Image of Surendar Swaminathan

Surendar Swaminathan

Associate @ Mu Sigma

Product Analytics, Data Scientist, Machine Learning, Statistical Modelling, Analytics

San Francisco Bay Area

Ranked #1,013 out of 20,260 for Associate in United States

Section title

Surendar Swaminathan's Email Addresses & Phone Numbers

Surendar Swaminathan's Work Experience

Mu Sigma

Associate

August 2012 to Present

Greater Chicago Area

Lnx Research

Manager Insight Analytics

November 2008 to July 2012

Orange County, California Area

Office of Technology Development

Statistical Modeler

January 2005 to June 2007

Surendar Swaminathan's Education

National Institute of Technology, Trichy

B.E Electrical and Electronics

1997 to 2001

University of Nebraska-Lincoln

Master's degree Statistics

Regional Engineering College

Bachelor Engineering

Surendar Swaminathan's Professional Skills Radar Chart

Based on our findings, Surendar Swaminathan is ...

Inspirational
Troubleshooter
Thoughtful

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Based on our findings, Surendar Swaminathan is ...

56% Left Brained
44% Right Brained

Surendar Swaminathan's Estimated Salary Range

About Surendar Swaminathan's Current Company

Mu Sigma

Consulted for fortune 20 and fortune 100 clients, managed delivery, recommended analytical/strategical solutions Designed and successfully implemented monthly personalized prediction campaign engine on items for 5 million customers across test stores to increase the sales Successfully developed recommendation engine currently in production ; customer buying an item in 30-60-90 days period Modelled the event of buying an...

Frequently Asked Questions about Surendar Swaminathan

What company does Surendar Swaminathan work for?

Surendar Swaminathan works for Mu Sigma


What is Surendar Swaminathan's role at Mu Sigma?

Surendar Swaminathan is Associate


What is Surendar Swaminathan's personal email address?

Surendar Swaminathan's personal email addresses are s****[email protected], and s****[email protected]


What is Surendar Swaminathan's business email address?

Surendar Swaminathan's business email addresses are not available


What is Surendar Swaminathan's Phone Number?

Surendar Swaminathan's phone (**) *** *** 313


What industry does Surendar Swaminathan work in?

Surendar Swaminathan works in the Retail industry.


Who are Surendar Swaminathan's colleagues?

Surendar Swaminathan's colleagues are Jaime Fernandez Palacios, Arvind Kumaran, Rajiv Deshmukh, Bright Yesudhas, Vikas Bhat, James Weston, Nidhi Sadanand, Dyuti Bhattacharya, Navin Naidu, and Nagappa Paraddi


