SUMMARY:

I is a passionate statistical data analyst with a solid records in delivering results. I have a significant professional experience in using different modern quantitative methods and tools to give meaning to business data. Experienced in applying statistical modeling, data mining, operations research/optimization, and forecasting methods to various problems in solving health and auto insurance, marketing, and technological problems. I have a good educational background and ability to learn quickly, find TEMPeffective and innovative solutions with and without guidelines, and I is a team player.

TECHNICAL SKILLS:

Technology: Python, R SAS (EG/BASE), SQL, Hadoop (Hue), Teradata (SAS/TD Studio), Oracle (SAS/Toad), Excel /VBA, Java, Perl, C/C++, MATLAB, SAS EM, Angoss KS, MS Access, Acxiom ME, CPLEX.

PROFESSIONAL EXPERIENCE:

Confidential

Informatics/Analytics Analyst

Environment: SAS/Python/R, SQL, Excel, TD Studio, Acxiom ME.

Responsibilities:

• Developed and implemented forecasting models in U/W pricing predictive model project, Hospital Indemnity product, Cross Sell opportunity, dental risk models, customer retention, calls activity propensity to retention, call center activity and customer satisfaction.
• Developed Hospital Appointment Scheduling models for Living Well Clinics. Played an important role in teh development and support of teh IFP customer Life Time Value and CGI LTV modeling.
• Price elasticity modeling. Analyzed premium change TEMPeffect on retention, expected risk, and profitability. Product rate change impact on submission, sales, and U/W decline rates. Risk adjustment TEMPeffect on profitability; competitive pricing TEMPeffect on risk.
• Targeting and Cross Sell Modeling: Supported Marketing group in multiple targeting projects (campaign optimization, risk modeling, short term and long term lapsing prediction), DM campaign TEMPeffectiveness. Used regression/logistic regression and survival analysis in multiple projects (Hospital Indemnity, AI/CI, and dental risk modeling, customer retention, and others).
• Supported a few scoring processes, Acted as a liaison person between IFP and Acxiom, participating in data exchange and in multiple statistical modeling weekly meeting discussions. Used design of experiments in evaluation of different marketing campaigns. Many years of experience with 3rd Party Data (like Acxiom, D&B, other).
• Analyzed risk factors related to cost, disruption, diagnostics group, ETG/ERG and Previse score metrics in a few projects, like Hospital Indemnity, IFP CLTV and Risk adjustment, Confidential and Life projects, and in multiple ad hoc requests.

Confidential, Waltham, MA

Quantitative Analyst/Staff Product Developer/Contractor

Environment: Java, C\C++, Excel, SAS, MATLAB, SQL

Responsibilities:

• Designed and developed new models and algorithms for Predictive Modeling Group in teh areas of Data Analysis, Queuing Modeling, Optimization, and Numerical Methods. Teh Predict components of teh BMC product lines are responsible for evaluating reliability of computer systems performance and capacity planning. Teh product is used by many of teh Fortune 500 companies.
• Designed new algorithms and implemented prototype for optimal deployment and re - balancing in Cloud Computing. Participated in teh development of a new decision support feature in Predict. As part of this project, designed and implemented a new lexicographical optimization algorithm to evaluate teh achievable area in M/M/m queuing systems which is on teh order of magnitude (~2n/n2) more scalable and faster TEMPthan its predecessor.
• Headed numerous data analysis projects related to data compression, forecasting, outliers detection, risk evaluation, multi-criteria optimization. Heavily utilized linear and non-linear regression, TEMPprincipal components, time series analysis, maximum entropy principal, cluster analysis, and other statistical techniques. Using a nonlinear regression model, designed and implemented a hardware performance feature dat allows evaluating performance in cases with missing data.
• Conducted experiments, made numerous contributions to perfect teh numerical stability and scalability of teh product. Thus, my implementation of teh algorithm to model SUN Resource Manager proves to be much more scalable and compact TEMPthan teh previous one. Developed a regression testing tool and halped QA team in a few releases.

Confidential, Stamford, CT

Data Analyst (Contractor)

Environment: Perl, Excel VBA, SQL

• Participated in a few Confidential ’ projects. Implemented a program which uses Bloomberg data to evaluate some securities lowest original ratings by SP, Fitch, and Moody. Developed a few scripts which checked teh data feeds. In teh other projects my script updates teh DB each time when teh content on a specific web site is changed.

Confidential, Hartford, CT.

Data Analyst (Contractor)

Environment: SAS, Angoss KS, Excel

Responsibilities:

advanced analytics and data mining software services to teh insurance industry. This technology allows using both structured and unstructured claim related data to improve customer decision making, related to subrogation opportunities, fraud detection, and others. I participate in teh production and reporting support as well as in teh research and development processes to improve teh Confidential product.

Confidential, Southport, CT.

Analyst (Contractor)

Environment: SAS, Excel

Worked on Marketing Mix Modeling for a major pharmaceutical client. Used different SAS tools to create accurate prediction models, analyze teh results, and evaluate relative impact from different highly multi-collinear marketing drivers on teh product sales. Made significant contribution in teh technical part of teh process of winning a new long-term contract from a major customer. Participated in teh optimization and web analytics projects.

Confidential, Boston, MA.

Researcher

Environment: Perl, Excel, Java, C++

• Projects related to teh support and development of different aspects of teh Confidential s agency cost estimator (ACE) - one of teh most powerful pre-trade analysis tools in risk management and transaction cost optimization.
• Improved robustness and flexibility of teh production process of teh monthly generated intraday distributions of teh costs, volatility, and spreads metrics. Improved data cleaning processes. Streamlined teh process of handling certain complex nuances including changes in trading hours. Improved implementation of teh statistical classification algorithm (discretionary vs. non-discretionary trades).
• Compared Analytics from teh Reuters and Comstock data sources, and investigated sources of teh discrepancies. Suggested a new approach in estimating teh cost improvement parameters and implemented modifications to teh existing regression model.

Confidential, Waltham, MA,

Software Engineer

Environment: C, Unix shell

Responsibilities:

• Designed, developed, and implemented algorithms from teh area of Computational Geometry, Numerical Methods, and Optimization used in 3-D Modeling CAD/CAM design software.
• Designed and coded new optimization algorithms for harness analysis. Created more efficient implementation for collision detection and mold opening operations.
• Improved robustness of teh code for surface - to-surface, curve-to-surface, and ray-to-surface intersection functions. Implemented or improved shell analysis, threads modeling, loop filling, clearance-interference, finding minimal distance, absolute accuracy and other features.