Allison M Leonard

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Allison M Leonard

Allison M Leonard

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Biography

San Jacinto College North - Mathematics

Audit Analytics Specialist Leader (Sr. Manager) at Deloitte
Management Consulting
Allison
Leonard
Friendswood, Texas
Seasoned Financial and Business Analyst with public accounting and public finance experience. Rigorous mathematics background including Masters in Applied Mathematics and published, peer-reviewed research. Diversified, progressive experience in the analysis of complex financial, economic and operational data supporting strategic decision making including risk management, financial planning, forecasting and modeling.

Experience

  • San Jacinto College

    Adjunct Mathematics Instructor

    Allison worked at San Jacinto College as a Adjunct Mathematics Instructor

  • Deloitte

    Audit Analytics Specialist Leader (Sr. Manager)

    Allison worked at Deloitte as a Audit Analytics Specialist Leader (Sr. Manager)

  • Deloitte

    Audit Analytics Specialist Master

    Allison worked at Deloitte as a Audit Analytics Specialist Master

  • City of Houston

    Financial Analyst IV

    Managing Analyst in Analysis and Information Management Group
    • Managed 6 Analytics and Information Management team.
    • Prepared, maintained and monitored $35 million annual operating budget.
    • Collaborated with financial services branch to ensure compliance of revenue and collection records with GAAP, GASB and Ordinance.
    • Fully reorganized branch personnel (~450 employees).
    • Drafted Drainage Ordinance in collaboration with legal team.
    • Created, reconciled and presented Utility Revenue and Collection Reports to Director and Rebuild Houston Steering Committee.
    • Lead big data project with Texas A&M Institute of Renewable Natural Resources.

  • City of Houston

    Manager - Public Finance and Special Projects

    • Managed 8 financial, management and systems analysts in preparing varied financial, operational and risk analyses.
    • Collaborated extensively with legal, finance, Director’s Office and IT, often on sensitive or confidential projects.
    • Participated extensively in municipal bond issuance, variable instrument renewals, disclosure and offering statements.
    • Researched, analyzed and reported on special projects and inquiries including plant and reservoir expansions, work order activity, budgeting.
    • Modeled various financial and operational systems, projections and forecasts including utility rates, debt and financial implications for EPA consent decree negotiations.
    • Acted as point of contact for internal, external and forensic auditors.
    • Served as Acting Division Manager for Billing and Collection Services at Utility Customer Service.

  • City of Houston

    Staff Analyst

    Strategic Analyst for Chief of Staff
    • Identify, analyze and interpret trends or patterns in various complex data sets and present findings to senior executive City leadership.
    • Participated in Six Sigma Green Belt project reducing waste in pothole work order process 50 percentage points.
    • Model operational systems, projections and forecasts for ongoing or proposed projects and ad hoc requests.
    • Coordinate Department Emergency Management process.
    • Appointed as Interim Project Manager for Utility Billing system migration handling ~$1.5 billion in revenues annually.

  • City of Houston

    Financial Analyst III

    Lead Analyst in Analysis and Information Management Group
    • Prepared, maintained and monitored $33 million annual operating budget.
    • Prepared and presented monthly financial analysis for Drainage Utility.
    • Created, evaluated and reported monthly KPIs for executive management.
    • Liaised with internal and external auditors, accounting, legal, and management.
    • Performed impact analysis for governance, policy and procedural changes.

  • Clear Falls High School

    Math Instructor

    • Houston Pathways Initiative Representative for campus.
    • Lead Faculty for Pre-AP Algebra II.
    • AP Calculus and Math Models Instructor.
    • Selected as STAAR/EOC Committee Representative for CCISD

Education

  • University of Houston

    Master's degree

    Applied Mathematics
    Course Work • Probability and Statistics, Numerical Analysis, Applicable Analysis, Real Analysis, Newtonian and Non-Newtonian Fluid Flow, Numerical Methods for Non-Smooth Eigenvalue Problems. Awards • Received Presidential Graduate Fellowship Award for 2007 – 2009. • Teaching and Research Fellowship Recipient at University of Houston.

  • University of Houston-Clear Lake

    Bachelor of Science (B.S.)

    Accounting
    • Completed 42 hours in accounting/finance, 12 hours in statistics, 12 hours in marketing/management including independent studies in both financial reporting, accounting systems and analysis and statistical forecasting. • Teaching Assistant for Undergraduate Statistics.

Publications

  • • A. Caboussat, A. Leonard. Numerical Method for a Dynamic Optimization Problem arising in the Modeling of a Population of Aerosol Particles, C.R. Acad. Sci Paris, 346(11-12), pp 677-680, 2008.

