Experienced Quantitative Professional

J. ANDREW HOWE, PHD

+90-539-***-**** • *******@*****.***

Experienced Quantitative Professional

Produce actionable analytic insights to solve complex challenges and improve business performance

Proven expertise in the development of statistical models and methodologies designed to accurately predict, quantify, and forecast vital business data while providing enhanced reporting capabilities, equipping decision makers with clear results, innovative recommendations, and customized technology tools. Leverage excellent communication and interpersonal skills to drive collaboration, build consensus, and inspire positive change across start-up and established organizations spanning multiple markets and industries.

Statistical Analysis & Forecasting / Data Mining & Modeling / Algorithms & Predictive Models

Financial Risk Modeling / Business Processes & Analytical Solutions / Database Development

EDUCATION AND CREDENTIALS

Doctor of Philosophy in Statistics, 2009

- University of Tennessee, Knoxville, Tennessee

- Doctoral Thesis: A New Generation of Mixture-Model Cluster Analysis with Information Complexity and the Genetic EM Algorithm

Master of Science in Statistics, 2007

- University of Tennessee, Knoxville, Tennessee

Master of Business Administration, Concentration in Finance, 2002

- Keller Graduate School of Management, Newark, California

Bachelor of Science in Applied and Pure Mathematics, Minor in Physics, 1997

- California Baptist University, Riverside, California

CERTIFICATION

Energy Risk Professional – Global Association of Risk Professionals (2015)

VOLUNTEERISM

European Journal of Pure and Applied Mathematics, Executive Editor

TECHNICAL PROFICIENCIES

Platforms: Windows, Ubuntu Linux

Tools: Microsoft Office (Excel, Word, Outlook, PowerPoint, SharePoint), Palisade Decision Tools Suite & @RISK, Tableau, PHDWIN, Crystal Ball, ZE Power ZEMA, Scientific Workplace, SPSS, SAS

Programming: MATLAB, Python, SQL, LaTeX, VBA, VB, APL, C, C++, Java, ASP, HTML, Octave, R

Databases: Microsoft SQL Server, MySQL, Microsoft Access, Oracle

PROFESSIONAL EXPERIENCE

TransAtlantic Petroleum, Istanbul, Turkey

Manager of Data Architecture, Reporting, & Analytics (6/2010 – 3/2015)

Promoted through roles of increased scope and accountability during tenure with this multinational company, advancing from Corporate Analyst to Senior Business Systems Analyst before assuming current role.

Partner with executive leadership team, presenting meaningful, data-driven insights (generated by custom-built data-based reporting and analytics systems) relevant to all aspects of business operations with the long-term goal of elevating staff productivity, increasing process automation, and maximizing cost efficiency. Leverage data warehouses to develop applications aligned with business needs; customized tools and reports (including operational scorecards and E&P financial reporting packages) to manage ad-hoc reporting and analysis of financial and operational data.

- Integral member of the core design team for conglomerate-wide implementation of SAP with accountability for developing FICO structures to improve current cost center accounting and reporting as well as seamless migration of existing custom financial reports.

- Capitalized on transition to SAP to increase granularity of cost and profit center structures, enabling enhanced analysis and reporting of expenses and revenues (including monitoring of P&L on individual wells, reserve fields, strategic groups, and regions as well as analysis of SG&A expenses by functional group in each department).

- Created a comprehensive personnel tracking and reporting database application to consolidate conflicting and inaccurate employee data from multiple locations across Turkey, Morocco, and the US.

- Developed the Integrated Management Information System (IMIS), a business intelligence database system that integrates reporting from financial, operational, production, and ownership data warehouses.

- Overhauled the budgeting process, replacing an inconsistent, manual effort based on guesses and assumptions with an automated, long-term budgeting system utilizing operational plans and petroleum field reserve volume estimates from PHDWIN and Schlumberger Merak PEEP.

- Designed and deployed an invoice generation database application that produces reports automatically and exports accounts payable and receivable data directly to accounting systems; database eliminated previous process with five staff members and high error rates.

- Rolled out a suite of reports utilizing automated, rules-based data extraction queries, providing vital information on exploration activities and serving as a key source of project status and progress data for operational and financial management teams.

Tennessee Valley Authority, Chattanooga, Tennessee

Specialist, Energy Market Strategy (9/2008 – 5/2010)

Instituted advanced methods for statistical and simulation modeling to significantly enhance predictive analytical and data mining capabilities for this utility company serving more than nine million customers.

Recruited by a business segment accountable for $4B+ to develop data mining models and conduct statistical analysis of fuel commodity prices and power price forecasts; authored technical memos reporting research results.

- Designed predictive simulation models for total system power load and hydrological power generation integrating seasonal effects on levels and variability to assess the impact of multiple variables (forecast weather and economic conditions, for example) on power generation costs.

- Strengthened the company’s $1.4B financial trading program by developing predictive models for fuel commodity prices, providing heuristic guidelines for placing hedging purchases and enabling traders to meet hedge targets up to 10 years in advance.

- Drove a significant reduction in over-forecasting of power requirements (and associated costs and maintenance schedules caused by unnecessary dispatch of power plants) by uncovering major seasonal biases through statistical analysis of hourly system power load forecasts.

