SUMMARY

• Data Scientist, Statistician, and SAS Professional experienced in Financial Risk, Insurance, Customer Experience Management (CEM), and Marketing Analysis domains.
• Data Visualization, Forecasting, Predictive Modeling, Machine Learning, Business recommendations based on model results, Project management, Team management, Strong verbal and written communication.

Areas of Expertise

• Credit risk, Balanced Scorecard models, Asset valuation forecasting models.
• Insurance premium rate - making process, Loss Triangles.
• Customer acquisition models, Customer Segmentation, Customer retention models

TECHNICAL SKILLS

Data cleansing: imputing missing data, normalizing data. Working with large data.

Predictive Modeling: GLM, Logistic Regression, Discriminant Analysis, Non-Linear models.

Machine Learning: Decision Trees, Random Forests, Gradient Boosting, SVM, Clustering, Segmentation.

Time Series: Forecasting, Monte Carlo Simulation.

Optimization techniques: Linear Programming, NLP, Heuristics. KPI, Reports and Dashboards.

Software: SAS Studio, SAS Enterprise Miner, SAS/STAT, SAS/Macro, SAS/SQL, SAS/Graph, SAS XML, JSON API, PL/SQL, Tableau, Microsoft Excel, Office Suite

PROFESSIONAL EXPERIENCE

Confidential

Senior Data Scientist

Responsibilities:

• Designed Bitcoin price forecasting models that give very high relative accuracy.
• Created a Google Site to show visualizations of model results.
• RFM, clustering, and market basket analysis (MBA) for an online retail company.
• Survey analysis of students and parents responses for a school district in Connecticut.
• Developed undergraduate course content for Data Science and Statistics for a Confidential .

Confidential

Analytics Director, Sr. Statistician

Responsibilities:

• Developed propensity models using Logistic Regression for marketing campaigns of a Cable Dish Network company.
• Developed Prospect Acquisition models, using machine learning, for marketing campaigns of an amusement park chain.
• Identified primary customer segments of a Pet Retail chain using K-Means Clustering.
• The segments drove the company's marketing strategy to customers.
• Developed a KPI Dashboard for a furniture retail chain.

Confidential

Director, Data Scientist

Responsibilities:

• Identified customer segments for marketing campaigns.
• Developed predictive models using Machine Learning for a Hotel chain to monitor the performance of room rate packages.
• Created an intelligent recommendation system for a Telecom company customer portal.
• The engine recommended relevant products to individual customers based on user characteristics and actions.
• Designed Customer Experience Management (CEM) strategy for a Telecom company.
• Built and implemented analytical processes (clusters, retention models) to support the strategy.
• Developed an ETL framework with SAS for financial planning for a Health Care company.

Confidential

Analytics Manager

Responsibilities:

• Managed a team of 40 analysts and managers of the US Credit Card department.
• Responsible for the Customer Care, Collections, and Fraud domains.
• Grew the team from 25 to 40 Analysts.
• Managed a team of 45 analysts and managers of the US Credit Card Operations department.
• Responsible for the Contact Service Delivery domain.
• Grew the team from 18 to 45.
• Provided leadership and direction to the India teams.
• Ensured constant communication with US teams and management.
• Started cross-functional routines between internal and external teams.

Confidential, Watchung, NJ

SAS Project Manager

Responsibilities:

• Created Personal Lines and Worker’s Comp Data Marts
• Developed a churn predictive model for P&C using Decision Trees and Regression.
• Designed an Insurance Claims Analytics Mart.
• Developed Customer Cohort analysis process by dimensions, such as product, offer types, and, migration patterns.

Confidential, New York, NY

Analytics Manager

Responsibilities:

• Developed Trade Area algorithms using heuristic optimization techniques and Log-Linear models.
• Built an automated process to implement the algorithm in production mode.
• Developed Pre-Post, Share of Wallet, and, Customer Penetration analytical processes using Chi-Square tests.
• Created a SAS based system to automate ad-hoc processes of data extraction, transformation, and, analysis.
• Recruited personnel, and, consultants to build the Product Team.
• Negotiated contracts and terms of hire.
• Maintained and monitored consultant contracts and budget.

Confidential, Holmdel, NJ

Data Analysis Manager

Responsibilities:

• Analysis included Pricing Modeling, Loss Triangles, Trend Analysis, Sequential Analysis, Underwriting selection algorithms, and. Customer Segmentation.
• Developed Territorial Pricing Relativity Models, Customer Tiering Models, and Dislocation Analysis utilities.
• Used SAS/Macro, SAS/STAT, and, SAS/GIS for analytical reports and graphs.
• Managed the entire Data Mart life cycle.
• Coordinated the work of Consultants, Systems, and Business Units in refining Data Mart architecture.
• Finalized database schema and data dictionary. Achieved 50% savings in processing and storage costs.
• The initiative reduced department budgeted data costs by $150,000/yr