    C.R. Acad. Sci Paris

    A model coupling differential equations and a sequence of constrained optimization problems is proposed to simulate the evolution of a population of particles at equilibrium interacting through a common medium. The first order optimality conditions of the optimization problems relaxed with barrier functions are coupled with the differential equations into a system of differential-algebraic equations that is discretized in time with an implicit first order scheme. The resulting system of nonlinear algebraic equations is solved at each time step with an interior-point/Newton method. The Newton system is block-structured and solved with Schur complement techniques, in order to take advantage of its sparsity. Application to the dynamics of a population of organic atmospheric aerosol particles is given to illustrate the evolution of particles of different sizes.

  • • A. Caboussat, A. Leonard. Numerical Method for a Dynamic Optimization Problem arising in the Modeling of a Population of Aerosol Particles, C.R. Acad. Sci Paris, 346(11-12), pp 677-680, 2008.

    C.R. Acad. Sci Paris

    A model coupling differential equations and a sequence of constrained optimization problems is proposed to simulate the evolution of a population of particles at equilibrium interacting through a common medium. The first order optimality conditions of the optimization problems relaxed with barrier functions are coupled with the differential equations into a system of differential-algebraic equations that is discretized in time with an implicit first order scheme. The resulting system of nonlinear algebraic equations is solved at each time step with an interior-point/Newton method. The Newton system is block-structured and solved with Schur complement techniques, in order to take advantage of its sparsity. Application to the dynamics of a population of organic atmospheric aerosol particles is given to illustrate the evolution of particles of different sizes.

  • • A. Caboussat, A. Leonard. Numerical Method for a Dynamic Optimization Problem arising in the Modeling of a Population of Aerosol Particles, C.R. Acad. Sci Paris, 346(11-12), pp 677-680, 2008.

    C.R. Acad. Sci Paris

    A model coupling differential equations and a sequence of constrained optimization problems is proposed to simulate the evolution of a population of particles at equilibrium interacting through a common medium. The first order optimality conditions of the optimization problems relaxed with barrier functions are coupled with the differential equations into a system of differential-algebraic equations that is discretized in time with an implicit first order scheme. The resulting system of nonlinear algebraic equations is solved at each time step with an interior-point/Newton method. The Newton system is block-structured and solved with Schur complement techniques, in order to take advantage of its sparsity. Application to the dynamics of a population of organic atmospheric aerosol particles is given to illustrate the evolution of particles of different sizes.

  • • A. Caboussat, A. Leonard. Numerical Method for a Dynamic Optimization Problem arising in the Modeling of a Population of Aerosol Particles, C.R. Acad. Sci Paris, 346(11-12), pp 677-680, 2008.

    C.R. Acad. Sci Paris

    A model coupling differential equations and a sequence of constrained optimization problems is proposed to simulate the evolution of a population of particles at equilibrium interacting through a common medium. The first order optimality conditions of the optimization problems relaxed with barrier functions are coupled with the differential equations into a system of differential-algebraic equations that is discretized in time with an implicit first order scheme. The resulting system of nonlinear algebraic equations is solved at each time step with an interior-point/Newton method. The Newton system is block-structured and solved with Schur complement techniques, in order to take advantage of its sparsity. Application to the dynamics of a population of organic atmospheric aerosol particles is given to illustrate the evolution of particles of different sizes.

  • • A. Caboussat, A. Leonard. Numerical Solution and Fast-Slow Decomposition of a Population of Weakly Coupled Systems, DCDS Supplements, 2009(Special), 123--132, 2009. Proceedings of the 7th AIMS conference, Arlington, Texas, May 2008.

    Proceedings of the 7th AIMS conference

    The modeling of the microphysics of a population of atmospheric particles interacting through a common medium leads to the solution of a large system of weakly coupled differential-algebraic equations. An implicit time discretization of the system of differential-algebraic equations is solved with a Newton method at each time step. The structure of the global system and the sparsity of the Newton matrix allow the efficient use of a Schur complement approach for the decoupling of the various subsystems at the discrete level. A numerical approach for the decomposition of the population into fast and slow subsystems is proposed. Numerical results are presented for organic atmospheric particles to illustrate the properties of the method.

  • • A. Caboussat, A. Leonard. Numerical Solution and Fast-Slow Decomposition of a Population of Weakly Coupled Systems, DCDS Supplements, 2009(Special), 123--132, 2009. Proceedings of the 7th AIMS conference, Arlington, Texas, May 2008.

    Proceedings of the 7th AIMS conference

    The modeling of the microphysics of a population of atmospheric particles interacting through a common medium leads to the solution of a large system of weakly coupled differential-algebraic equations. An implicit time discretization of the system of differential-algebraic equations is solved with a Newton method at each time step. The structure of the global system and the sparsity of the Newton matrix allow the efficient use of a Schur complement approach for the decoupling of the various subsystems at the discrete level. A numerical approach for the decomposition of the population into fast and slow subsystems is proposed. Numerical results are presented for organic atmospheric particles to illustrate the properties of the method.

  • • A. Caboussat, A. Leonard. Numerical Method for a Dynamic Optimization Problem arising in the Modeling of a Population of Aerosol Particles, C.R. Acad. Sci Paris, 346(11-12), pp 677-680, 2008.