University of Tennessee, Knoxville, Tennessee

Teaching Assistant (9/2005 – 8/2008)

Instructed students within the Department of Statistics, Operations, and Management Science.

Mentored and coached graduate students and peers in mathematical, statistical, and programming concepts. Worked closely with faculty on research into statistical data mining techniques.

- Collaborated with financial reinsurance company to develop a Markov Chain capital adequacy model to simulate large portfolios of CDOs, built on industry-standard credit ratings transition modeling techniques, with a complex set of stress tests and scenario analyses. This was the single-most important tool for the business, as it was needed to demonstrate to rating agencies that the firm would maintain sufficient liquidity to meet future obligations; as a result, major ratings agencies granted the firm high ratings.

- Served as trusted resource for students and faculty alike with respect to developing algorithms in MATLAB, authoring technical articles with LaTeX, and understanding of general statistical principals.

Broadlane Incorporated, Oakland, California

Business Analyst (6/2003 – 8/2004)

Expertly translated business requirements into database structure and application code, spearheading key workflow enhancements for this supplier of medical equipment and supplies.

Charged with elevating the efficiency of the contracting process, tackling a disjointed system with essential data spread out across spreadsheets, electronic documents, and hard copies (preventing efficient collection of all contract data for product families). Partnered with team of business analysts to learn existing workflows, analyze procurement organization, gather user requirements, and present strategic recommendations to senior leadership team.

- Collaborated with team of business analysts to model existing process workflow and implement critical changes aligned with user/management requirements, consolidating data from multiple sources into one, comprehensive repository.

- Created scorecard reports based on the workflow application to accurately track performance of the contracting process and uncover potential issues; scrutinized metrics such as time elapsed between product evaluation and contract signing to improve efficiency and expedite cost savings for clients.

Golden Gate Financial Group, San Francisco, California

Quantitative Systems Engineer (2/1999 – 1/2003)

Substantially improved data management and decision-making processes through the design of innovative modeling systems and databases for this boutique investment firm with a $400M investment portfolio.

Participated in data mining of global stock indices and equities, applying mathematical and statistical techniques to create predictive algorithms for trading. Developed and deployed customized databases, spreadsheets, and applications to improve data analysis and reporting as well as process automation.

- Independently developed a robust allocation system comprised of 20 trading models diversified by instrument, technology, source, and frequency; system assessed a weight for each model based on performance to improve profitability while reducing volatility.

- Created a decision support system to facilitate hedge fund selection based on user-defined criteria; successfully diversified portfolio to achieve market neutrality by enabling historical analysis of “baskets” of funds with varying strategies and risk levels.

- Enhanced the existing, custom-developed modeling research system by incorporating new analytical methods for calculating and reporting historical model results (spanning multiple time periods), adaptive model scoring, converting and normalizing data into analyzable signals, and automatic data-adaptive search through model parameter space.

- Improved trading flexibility and profitability by developing advanced, multi-family trade calculation and generation systems, enabling automated trade allocation by investor for diverse portfolio components and supporting firm-wide performance consistency.

Additional relevant experience as Adjunct Professor at S P Jain Global School of Management, Founding Partner of Risk Dynamics Consultancy, Contract software developer for Attain Capital Management, and Data Support Analyst for StarMine Corporation.

SELECTED PUBLICATIONS

- J. Andrew Howe. Simulation Modeling of a Thrown Ball Bouncing Nonlinearly across a Grid of Cups. Applied Mathematics and Computation. Vol 253, 2015.

- J. Andrew Howe, Hamparsum Bozdogan. Flexible Generalized Mixture Model Cluster Analysis with Elliptically-Contoured Distributions. Journal on Pattern Recognition. Vol 1, No 1, 2014.

- J. Andrew Howe, Chris Humphries. Constrained Cost Optimization Under Uncertainty for an Incompletely-Connected Electric Utility System. Istanbul University Journal of the School of Business. Vol 42, No 2, 2013.

- J. Andrew Howe, Hamparsum Bozdogan. Robust Mixture Model Cluster Analysis Using Adaptive Kernels. Journal of Applied Statistics. Vol 40, No 2, 2013. Published online November 2012.

- Hamparsum Bozdogan, J. Andrew Howe. Misspecified Multivariate Regression Models Using the Genetic Algorithm and Information Complexity as the Fitness Function. European Journal of Pure and Applied Mathematics. Vol 5, No 2, 2012

- J. Andrew Howe. Simulating from Irregular Data: Kernel Carlo Simulation. Journal of Statistical Computation and Simulation. Vol 83, No 3, 2013. Published online September 2011. DOI:10.1080/00949655.2011.615840.

- J. Andrew Howe, Eylem Deniz Howe. Hybridizing Statistical Computation with SAS and MATLAB. Technical paper published on MathWorks File Exchange. January 2011.

- Caterina Liberati, J. Andrew Howe, Hamparsum Bozdogan. Data Adaptive Simultaneous Parameter and Kernel Selection in Kernel Discriminant Analysis Using Information Complexity. Journal of Pattern Recognition Research. Vol 4, No 1, 2009.

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