benjamin bell

* Building and supporting an ecosystem of entrepreneurship in Chile through the development of a network of high-impact entrepreneurs both nationally and internationally * Worked 1-on-1 with entrepreneur candidates, detailing business model, strengths, and weaknesses in 6-10 page profiles used at International Selection Panel for candidate evaluation and critique * Interviewed entrepreneurs, examining wide variety of businesses for high-impact potential * Organized events, speakers, panels, roundtables harnessing Endeavor’s network to support and encourage entrepreneurship * Led proactive search for new entrepreneur prospects in Southern Chile through research, event attendance, and networking

* Perform data analysis and build dynamic quantitative models to: optimize resource allocation, forecast market movements and long term trends, determine financial feasibility of operational plans, segment customers * Build professional client tools in Excel as deliverables to support strategy implementations * Inform strategy recommendations with qualitative data through client and expert interviews and independent research * Create presentations for use in client meetings, supplier negotiations, and internal knowledge sharing * Selected engagements include: * Coffee and tea worldwide procurement strategy for ~$60B beverage manufacturer * 5-year strategic and operational plan for NYC-based education non-profit * Sales force reorganization for ~$4B beauty products manufacturer

Took ownership of various analyses to drive key insights and contribute to final recommendations for telecommunications and retail clients.

Aided the integration of XO laptops (of One Laptop Per Child) into rural Peruvian classrooms; Consulted to the Peruvian Ministry of Education on the progress and future direction of its OLPC initiative via a detailed report

Pilotly is a consumer insights platform that enables content creators to get detailed feedback rapidly from viewers anywhere in the worldOur research solution is composed of a multi-platform video portal / APIs, interactive engagement tools for viewers, and dynamic reporting for clients. Our platform collects data, processes it and displays it instantly to a personalized dashboard.From YouTube Networks and Major Studios, to Ad Agencies and Indie Creators, we create capital efficiency by providing data that drives more affective content creation and distribution decisions.

Idibon uses world-class natural language processing to help multinational organizations find meaning in unstructured text, in dozens of languages. Built ML models to classify text by category and sentiment for ongoing internal and client projects, including: o EDA: Topic Model corpus (LDA), examine distribution, derive insights to determine categories for classification o Annotation: Build labeled datasets by running crowd-sourced annotation studies, evaluating inter-annotator agreement, accuracy, revising guidelines, iterating o Model Building: Build and Evaluate ML models via cross-validation, build ROC plots, determine optimum model thresholds and seek to improve via more/better data, or changes to model, feature selection o Synthesis: Visualize model results and insights in Tableau dashboard for ongoing client and internal use Performed in-depth comparisons of Idibon’s ML platform and sk-learn models (LogisticRegression, MultinomialNB) in Python, discovered bug in feature selection leading to .3 boost in f-score on given data set

Activities and Societies: Penn Varsity Fencing, Social Impact Consulting Group, Penn Microfinance Club