Econometric/Stat. Modeling, SPSS, Stata, SAS (Basic), Project Mgmt.
Resume:
TRINA DAS
*** ******* ****. *******, ** *****
E-Mail: *********@*****.***
PROFESSIONAL SUMMARY
Over ten years of academic and professional experience in predictive analytics that includes da ta
mining, correlation analysis, multivariate regression modeling, regression models with categorical
dependent variable, time series analysis as well as other advanced statistical and econometric
modeling techniques.
Nine years’ experience developing, implementing, and managing complex strategic predictive
modeling projects.
Proven track record of multitasking with ability to prioritize, manage projects efficiently, meet
project deadlines, and exceeding client expectations.
Excellent at handling stress and managing time.
Able to present statistical and econometrics concepts and outcomes to both technical and non-
technical audiences.
Able to build and manage client relationships and have over six years’ experience in direct
consultation.
Strong communication, interpersonal, and organization skills.
WORK EXPERIENCE
MAGUIRE ASSOCIATES, INC (March 2005 Present)
Vice President
Research Associate
Research Assistant
Maguire Associates is a private research-based consulting firm specializing in higher education. Joined
the company in 2005 and since have been promoted to positions of increasing responsibility from Research
Assistant to Research Associate and eventually to the position of Vice President, over the past nine years.
Research Assistant job duties involved data acquisition, performing coding, cleaning, and merging
functions to prepare the data for building predictive models as well as to build models and distribute
institutional funds for colleges and universities. As a Research Associate, managed projects and client
relationships in addition to building strategic financial aid models. Currently as Vice President, engaged
in various functions involving project sales, consulting, building and managing client relationships,
management and implementation of strategic financial aid leveraging predictive modeling projects for
important and selective client institutions, quality control, project assignments, supporting enrollment
management opportunity analysis engagements, and managing recruitment efforts for the predictive
modeling team.
Responsibilities:
Development, Implementation, and Management of Strategic Financial Aid Leveraging Predictive
Modeling Projects –
Manage and build complex strategic financial aid leveraging predictive models to identify
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key drivers for enrollment, measure price sensitivity, and develop trade-off scenarios for
client institutions illustrating the effects of institutional grant aid allocations and different
pricing options on enrollment goals, diversity, net revenue, and institutional aid budgets.
Monitored and executed distribution of institutional funds and scholarship awards for
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clients.
Perform advanced projection analysis forecasting the effects of implemented strategies to
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track the key performance indicators for the client related to enrollment, academic,
composition, and budgetary goals.
Prepare presentations, analytical memorandum, and reports for clients.
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Consulting and Project Sales–
Provide enrollment management consulting by analyzing client institution’s performance
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from historical data and reports.
Deliver on-site presentations reporting outcomes and explaining key ta keaways to senior
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administrators at colleges and universities.
Engage in weekly or bi-weekly conversations with clients to explain the methods employed
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and the projected outcomes of the model, discuss st rategies, and respond to their questions
and inquiries.
Participate and contribute in the account reviews of current clients to explore and cultivate
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new business opportunities for the company.
Play an active role in the new business generation process by responding to RFPs and
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writing proposals for predictive modeling projects as well as by leading sales presentations to
prospective clients.
Conduct enrollment management assessment/opportunity analysis –
Provide verbal and/or written feedback and recommendations to institutions on their current
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strategies, resource allocations and expenditures, staffing levels, and operations in the areas
of admissions and financial aid. This process involves an on-site visit to meet the senior
leadership team, admissions and financial aid staff at the institution as well as conduct focus
groups with faculty and current student s to carefully examine the institution’s operations,
processes, and systems.
R & D Initiatives –
Played a key role in the conceptualization, development, and implementation of the model to
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predict first-year student retention as an extension to the financial aid leveraging model.
Administrative & Supervisory duties –
Responsible for quality assurance of predictive modeling projects, by regular rev iew of the
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work of the analysts, to ensure proper implementation of the models for seamless internal
operations and client satisfaction.
Mentor and serve as a resource to Junior Analysts/Research Assistants and
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Analysts/Research Associates.
Oversee staff assignments of predictive modeling projects.
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Lead a team of ten analysts and consultants in a weekly discussion on an array of
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econometric, statistical, and strategic issues on current projects and explore new and
alternative techniques to address challenging and thought provoking model related issues
posed by clients.
Manage hiring efforts for the modeling team from evaluating applications for prospective
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new hires, conducting preliminary interviews, coordinating on-site interviews, gathering
feedbacks from candidate references and following up with the selected candidate with an
offer.
Accomplishments:
Annually contribute close to $1 million towards the gross revenue of the company by managing, on
average, 8-10 predictive modeling contracts.
Entrusted with and given increased levels of responsibility with some of the most important and
selective clients of the firm.
Play a significant role in the renewal process of financial aid modeling contracts every year by
assisting clients reach their desired outcomes and providing them with key recommendations at
critical decision points during their annual engagement with the firm.
Contributed to improving the content and features of client deliverables, engineered new customized
approaches to meet client requests of receiving the data and other deliverables, and explored
innovative ways to address client inquiries related to the predicted outcomes.
Developed predictive models to identify key factors influencing student success and retention,
cohorts who are more at-risk than others and devised ways to predict persistence using demographic,
academic and financial characteristics which provided valuable information to employ programs and
strategies to follow students during their entire time at the institution and reduce attrition by
appropriate and timely intervention.
EDUCATION
Ph.D., Economics
2010
Clark University, Worcester, MA
MA, Economics
2004
Clark University, Worcester, MA
MSc, Economics
2002
University of Calcutta, India
BSc, Economics
2000
University of Calcutta, India
COMPUTER AND SOFTWARE SKILLS
Proficient in Microsoft Office (Word, PowerPoint, Excel and Outlook)
Proficient in SPSS.
Sound knowledge of STATA.
Working knowledge of SAS.
REFERENCES
Available upon request.
Contact this candidate