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Charles Lewis Sizemore, CFA is the Chief Investment Officer of Sizemore Capital Management LLC, a registered investment advisor. He has been a frequent guest on Bloomberg TV and Fox Business News, has been quoted in Barron’s Magazine, The Wall Street Journal, and The Washington Post and is a frequent contributor to Forbes Moneybuilder, GuruFocus, MarketWatch and InvestorPlace.com.
Charles holds a master’s degree in Finance and Accounting from the London School of Economics in the United Kingdom and a Bachelor of Business Administration in Finance with an International Emphasis from Texas Christian University in Fort Worth, Texas, where he graduated Magna Cum Laude and as a Phi Beta Kappa scholar.
"The game taught me the game."
- Jesse Livermore
When I find an edge, I bet to win. This confidence and conviction has kept me in business during good times and bad. To me it makes no difference if the market is going up or down. The only important thing is that it exists. I have learnt that to consistently beat the street, I had to radically change the way I looked at things. For instance, when looking at a company, I evaluate the people and their motivations even more carefully than I analyze the fundamentals. My research is meticulous and I try to leave no stone unturned in my obsessive pursuit of alpha.
Dr. Ahanotu is a graduate of Stanford University with over twenty years of experience doing analytic modeling, executing pricing strategies through price optimization, and implementing, developing, and selling enterprise software. He adds to this industry experience another five overlapping years of research in knowledge management and organizational learning. Duru Ahanotu, Ph.D. founded Ahan Analytics, LLC to deliver sustainable, data-driven approaches for improving business performance. He recognizes the unique challenges companies face in leveraging their data to increase revenues, become more efficient, and drive profitability.
Before launching Ahan Analytics, LLC, Dr. Ahanotu was last a Sales Consultant in the Advertiser and Publisher Solutions (APS) group within Microsoft Advertising. In this capacity, he provided product knowledge, functional expertise, and technical support to APS account executives who sold APS’s suite of media monetization products. He led product demonstrations and increased the productivity of the sales team by training and certifying employees on the use and demonstration of the software. Dr. Ahanotu took on this role after Microsoft acquired his former employer Rapt, Inc. Rapt provided software solutions for maximizing revenue and yield for online media publishers.
With Rapt, Dr. Ahanotu last served as an Engagement Manager for a software implementation for a $100 million on-line publisher with a rapidly growing business. With his project team, Dr. Ahanotu created and coordinated novel approaches to inventory forecasting, structuring of product hierarchies, and ETL across software systems for order management, advertising delivery, and Rapt’s software. He also generated a step-by-step methodology for interpreting and using the results of price optimization.
As a Solutions Architect, Dr. Ahanotu served as the lead Solutions Consultant on client engagements and provided technical assistance and guidance to Solutions Consultants on other projects. Dr. Ahanotu designed and implemented price optimization solutions, demonstrating expertise in mathematical modeling, pricing, data analysis, SQL, and relational data models. He led discussions with customers and internal teams to improve implementation processes and product design.
Dr. Ahanotu held oversight responsibility for the analytic modeling for two projects using Price Director, Rapt’s price optimization software. Each project supported pricing decisions in Fortune 50 businesses: one business was a leading online media publisher, and the other was a rapidly growing technology company in a low margin business. Dr. Ahanotu helped the latter client integrate Price Director into pricing workflow. As part of this first-ever client implementation of Price Director, he worked closely with Product Management, Analytic Development, and Software Engineering to ensure that early-stage product functionality met client needs.
Dr. Ahanotu contributed several new methodologies for implementing Price Director analytics and conceptual frameworks for training clients on these analytics. He is a contributor on a related Rapt patent: “Method and System for Producing Optimized Prices for Products for Sale.” Dr. Ahanotu presented a white paper on the pricing of New Product Introductions at the 2006 INFORMS Annual Meeting. The Professional Pricing Society published this paper in The Journal of Professional Pricing (Vol. 16, No. 1, First Quarter 2007) as “Pricing New Products: Turning Portfolio Uncertainty Into Profits.”
Prior to Rapt, Dr. Ahanotu was a consultant with Integral, Inc, a small strategic management consulting firm. During his three-year tenure, he consulted on product development and technology strategy focused on high tech and pharmaceutical companies. Prior to Integral, he developed mathematical programming algorithms for managing and optimizing “Y2K” projects as an independent contractor. Prior to this work, he implemented expert systems for diagnosing and troubleshooting automotive and semiconductor manufacturing equipment as a Business Solutions Project Manager and Consultant for Expert Edge, Inc.
Dr. Ahanotu earned a Master’s and Ph.D. in Engineering-Economic Systems (1999), a B.S. in Mechanical Engineering, and Honors in Values, Technology, Science, and Society (1991) - all at Stanford University.
I am currently a student working on obtaining a Master's degree in Biomedical Sciences, and I have completed a Bachelor's in Biotechnology.
While my background in biotechnology gives me a great perspective into high growth companies, I prefer to focus on equities that are undervalued no matter what sector they fall under. I focus on fundamentals such as Price/Free-Cash-Flow and Price/Book to determine the ideal value of the company and I research management and their prior experience to determine whether to discount or add a premium to the ideal value. I do not use technical data to determine what makes a good investment. Rather, I use it to determine when is the best time to open or close a position in a company that I have determined to be undervalued or overvalued.