About Surendar Swaminathan

📖 Summary

Retail Analytics , Pharma/ Social Network analytics/ Machine learning/ Statistical Techniques/Statistical Modelling, Big data analytics Customer Insights Analytics, Pricing Analytics, Key opinion leader analytics. Seasoned analytic professional with 5+ years consulting experience in big data analytics/customer insights /Product model building Experience in Retail/Retail-Pharmacy/ and Pharma marketing Expertise in statistical tools and techniques, data-visualization and insights Modelling: Predictive Modelling ; Propensity Models; Propensity scores; Linear / Non- Linear; Structured Equation; ANOVA; Clustering; Multivariate Machine learning: Graph algorithms – Network analysis; collaborative filtering; Naïve Bayes Programming : SAS; R Packages; Python Modules; Mahout Packages; Advanced Excel and SQLAssociate @ Consulted for fortune 20 and fortune 100 clients, managed delivery, recommended analytical/strategical solutions Designed and successfully implemented monthly personalized prediction campaign engine on items for 5 million customers across test stores to increase the sales Successfully developed recommendation engine currently in production ; customer buying an item in 30-60-90 days period Modelled the event of buying an item with high and low responders Logistic regression model for items that has high responders Firth/Exact model - Low responders - Rare event modeling Segmented customers based on the probability value of a customer using K-means clustering Discriminate the customers from buyers and non-buyers : Linear discriminate analysis Identified the items that should be recommended for a customer : Probability score of a customer Machine learning – using Collaborative filtering,Naïve Bayes technique Analyzed survey results and customer complaint report, developed logistic regression model to prioritize the survey question in ordering platform and identified the drivers for customer satisfaction From August 2012 to Present (3 years 5 months) Greater Chicago AreaManager Insight Analytics @ Responsibility Product manager and developer in developing in-house tool for rapid analysis on social network data using graph algorithms. Developed Social network clusters graph packages. Social Network Metrics developer Betweenness, Closeness, Eigenvector, Bonacich power Social network metrics using R packages (igraph, SNA, STAT, RODBC) Developed statistical tool in finding next rising star in scientific community using logistic regression. Developed social network community detection algorithms using R Analyzed social networking trends in creating next movers and shakers. Created SQL Server Tables and Complex Tables, Views and User-Defined Functions those are required for the application. Segmentation and clustering social network data. Manager in data mapping, data Collection, data disambiguation. R - IGRAPH Package Expertise in Social Network Analysis. Algorithm developer for social network metrics. Statistical Modeler. Product developer. Marketing Analyst From November 2008 to July 2012 (3 years 9 months) Orange County, California AreaStatistical Modeler @ Office of Technology Development, Lincoln Responsibility Analyzed marketing data using Statistical Technique. Initiated, developed and tested model for analyzing patent. Model is used as an important tool to rank and to test how good a patent is. Interfaced with Business Analysts and Divisional Staff to gather data requirements. Developed and maintained logical and physical data models. Encapsulated business rules in stored procedures. Risk of spending money on patents was analyzed. Cost analysis and Ad-hoc analysis was run on these data to obtain model. Analyzed marketing campaign using probability statistical technique giving values for the responses and subsequently marketing emails was generated to the potential companies who can fund the research at the University. Statistically analyzed and created reports of Marketing Campaign. Log -linear, Multivariate analysis, Logistic Regression analysis was done using SAS. Reports were generated using SAS/Graph for marketing campaign. Independently coordinated efforts to implement SalesForce CRM Package in organizational unit. Implemented InfoEd Patent portfolio package. Keywords: Cost Analysis, Statistical Modeling, Multivariate Analysis (Factor, PCA, Cluster, Discriminate, Canonical Correlation), Categorical Data Analysis, ANOVA, Linear Models, Logistic Regression Analysis, Database Application From January 2005 to June 2007 (2 years 6 months) Research Assistant & Student (Stat & Math) @ Graduate Student in Statistics Department.Worked as Research Assistant at UNL Office of Technology Development .Reported directly to the Dean of Reasearch From January 2005 to May 2007 (2 years 5 months) Database Analyst @ Responsibility: Designed and developed the initial conversion and Extract/Transform steps for an ETL process which integrates financial data on an ongoing daily basis Utilized PL/SQL developer tool in developing all back end database interfaces. Developed screens and reports using Oracle Forms/Reports 6i/9i. Also developed reports using Pro*C and PL/SQL Utilized SQL*Loader to load flat files database tables. Responsible for SQL tuning and optimization using Analyze, Explain Plan, TKPROF utility and optimizer hints. I was involved writing the functional specifications and doing the data mapping Developed, modified and tested Oracle Forms for their Data Warehouse. These forms were used to make changes to data, which was coming from non-oracle databases Interfaced with Business Analysts and Divisional Staff to gather data requirements. Developed and maintained logical and physical data models. Encapsulated business rules in stored procedures. Keywords: Financial Analysis, Log-Linear Models, Multivariate Analysis (Factor, PCA, Cluster, Discriminant, Canonical Correlation), ANCOVA, Regression Analysis, Oracle 9i, PL/SQL, UNIX Scripting. From April 2004 to December 2004 (9 months) Software Engineer @ From June 2003 to April 2004 (11 months) B.E, Electrical and Electronics @ National Institute of Technology, Trichy From 1997 to 2001 Master's degree, Statistics @ University of Nebraska-LincolnBachelor, Engineering @ Regional Engineering College Surendar Swaminathan is skilled in: Core Java, J2EE, R, Statistical Modeling, Social Media Marketing, SAS, SQL, Predictive Modeling, Forecasting, Data Warehousing, Shell Scripting, Data Analysis, Logistic Regression, Databases, Big Data


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In a nutshell

Surendar Swaminathan's Personality Type

Introversion (I), Intuition (N), Thinking (T), Judging (J)

Average Tenure

2 year(s), 3 month(s)

Surendar Swaminathan's Willingness to Change Jobs

Unlikely

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