Founder of www.QuantUniversity.com, a data science, machine learning, AI and quantitative analysis advisory. Building QuSandbox, a platform to enable successful adoption of AI in the enterprise. QuantUniversity is in NVIDIA"s AI accelerator program(Inception) and is certified by NVIDIA's Deep Learning Institute to offer Deep Learning courses through QuantUniversity.QuantUniversity offers custom consulting in data analytics, machine learning, quantitative finance and optimization. We have significant experience in design, development and distribution of quantitative applications. We partner closely with our customers and do deep engagements and have delivered value that has significantly enhanced our customers's ROI on projects. Executive Education:QuantUniversity offers customized training courses and workshops for executives to enable them with the tools needed to handle data and implementation challenges when designing and developing quantitative solutions. Our workshops are hands-on and filled with real-world examples enabling executives to use the skills learnt immediately in their jobs.Strategy Consulting:We have significant experience working with organizations to help with data analysis, quantitative finance and optimization strategies. We partner with clients to provide strategic advice and solutions on technology road maps, solution architecture, performance evaluation and optimization. We take a vendor-neutral approach and provide optimal solutions after a thorough evaluation of our client needs. We also do investment due-diligence for fintech investments.

I teach advanced graduate Data Science, Cognitive computing , Deep Learning, Neural Networks, Algorithmic marketing, Big Data & Fintech related courses

CFA Society Boston is a non-profit professional society that has been a point of connection for the Boston investment community since 1946. The Society provides an open forum for the exchange of fresh perspectives on industry issues and promotes ethics and integrity.

Created and delivered the following courses for the PRMIA membership.1. Just Enough Python for Data Science2. Machine Learning and AI for Financial Professionals3. Model Risk Management for Machine Learning Models4. Risk & ML Models: Stress, Scenario Testing & Evaluation5. Algorithmic Auditing for Machine Learning & AI Models

Taught the MBA core course: Data, Models and DecisionsDescription:This course is concerned with identifying variation, measuring it, and managing it to make informed decisions. Topics include: numerical and graphical description of data, confidence intervals, hypothesis testing, regression, decision analysis, and simulation. Applications to Economics, Finance, Marketing, and Operations illustrate the use of these quantitative tools in applied contexts. The course utilizes spreadsheet, statistical, and simulation softwareTaught the MBA course: Business Intelligence, Analytics and VisualizationDescription:This course will examine the methods and challenges faced in turning data into insightful analytics in business. With data sizes significantly increasing in the last decade, extracting meaningful information to compete successfully is essential. You will accomplish this by learning techniques for data gathering, data analysis, and visualization as well as in discussion on companies currently trying to turn the information they gather into business opportunities. We will learn a variety of methods and software for finding patterns(such as regression, neural networks, association rules, CART, forecasting etc.), building models, and ultimately making decisions using large data sets. This is a hands-on course with in-class exercises and group projects to help students learn and apply data analysis techniques preparing them for the practical challenges analysts face in the real world. We will address questions such as:- How does Amazon recommend products based on your past purchases ? - How to forecast energy consumption based on historical weather and consumption data? - How do credit-card companies detect fraud? - What challenges does Big Data pose to companies and how to handle these challenges?

• Responsible for development and delivery of financial consulting applications in North America• Conceived and Developed a new consulting offering for financial application development which has resulted in a 6X ROI• Developed multiple applications and case studies for asset management using Statistics, Optimization, Econometrics, Fixed Income, Financial and Derivatives toolboxes in MATLAB• Designed and architected financial modeling applications for more than 20 asset management, trading, credit rating companies, hedge funds globally. Key accomplishments include:--- Developed a Monte-Carlo simulation engine which was used in structuring a $8.4 billion transaction--- Developed portfolio optimization and performance analytics applications for a hedge fund--- Developed and optimized Bond pricing calculators for a Asset-Liability Management application that is used by multiple analysts--- Developed applications for time series analysis and portfolio optimization for an asset management research desk--- Designed and architected financial modeling applications for more than 20 asset management, trading, credit rating companies--- Led workshops for proprietary trading departments to help design and optimize trading operations

• Designed and architected a performance monitoring analytics application currently used by 500 performance analysts globally and has resulted in 40% cost savings for a large global enterprise• Architected and implemented financial and performance analytics applications leading to repeat business and 5X growth in consulting revenues• Consolidated requirements, authored specifications, integrated multiple data sources and optimized report generation methodologies using state-of-the art technologies• Managed client expectations, provided technical consulting and delivered projects on a timely basis.

• Developed currency models to facilitate trades and rolls of Foreign exchange portfolios.• Developed models using Excel and VBA to generate trade sheets• Implemented business rules for record and data validation

• Measured portfolio performance and managed risk for $1.2m portfolio of Babson College’s endowment.• Analyzed and presented a research report on a publicly traded technology company to win the New England Investment Research Challenge and the CFA Institute Global Research Challenge (http://girc.membersocieties.org/Pages/Default.aspx ).• Analyzed financial statements, researched equities, prepared research reports and made buy/sell decisions for the Babson college fund• Developed an application to compute and report performance metrics such as Sharpe ratio, beta, alpha, standard deviation, tracking error and performed performance attribution.• Constructed portfolios and back tested using Northfield risk model and optimization engine.

• Collected user requirements, authored functional and technical specifications, and implemented significant pieces of a real-time bid-wanted auction system for bond trading which trades more than $50 million dollars a day.• Designed and implemented analytics frameworks for fixed income and derivative trading applications. Back tested calculators and validated algorithms against Bloomberg.• Edited and authored a daily fixed income market newsletter with an audience of more than 600 readers globally.

• Managed client relationship and advised more than 500 customers in the implementation of data management and visualization software packages.• Authored and published more than 200 articles, training guides and best practice documents.

• Designed web-based management systems and report generation software• Developed engineering and design packages for construction equipment