SUMMARY

• Data Scientist with 10 years of combined experience in analytics software, finance and music industries.
• Current focus is on engineering data management, data mining and predictive analytical systems using R, Python, Spark/Scala and modem database frameworks as well as developing and/or evangelizing applications that employ scientific visualizations, Business Intelligence and Big Data capabilities.
• I’m most excited for a challenging role as an intellectual, entrepreneur and leader.

PROFESSIONAL EXPERIENCE

Confidential, Chicago, IL

Sr. Data Engineer / Big Data Developer

Responsibilities:

• Developed advanced analytics platform as an R package with a front - end built in Shiny and with embedded high-performance, scalable data munging and machine learning algorithms using H20 and Spark
• Designed, prototyped, deployed analytics in the form of customized data products addressing data integrity and profitability /business strategies and educated the firm and its clients in extracting business value from advanced analytical techniques

Confidential, Chicago, IL

Chief Product Officer / Sr. Data Scientist

Responsibilities:

• Designs and prototypes (mainly in Python, but also wireframes and Excel/VBA) for much of the front and back-end of a new web application in the FinTech (“Advisor- Tech”) space
• Integration of a number of 3 rd party data sources/financial aggregators by building out connections to their API’s
• Collaboration with and management of a development team, many of whom were offshore, often providing clarity and guidance around the specifications and functionality of the product
• Identified and drafted solutions to problems in the existing application workflow, architecture and business logic; presenting my vision and laying the groundwork for new features, production support, data validation and QA tools

Confidential, Chicago, IL

Sr. Sales Engineer / Statistical Consultant

Responsibilities:

• Develop and deliver custom product demonstrations and overviews and engage in various sales activities including user groups, conferences, trade shows, etc.
• Support customers by assisting with technical inquiries, product evaluations and proofs-of-concept consulting opportunities including professional services engagements
• Contribute towards product development and algorithm roadmap via internal testing, tracking customer feedback/demand and writing innovative analytical routines in R

Confidential, Chicago, IL

Technical PreSales Engineer / Statistical Consultant & Technical Support Manager

Responsibilities:

• Support Cubeware sales team with the design and execution of technical demonstrations, proofs-of-concept data management, ETL, predictive analytics modeling, multivariate statistics and Business Intelligence / IT Conferences / trade shows
• Development of predictive analytics applications in R that interface with Cubeware’s Business Intelligence Suite
• Management of business intelligence/statistical consulting and technical support for customers including content creation, trainings and webinars as well as troubleshooting
• Drafting business and marketing strategies including copy, creation of marketing collateral, partner management and product development and provided internal business and marketing analytics solutions as well as competition research

Confidential, Chicago, IL

Data Management / Financial Consultant

Responsibilities:

• Redesign of Data Management/CRM systems Manage and improve PO processing and accounts payable/receivable Coordinate distribution, mail order, promotional content and royalties
• Advisor on the financial and strategic course at a rapidly growing record label
• Recording and categorization of all expenses dating back to Custom developed a Data Management/CRM system in Excel for management of invoicing and accounts receivable for clients including many critically acclaimed indie musicians/ DJ’ si record labels and restaurants

Confidential, Chicago, IL

Quantitative Analyst / Futures Trader

Responsibilities:

• Executed high frequency trading strategies in fixed-income futures markets for the proprietary trading subsidiary Aardvark Trading Analyzed various forms of market data using multivariate statistics in R and built innovative resources to facilitate more advanced and highly automated trade models Improved risk valuation techniques and informational interfaces and maintained databases of benchmark interest rate curves, treasuries and related securities

Confidential, Glenview, IL

Quantitative Analyst

Responsibilities:

• Designed data management system, option trading strategies, predictive analytics and pricing models via independent research, programming and implementation Back-tested a variety of structures and developed risk-adjusted and absolute return optimizations
• Performed daily monitoring of relevant stocks, sectors, volatility surfaces and market correlations
• Produced trade reports, indicative pricing sheets for exotic instruments, real-time risk monitors and diagrams of historical market characteristics

Confidential

Graduate Research and Teaching Assistant

Responsibilities:

• Thesis work on skew distributions and control in insurance model with computations based on auto insurance data
• Simulations of fractional Brownian Motion and fractional Gaussian Noise seeking improved accuracy of approximations to the Hurst parameter
• Taught Math 365 Introductory Statistics, Math 116 Calculus II and Math 101 College Algebra and developed MATLAB tutorials for Differential Equations courses
• Graded and tutored for Math 526 Applied Probability and Statistics
• Assisted an archaeologist at the Nelson-Atkins Museum of Art in Kansas City in strengthening a probabilistic argument about the ordering of the ancient muses