FORMAL + INFORMATIVE EDUCATION
LEARN
DARTMOUTH COLLEGE
CLASS OF 2008
COURSEWORK
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Major. Economics modified with Sociology, concentrations in Developmental Economics and Markets & Management
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Minor. English
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Exchange Program. Universidad de Barcelona
ACTIVITIES
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Rugby. 2008 Ivy League MVP, American Rugby News All-American, Treasurer
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Vox Sportswear. Co-Owner
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Center for Research Writing and IT. Writing Tutor
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Alpha Delta Fraternity. Rush Chair
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Dartmouth Culinary Club. Co-Founder
PERU | NON-LABOR INCOME & AGRICULTURAL INVESTMENTS
Analyzed the effect of income sources on agricultural investment. Based on questionnaires from 3,600 rural Peruvian households used regressions to determine that ancillary income (e.g. pension payments, cash transfers) is heavily allocated to agricultural investment, and I proposed how non-profits can effectively aid farmers without giving cash transfers outright. An abridged version of this article is available below (9 pages).
SPAIN | INTERNATIONAL POLICY BRIEFING
Below is a socioeconomic briefing on Spain’s global integration, state policy and socioeconomic performance — an assignment for Sociology of Globalization. A full version is available for download (9 pages).
IT WAS WRITTEN, THEREFORE IT WAS: ORIGINS OF A DARTMOUTH ICON
This essay, which was one of thirty nominated for the Albert Dickerson 1930 Freshman Essay Prize, relates the influence two Dartmouth alumni had on the early stages of the American petroleum industry. It traces their journey from early oil expeditions to a celebratory 100th Anniversary for their expedition. Using first-hand documents, I reveal ways in which their story was altered along the way. A full version is available to download below.
LA IMPOSICION DE LA CULTURAL ADVANZADA
THE IMPOSITION OF ADVANCED CULTURE
This paper views the conflict between advanced and traditional cultures in two Spanish novels, El reloj de Bagdad and Los guerreros de bronce. I wrote this paper during my exchange program at the Universidad de Barcelona.
COURSERA MOOCs
I'm a fervent believer in education reform and, as part of this interest, I have enrolled in several MOOCs, particularly through Coursera. Though I may not always complete the courses (due to my actual job), I do intend to continue my education through this channel.
PRACTICAL MACHINE LEARNING
JOHNS HOPKINS UNIVERSITY
This course provides a basic grounding in concepts such as training and tests sets, overfitting, and error rates. The course will also introduce a range of model-based and algorithmic machine learning methods including regression, classification trees, Naive Bayes, and random forests.
REGRESSION MODELS
JOHNS HOPKINS UNIVERSITY
This course covered regression analysis, least squares, and inference using regression models. Special cases of the regression model, ANOVA and ANCOVA were covered as well. Analysis of residuals and variability will be investigated. The course covered modern thinking on model selection and novel uses of regression models including scatterplot smoothing.
DATA SCIENCE IN REAL LIFE
JOHNS HOPKINS UNIVERSITY
As part of the Data Science Executive Specialization, this is a focused course designed to rapidly get you up to speed on doing data science in real life. In this one-week course, we contrast the ideal with what happens in real life. By contrasting the ideal, you will learn key concepts that will help you manage real-life analyses. The course was taught at a conceptual level for active managers of data scientists and statisticians.
MANAGING DATA ANALYSIS
JOHNS HOPKINS UNIVERSITY
This course described the process of analyzing data and how to manage that process. We discussed several aspects of the analyst lifecycle: exploratory data analysis, inference, formal statistical modeling, interpretation, and communication. In addition, we will describe how to direct analytic activities within a team and to drive the data analysis process towards coherent and useful results.
BUILDING A DATA SCIENCE TEAM
JOHNS HOPKINS UNIVERSITY
In this one-week course, we will cover how you can find the right people to fill out your data science team, how to organize them to give them the best chance to feel empowered and successful, and how to manage your team as it grows. This is a focused course designed to rapidly get you up to speed on the process of building and managing a data science team.
CLOUD COMPUTING CONCEPTS, PART 1
UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN
This course teaches fundamental distributed computing "concepts" for cloud computing. Some of these concepts include: clouds, MapReduce, key-value/NoSQL stores, classical distributed algorithms, widely-used distributed algorithms, and scalability.
FOUNDATIONS OF BUSINESS STRATEGY
UNIVERSITY OF VIRGINA
In this course, we explored the underlying theory and frameworks that provide the foundations of a successful business strategy and provide the tools you need to understand that strategy: SWOT, Competitor, Environmental, Five Forces, and Capabilities Analyses, as well as Strategy Maps. As a final project, I applied these tools on a market assessment for Beats Music, which was months from launch during the course.
TWO-SPEED IT: HOW COMPANIES CAN SURF THE DIGITAL WAVE, A BCG PERSPECTIVE
CENTRALE SUPÉLEC + BCG
The Boston Consulting Group has developed a business approach that allows IT to shed off its appearance of a heavy cost center and to adopt a new, more realistic persona as a quality service provider, partnering with users and the management. BCG experts teach why and how to manage an IT department as a business in order to transform a company and adapt it to a digital world.