SUMMARY

• Accomplished data science professional that specializes in designing, building, and implementing predictive modeling solutions for complex large data sets using statistical analysis, data mining, and machine learning.
• Adept at communicating analytical solutions to diverse audiences including product management, engineering, marketing, and management.
• Avid user of open source software including R, Hadoop, and Hive.

TECHNICAL SUMMARY

Statistical Methods: Regression (Simple, Multiple, Non - Linear, Logistic, Robust, Ridge) • ANOVA • Hypothesis Testing • Experimental Design • Time Series Analysis • Probability • Simulation • Exploratory and Robust Data Analysis

Statistical Tools and Languages: R • SAS • Azure Machine Learning • Minitab • SPSS • Eviews • STATA • @RISK • Arena

Databases and Storage: Teradata • Hadoop • Hive • SQL • Datameer

Operating Systems: Windows • Linux

Microsoft Software: Access • Excel • Word • PowerPoint

PROFESSIONAL EXPERIENCE

Confidential, San Jose, CA

Data Scientist / Consultant / Owner

Responsibilities:

• Designed factorial type experimental design to maximize mobile app downloads for Android mobile phone users for e - commerce company.
• Developed predictive model to target users most likely to respond to display advertising and email campaign and purchase goods for e-commerce company.
• Designed and built recommendation engine for specific product categories for e-commerce company.
• Tested and improved functionality of cloud based machine learning platform for software company.
• Developed optimal playing strategy for three card poker casino management group through simulation techniques.
• All possible scenarios were simulated allowing group to look at extreme win and loss probabilities to maximize gaming revenues.
• Developed predictive model to target demographics most likely to purchase health product using survey data.
• Developed predictive model using real estate data to determine factors affecting rents and property values to maximize rental incomes and sales for corporate real estate company.
• Developed, backtested, and implemented statistical model to predict equity prices in the short term following an earnings release for 3500 equity universe for investment software company .
• Built asset optimizer and risk management tools using R for Boston based investment management firm.
• Created optimal international, domestic, and global equity and fixed income portfolios with graphics based upon client guidelines on a quarterly basis.
• Developed standardized testing templates for technology company's demand planning team to test complex functionality designed into planning software that resulted in increased accuracy.
• Advised multiple PhD candidates with statistical component of dissertation research.

Confidential, San Francisco, CA

Platform Data Scientist

Responsibilities:

• Developed methodology for customer lifetime value for Internet search product with 140 million+ user base for both Google and Yahoo users globally.
• Managed process to move legacy Internet search data from SQL to Hadoop and have current search data fed into Hadoop for Big Data analytics and predictive modeling.
• Developed profitability models for search platform business that are used in contract negotiation and determine the optimal price to pay for an install or activation for Internet search product.
• Developed predictive models to predict amount of searches per day per geographical region, search provider, and other demographics.
• Developed predictive model that determines optimal search provider to send Internet traffic to based upon multiple constraints and guidelines.

Confidential, Westwood, MA

Consultant

Responsibilities:

• Designed and implemented process for predicting short and long term natural gas demand using regression and time series econometric models which allowed company to strategically plan energy reserves.

Confidential, Boston, MA

S ummer Quantitative Analyst

Responsibilities:

• Developed and implemented process for statistically testing various internal and external optimization software packages seeking maximum utility for global market neutral funds using time series of inputs and multiple constraints.

Confidential, Boston, MA

Research Officer Investment Analyst

Responsibilities:

• Analyzed and actively monitored equity portfolios including the use of risk decompositions, factor exposures, and marginal contribution to active risk scores to keep investment teams aware of active and total risks within portfolios.
• Researched and presented equity attribution, risk and market data at weekly investment meeting.
• Advised quantitative team with model creation, backtesting of portfolios, and data maintenance
• Optimized equity portfolios using time series of inputs and multiple constraints.
• Constructed and maintained custom benchmarks which were actively managed for institutional clients.
• Created attribution analysis for portfolio managers for global large, mid and small cap portfolios.

Confidential, Boston, MA

Performance Analyst

Responsibilities:

• Created attribution analysis for portfolio managers across domestic and international portfolios.
• Constructed and maintained custom benchmarks and peer groups for investment management.
• Created ad-hoc requests for investment management.

Confidential, Quincy, MA

Senior Performance Analyst Performance Analyst Senior Portfolio Accountant / Auditor Portfolio Accountant

Responsibilities:

• Created and interpreted domestic and international attribution analysis, universe comparison, and investment performance services to clients and senior consultants.
• Developed and implemented risk analysis for retail mutual fund client.
• Responsible for training of new analysts.
• Member of Euro and Year 2000 Conversion Teams responsible for systems testing within division.
• Liaison chosen by senior management to help implement new operating model within division.
• Production of extensive client specific reporting including client annual report and financial statements.