SUMMARY:

With 15+ years’ experience in Sql, R and Python machine learning (Python scripting with jupyter / spyder, numpy, TensorFlow, matplotlib, scikit - learn, keras, pandas) data analysis to support Customer Relationship Management (CRM), Marketing, Custom of voice, Adobe Omniture, digital marketing/business process analysis/modeling/ machine learning, quality control.

SKILL:

• Proficiency in using Python, R, and machine learning (numpy, TensorFlow, matplotlib, scikit-learn, keras, pandas)
• Proficiency in using SAS, SAS Macros, SQL, Shell scripts and advanced statistical techniques.
• Proficient in database driven Excel workbooks, pivot, design, macros, Business Intelligence and VBA.
• Proficiency in Teradata/DB2/Omniture and Strong UNIX experience. ETL/OLAP experience handling huge data in excess of hundreds of millions of records. Excellent knowledge in Tableau, Spark and Hadoop.
• Excellent communication skills presenting technical analysis to non-technical personnel with simple and understandable words.

PROFESSIONAL EXPERIENCE:

Senior Manager

Confidential, Woonsocket, RI

Responsibilities:

• Develop measurement approach to Identify new sales and margin opportunities through customer behavior insight.
• Built predictive models targeting on Net Sales at many different Confidential & Confidential market segments using Light Gradient Boosting and decision trees by python packages.
• Building models for prediction of the sale trips downward migration at different channels with direct mail and email by applying HMM (Hidden Markov Models) in Python.

Marketing Principal Data Scientist

Confidential, Nashville, TN

Responsibilities:

• Created and validating dashboards, KPI’s, visualization reports by Tableau, especially focusing on measuring how the Confidential programs improving the total sales (year by year, month by month) within different customer segmentations.
• Built models with machine learning by Python (numpy, TensorFlow, matplotlib, scikit-learn, keras, and pandas) to predict Confidential membership in segmented markets for campaign purposes.
• Cohort analysis with different years by sql in python to build customer insight for the best customer groups.
• Analysis of variance (ANOVA) by building linear regression in Python and R to measure the multiple factors related with historical transactional data impacting the total margin.

Marketing Analytics Manager/data scientist

Confidential, Richmond, VA

Responsibilities:

• Build and validate a mortgage refinance cash out model by Python and SAS for predicting marketing purposes.
• Helped marketing people to analyze/monitor/generate executable programs for business purposes with Adobe Omniture digital marketing data.
• Used Hadoop to facilitate insightful periodical analyses of website data collected by external sources, in order to get useful information for potential clients. Also created a fuzzy logic to find matching with clients’ other information.
• Responsible for the design and development of the new programs for supporting Mortgage campaign, consumer lending, and cross sell with the Marketing database. Also responsible for repairing and improving the existing programs for digital marketing with SQL and Python.
• Identify solutions and develop technology plans to improve efficiency and services to our clients. Responsible for building the validation mechanisms for the team targeting routine and ad-hoc projects using different databases.
• Responsible for performing digital marketing data quality analysis. Responsible for taking requests for ad-hoc analysis and making them production ready including exploratory data analysis, code preparation and review, summary findings and conclusions, and delivery to the customer.
• Statistical analysis including paired and un-paired t-test and multi factor analysis by R on the Mortgage marketing campaign projects to find out the better marketing strategy such as direct mail or email or paid search or other social media.

Senior Statistician

Confidential, Atlanta, GA

Responsibilities:

• Support Customer Insight Strategic Planning by SAS programming to generate many different sale-transaction/demographic reports. · Created various SAS Macros for different projects such as trigger-target and additional income variables for demographic data.
• Support CRM with data analysis and programming for campaign purposes such as the new mover program and the military discounts’ program. Customer marketing basket analysis including on-line shopping behavior.
• Support Credit Card Department to help generating the Confidential credit card users’ shipping free programs. Using ETL to support Confidential external business partners such as Fico, IDM, Epsilon, Yahoo, Paypal for marketing or digital marketing purposes.
• Built and validated segmentation models for splitting professional and consumers with data sampling/survey and advanced statistical techniques including decision tree, and logistic regression.
• Built a CLV (customer lifetime value) model with the non-linear regression targeting HD professional customers.

Senior Analyst

Confidential, Charlotte, NC

Responsibilities:

• Performed demographic data analysis including sex, age, occupation, education, region, health conditions using claim data.
• Created various SAS datasets with SQL and performed statistical analysis and validation.
• Prepared datasets by sampling claim and non-claim data and built a logistic model to predict claim counts.
• Performed ad-hoc analysis to support new and existing program development and customer inquiry. Developed various metrics for measuring, monitoring and controlling products risk related claims.
• Developed SAS Macros and performed statistical analysis working with large volume of data for supporting Market Operation Department in order for customer segmentation.

Senior Scientist/Analyst

Confidential, Richmond, VA

Responsibilities:

• Developed SAS time series models to forecast new products’ sales volume with different regions, promotions, flavor combinations, and product price in order for quality improvement, and strategic planning.
• Provided statistical assessments associated with product specifications. Created various SAS datasets with SQL and performed statistical analysis and validation.
• Developed SAS demand forecasting models for estimation of premium products’ sales volumes using historic data in order for strategic planning.

Senior Scientist/Analyst

Confidential, Pearl River, NY

Responsibilities:

• Designed experiments for formulation development, analytical method development, process capability, and stability studies.
• Developed SAS macros to facilitate automate data management, tabular and graphical data summaries for statistical designs and analyses.
• Responsible for data management, statistical programming, and statistical analysis of product development data (e.g. formulation development, analytical development, stability trending, specification setting, process capability).

Senior Scientist

Confidential, Nashville, TN

Responsibilities:

• Generated statistical reports of market analysis on new products launching and provided trend analysis of expenses that were used as basis of products pricing process.
• Worked with R&D scientists in the problem definition, study design, data collection, statistical analysis, and communication of results.
• Developed, modified and validated VBA programs to produce customized weekly and monthly, quarterly, and yearly statistical analysis reports on production operations for risk management and quality improvements by the plant management team.
• Developed, optimized and validated mathematical models and macros to arrive at the best forecasting formula for raw materials’ chemical and physical properties in manufacturing operations, based on past usage data that helped reduce forecasting errors from ±32% to within ±12%.