data analytics club profile 2016 - 2017
TRANSCRIPT
WELCOME to the CLUB PRESENTATION.
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Knowledge Sharing.Organize speaker sessions and provide structured events to learn about data analytics.
Real World Application.Participate in projects and case competitions and apply the skills learnt in class.
Job Treks.Connect Simon Students with companies and leading practitioners in data analytics.
Club Objectives
MissionFacilitate learning of data analytics and represent Simon through events, activities, and competitions.
VisionBe the best partner of the school in its effort to achieve the reputation as a school with prestigious, analytics-based, and data-focused business programs.
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Club Goals
For current academic year 2016-2017: Achieve 100% placement rate for club members who are looking for a job or an
internship Initiates relationships with companies that will sponsor a data analytics
competitionLong Term (what sustaining legacy do you want your club to have): Create a good place where recruiters can find many talented, passionate, and
dedicated students with a combination of data analytics skills and deep business knowledge.
Participate regularly in data analytics events and competition, and organize its own data analytics case competition, in collaboration with other school clubs and companies.
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What’s in it for you?
01 HONE.your programming, design and communication skills.
02 UNDERSTAND.the implications of big data and apply analytical principles to business cases.
03 PARTICIPATE.in forums with business leaders and in case competitions hosted by the club.
04 TRAVEL.to NYC and Bay Area career treks and meeting with advisory board members.
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Leadership Board
Founder & Co-presidentZakia Barnes
MBA, Class of 2017
Founder & Co-presidentHizkia FebiantoMBA, Class of 2017
Founder & VP of MarketingMohammed Osman Saeed
MS BA, Class of 2016
VP of FinanceJeremy HobbsMBA, Class of 2017
VP of EventsLakshman Narayanan
MBA, Class of 2017
VP of CommunicationChris Li
MBA, Class of 2017
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SEPTEMBERClub member registration,
NYC Analytics Day
Fall Projects Introduction
Workshops and Guest Lectures.
Analytics Projects Kick-off
OCTOBER
NOVEMBERGuest Lectures. NYC Company
Visits (1010 Data, Ogilvy, GroupM,
Publicis)*
Tech Trek (West Coast)
DECEMBER
JANUARYAnalytics Project
Presentation Mock Interviews
with Alumni
Tableau Workshop Local Company
Visits Job Search
Consultation Analytics Competition
(Tentative)MARCH /
APRIL / MAY
Club activities for the year
*to be confirmed
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Analytics Project Timeline
IntroductionProject introductions and selection.01
WorkStart working on your projects. 02
PresentProject Presentations
03
Q3 2016 Q4 2016 Q1 2017 Q2 2017
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Board PositionsThe following board positions are available
VP of Operations:Coordination with clients, senior consultants and professors
VP of Finance:Budgeting, reimbursement coordination, record keeping.
VP of Corporate Engagement:Reach out to companies and recruiters and promote the club.
VP of Marketing:Handle social media and send newsletter. Create and manager the club’s brand.
VP of Competition and Events:Coordinate events and build partnerships.
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Projects, Fall 2016Vanpool Demand and Planning ModelDescription:
The City of Rochester is planning to launch a vanpool service targeting low-income residents of the City that will provide transportation between neighborhoods and workplaces. In order to determine the feasibility of such a model, we need to develop a better sense of the potential demand for such a service using publicly available data sets that give information on the geography of residency and employment and on the household characteristics of workers (e.g., transportation modes used, transportation spending, commute time, vehicle ownership). Specifically, we need to model the potential for routes wherein there are at least 10 Rochester residents per route who live and work in approximately the same respective geographies and are likely to sign up for a vanpool service. In addition, the model could be extended to not just estimate existing demand but also look at potential demand in the form of resident-employer relationships that do not yet exist but could be enabled through a vanpool.
Primary objective: Determine the magnitude (in number of routes) and geographic distribution of estimated demand (based on both existing and potential resident-employer relationships) for vanpool service in the City of Rochester.
Primary data sources: Census LODES; Census ACS
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Projects, Fall 2016
City of Rochester Survey Data Exploratory AnalysisDescription:
The City of Rochester’s Office of Innovation and Strategic Initiatives recently performed a door-to-door survey in an area of the City that is home to approximately 22,000 residents in order to inform local anti-poverty strategy and improve services for low-income and unemployed individuals. The survey was able to reach a large (n = 444), demographically representative sample of residents, and the initial findings have been put online in the form of a report and interactive dashboard. The analysis that has been performed to date, however, is quite shallow and consists mostly of simple reporting of aggregate responses. This project would consist of performing much deeper analysis of the survey data to identify relationships between responses to different questions and demographic categories. There is also the potential to extend the analysis by connecting the survey data to other sources, such as the Census ACS, in order to produce deeper insights.
Primary objective: Identify key patterns within the survey data with a particular emphasis on those that would indicate potential predictive or causal relationships between question responses and poverty and/or employment status.
Primary data sources: City of Rochester survey data; Census ACS
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Projects, Fall 2016
Social Media Description:
Publicis is a global marketing agency which designs and implements marketing campaigns for world-class companies, such as Heineken, P&G, Nestle, Ubisoft, Citibank, and Coca-cola. To make the campaigns reach as many viewers as possible, Publicis constantly monitors trends and topics on social media. The team uses data generated from social media to find out how social media can bring value to its clients. Data analytics also gives the team many ideas for new campaigns for its clients. The Head of Global Analytics Team for Citibank challenges the Data Analytics Club to propose some ideas on how to use social media analytics to give values for companies. If the idea is interesting and feasible, Publicis will give necessary non-proprietary data to the club for the analysis.
Primary objective: Identify how social media can be use to generate values for companies and their brand.
Primary data sources: Social media data, supporting non-proprietary data from Publicis
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MembershipApplication Period: September 9 – 16, 2016
Membership Fee: 1 Year - $60 2 Year - $99Fill the application through this link: https://form.jotform.com/62476220700144
Send your payment via: Venmo – to @Hizkia-Febianto QuickPay – to [email protected] confirm your payment via [email protected]
Please pay before Sept 16 to be eligible for the membership.
