzed data and devised metrics for identifying problem areas• Improved the quantitative rigor throughout departmental course offerings by incorporating programming instruction and mathematical modeling demonstrations• Restructured the curriculum into an organized tiering to alleviate material overlap across classes• Strengthened upper level classes by improving their build on introductory coursework• Assessed and evaluated strategy implementations and performance• Collaborated on the successful application proposal for the d’Arbeloff Fund for Excellence in Education, used to assist in these endeavors• Instructed data-intensive lecture and laboratory courses for undergraduate and graduate students• Developed rigorous curriculum and problem sets for new a course called “Quantitative Methods for Brain and Cognitive Sciences,” which has been identified as an essential part of a contemporaryneuroscience education• Trained Teaching Assistants (TAs) in methods of successful interpersonal communication, many of whom have gone on to gain departmental recognition for their effectiveness in teaching• Served as “Community Convener” liaison between student groups and department administrators• Identified and incorporated new educational tools and strategies, including OpenCourseWare, edX, MITx, Crosslinks, Teaching & Learning Laboratory, and Top Hat Monocle

• Expanded on Undergraduate Research• Created novel optic and genetic tools for visualizing cells; developed experimental assays which have been widely used to study plasticity associated with vision, learning, and memory