I work to leverage my extensive full time professional background, quantitative foundations, and economic analysis skill-sets to become a valuable asset to a company or organization. For consulting inquiries, please contact me using the information below.
Myles Bouren
859.582.5878
mylesbouren@gmail.com
linkedin.com/in/mylesbouren
Software Strategy and Pricing, Senior Manager • Aug 2021 - Present
Rolling up within the Corporate Strategy business unit, I manage, develop, and implement pricing and packaging strategy for FICO's software suite. My focus is to create a material competitive advantage for FICO in the marketplace through adjustments to software product mix, innovative pricing techniques, and a "360 degree" view of our value proposition to customers.
Senior Manager, Pricing Analytics • Feb 2021 - Aug 2021
In this role, I rolled out a price elasticity analysis across entire product line within first 30 days of employment (25,000
individual SKUs and ~$150M in revenues), recommending price optimizations tailored to market demand, and responsive to exogenous market factors (such as rising raw material price levels, labor costs, and Suez shipping blockages); modeled price calibration projected to increase bottom line EBITDA by 11 percent before year-end 2021.
Additionally, I presented pricing enhancements and optimization to C-Level management, then directly to the Board of
Directors following implementation.
Manager, Strategic Pricing • May 2019 - Feb 2021
I functioned as a principal advisor to firm Partners regarding the optimization of pricing, the defining and setting of scope for engagements, and the understanding of deal negotiation impacts to revenues and profitability at a $2B/yr global law firm.
Inclusive of all my responsibilities as a Senior Analyst, my role as a Manager of Strategic Pricing additionally led to the direct management, hiring, and training of Pricing Analyst team members, leading to an expansion of the team’s ability to deliver powerful insights directly to firm leadership.
Initiatives I worked on included the creation and utilization of Monte Carlo models, which enabled the firm to build a portfolio of litigation contingency agreements valued in excess of $50M.
Senior Pricing Analyst • May 2018 - Apr 2019
As a Senior Analyst, I worked as the global pricing team's lead analyst for engagements that required a robust statistical understanding of profitability and revenue realization.
My primary responsibilities included consulting firm Partners and senior management on the economics of legal engagements, laterally training inter-departmental coworkers on currency complexities and quantitative analysis, and directly negotiating complex pricing arrangements with firm clients across the globe.
Pricing Analyst • Jan 2017 - May 2017
I specialized in developing pricing recommendations through quantitative analysis of large data sets. My primary roles included financial forecasting and model development in Excel, researching for actionable, statistically significant evidence to maximize firm revenue realization, and presenting findings directly to firm Partners and Executive C-level leadership.
Master of Business Administration • Graduated Spring 2020
22nd Ranked MBA Worldwide (The Economist)
22nd Ranked MBA (US News)
25th Ranked MBA (Poets & Quants)
Electives in Machine Learning, Consulting Process and Management, Performance-Driven Pricing
Machine Learning Projects:
- Built a model to predict if individual credit-card holders would default on their payments (k Nearest Neighbors)
- Created a model to predict flight delays or cancellations for airlines (neural network)
- Evaluated and identified ‘market segments’ of universities, modeled on student performance metrics (cluster analysis)
- Selected securities to quantitatively diversify investment portfolios based on financial returns, volatility, industry and market capitalization (cluster analysis)
- Predicted consumer purchase behaviors through a supervised learning model (random forests)
Bachelors of Science, Economics, 3.3 GPA, (3.87 major) • Graduated May 2017
Quantitative foundations in Applied Econometrics, Excel (macros, VBA), and Time-series Forecasting (ARIMA, Exponential smoothing). Electives in computer programming for data analysis (Python), Financial Modeling, and Calculus II. Undergraduate thesis paper: Monopsony Market Structures and Pharmaceutical Cost Drivers Within International (OECD) Health Care Systems.
Software foundations: Microsoft Excel (VBA, macros, pivot tables, index+match, vlookup, hlookup), SAS, Python 3.5 (numpy, pandas, matplotlib), and Stata.
Statistical foundations: Time-Series Forecasting (Univariate/Multivariate ARMA, ARMIA, Holt Exponential Smoothing, Unique Events), Applied Econometrics, Time-Series Trend Analysis, Analysis of Variance (ANOVA), and (Advanced) Multivariate Regression Analysis.
Academic foundations: Financial and Managerial Accounting (GAAP), Corporate Finance, Calculus II, Mathematical Probability, Linear (Matrix) Alegbra, and Business Operations Analysis.
A comparative analysis of cost drivers in health care, contrasting bargaining systems between nations. In this presentation, I illustrate the healthcare background, landscape, layout of my research, and reasons for choosing pharmaceuticals as illustrative variables.
Research, EconometricsRecruiters, please feel free to contact me for full time Consultant or Director positions in strategy, analytics, or finance.