Data Science, Statistical modeling, and SAS Professional with 17 years experience in Personal Lines Insurance, FMCG, Financial Services, Health Care, and, Telecommunication verticals.
- Exploratory analysis, data mining, and data transformations (ETL) on very large data.
- Predictive Modeling: Multivariate Regression, Logistic, GLM, Non-Linear Models
- Machine Learning: Decision Trees, Random Forests, Bagging & Boosting, Clustering
- Optimization techniques: LP, NLP, Heuristics
- Market Basket Analysis, Chi-Square Tests, Balanced Scorecard, Customer acquisition models.
- Data Extraction from very large databases. Merge and Sort techniques
- Data Transformation, including normalizing data, data cleansing, and handling missing data
- Data Load, including loading summarized data and OLAP cubes
- Developing KPIs, Reports and Dashboards.
Software: SAS Studio, SAS Enterprise Miner, SAS Enterprise Guide, SAS BI Suite (ETL Studio, DI Studio), SAS/STAT, SAS/Macro, SAS/SQL, SAS/Graph, PL/SQL, Tableau, Microsoft Suite (Excel, Word, PowerPoint)
Platforms: MVS OS/390, DB2, SQL Server, Unix, Windows
Education:
MS Decision Sciences, Drexel University, Philadelphia
MBA Operations Management, Philadelphia University, Philadelphia
Achievements:
Developed an online Product Recommendation Engine for customers for a Telecommunications company. The engine is still in use today.
Developed Prospect Acquisition Models to target the best prospects for client’s marketing campaigns. The models were built using Machine Learning techniques.
Completely automated the actuarial premium rate-making process done manually at a major Insurance company. Reduced total turnover time from 30 days to less than 5 days.
Designed and implemented a Business Intelligence system for financial data at a Health Care company. Shortened the process cycle from 3-4 weeks to 2 days.
Developed a new, data driven Trade Area algorithm for existing and new retail/big box outlets.
Experience (Last 10+ years):
Data Science Freelancer (03/2020-Present)
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 test questions on Data Modeling for an online recruitment testing company.
Developed undergraduate course content for Data Science and Statistics for a US University.
Propensity Score model development to determine store locations for a construction company.
Completed projects in predictive modeling and forecasting in various domains, including health care, credit risk, and, insurance.
Bridgetree Research Pvt. Ltd (01/2019 – 02/2020)
Director, Data & Analytics
Developed Look-Alike models using Logistic Regression for marketing campaigns of a Cable Dish Network company.
Developed Prospect Acquisition Models for marketing campaigns of an amusement park chain. The models were built using Machine Learning techniques.
Identified primary customer segments of a Pet Retail chain using K-Means Clustering. Performed Exploratory Data Analysis for the client.
Refined existing statistical models for a furniture retail chain and a sports goods company.
Revamped KPI Dashboard for a furniture retail chain.
Taught Statistics to Consultants using SAS software. Held 1 session per week. Topics included Logistic Regression, Decision Trees, Random Forests, and, Clustering.
Nexus Consultants (08/2010 – 11/2018)
Director
Managed a Data Science consulting practice, focusing on exploratory analysis, predictive modeling, marketing analysis, and, data quality across verticals. Industries consulted for include Telecom, Health Care, Financial/Insurance, and Waste Management.
Created customer segmentation models using clustering techniques for a Malaysian Telecom company. Identified customer segments for marketing campaigns.
Developed predictive models using Machine Learning techniques for a Hotel chain to monitor the performance of room rate packages.
Developed patient-centric reports and financial KPIs for a Health Services company.
Built an Incident-Probability statistical model for an Insurance company using Machine Learning and Logistic Regression.
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 DI for financial planning for a Health Care company.
Designed a BI system for a Financial Services company. The system included static reports and dashboards accessible on the company intranet portal.
MultiDimensional Expressions (MDX)
Multivariate Statistics
Logistic Regression
Predictive Analytics
Data Segmentation
Technical Writing
Data Mining
Business Proposal Writing
Statistical Modeling
Statistical Analysis
Data Extraction
Data Science
SAS