    C.R. Acad. Sci Paris

    A model coupling differential equations and a sequence of constrained optimization problems is proposed to simulate the evolution of a population of particles at equilibrium interacting through a common medium. The first order optimality conditions of the optimization problems relaxed with barrier functions are coupled with the differential equations into a system of differential-algebraic equations that is discretized in time with an implicit first order scheme. The resulting system of nonlinear algebraic equations is solved at each time step with an interior-point/Newton method. The Newton system is block-structured and solved with Schur complement techniques, in order to take advantage of its sparsity. Application to the dynamics of a population of organic atmospheric aerosol particles is given to illustrate the evolution of particles of different sizes.

  • • A. Caboussat, A. Leonard. Numerical Method for a Dynamic Optimization Problem arising in the Modeling of a Population of Aerosol Particles, C.R. Acad. Sci Paris, 346(11-12), pp 677-680, 2008.

    C.R. Acad. Sci Paris

    A model coupling differential equations and a sequence of constrained optimization problems is proposed to simulate the evolution of a population of particles at equilibrium interacting through a common medium. The first order optimality conditions of the optimization problems relaxed with barrier functions are coupled with the differential equations into a system of differential-algebraic equations that is discretized in time with an implicit first order scheme. The resulting system of nonlinear algebraic equations is solved at each time step with an interior-point/Newton method. The Newton system is block-structured and solved with Schur complement techniques, in order to take advantage of its sparsity. Application to the dynamics of a population of organic atmospheric aerosol particles is given to illustrate the evolution of particles of different sizes.

  • • A. Caboussat, A. Leonard. Numerical Solution and Fast-Slow Decomposition of a Population of Weakly Coupled Systems, DCDS Supplements, 2009(Special), 123--132, 2009. Proceedings of the 7th AIMS conference, Arlington, Texas, May 2008.

    Proceedings of the 7th AIMS conference

    The modeling of the microphysics of a population of atmospheric particles interacting through a common medium leads to the solution of a large system of weakly coupled differential-algebraic equations. An implicit time discretization of the system of differential-algebraic equations is solved with a Newton method at each time step. The structure of the global system and the sparsity of the Newton matrix allow the efficient use of a Schur complement approach for the decoupling of the various subsystems at the discrete level. A numerical approach for the decomposition of the population into fast and slow subsystems is proposed. Numerical results are presented for organic atmospheric particles to illustrate the properties of the method.

  • • A. Caboussat, A. Leonard. Numerical Solution and Fast-Slow Decomposition of a Population of Weakly Coupled Systems, DCDS Supplements, 2009(Special), 123--132, 2009. Proceedings of the 7th AIMS conference, Arlington, Texas, May 2008.

    Proceedings of the 7th AIMS conference

    The modeling of the microphysics of a population of atmospheric particles interacting through a common medium leads to the solution of a large system of weakly coupled differential-algebraic equations. An implicit time discretization of the system of differential-algebraic equations is solved with a Newton method at each time step. The structure of the global system and the sparsity of the Newton matrix allow the efficient use of a Schur complement approach for the decoupling of the various subsystems at the discrete level. A numerical approach for the decomposition of the population into fast and slow subsystems is proposed. Numerical results are presented for organic atmospheric particles to illustrate the properties of the method.

  • • A. Caboussat, R. Glowinski, A. Leonard. Looking for the Best Constant in a Sobolev Inequality : A Numerical Approach , Calcolo, 47(4), 211--238, 2010.

    Calcolo

    A numerical method for the computation of the best constant in a Sobolev inequality involving the spaces H2(Omega) and C0(Omega Bar) is presented. Green’s functions corresponding to the solution of Poisson problems are used to express the solution. This (kind of) non-smooth eigenvalue problem is then formulated as a constrained optimization problem and solved with two different strategies: an augmented Lagrangian method, together with finite element approximations, and a Green’s functions based approach. Numerical experiments show the ability of the methods in computing this best constant for various two-dimensional domains, and the remarkable convergence properties of the augmented Lagrangian based iterative method.

  • • A. Caboussat, R. Glowinski, A. Leonard. Looking for the Best Constant in a Sobolev Inequality : A Numerical Approach , Calcolo, 47(4), 211--238, 2010.

    Calcolo

    A numerical method for the computation of the best constant in a Sobolev inequality involving the spaces H2(Omega) and C0(Omega Bar) is presented. Green’s functions corresponding to the solution of Poisson problems are used to express the solution. This (kind of) non-smooth eigenvalue problem is then formulated as a constrained optimization problem and solved with two different strategies: an augmented Lagrangian method, together with finite element approximations, and a Green’s functions based approach. Numerical experiments show the ability of the methods in computing this best constant for various two-dimensional domains, and the remarkable convergence properties of the augmented Lagrangian based iterative method.