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Data Scientist

San Jose, California, United States
May 20, 2017

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Over ** years in consulting with hands-on experience in statistical analysis and machine learning using industry-wide statistical tools

Provide data-driven insights to clients for decision making purposes

Advise on new analytics technologies to help clients achieve business goals

Support business development team by identifying analytics service offerings for clients and creating use cases to solve business issues


Python’s NLTK & SKLearn, R, Apache Spark, NoSQL (MongoDB), Hadoop, Tableau, SAS


Graduate Certificate, Data Mining & Applications, Stanford University – 2018

MS, Applied Economics and Statistics, UC Santa Cruz – 1999


Apache Spark – UC Berkeley 2017 (in progress)

Machine Learning – University of Washington 2016

Hadoop and Big Data – IBM 2014

BI and SAS Analytics Software – UC Berkeley 2014


HPE, Data Management & Analytics, Palo Alto, CA Jul’2014 to date Lead Data Scientist

For a global financial services provider, created:

oPattern detection model to find hidden patterns in transaction rejections using clustering techniques, association rule, decision trees, etc.

oA pipeline of models assessing the best performing based on statistical metrics

For a national foodservice provider, developed:

oPurchase patterns using market basket, POS and store performance analyses to bundle products and achieve optimal ROI

oDashboards for stakeholders to monitor KPIs

For a giant retail merchandiser, built:

oProduct recommender system using collaborative filtering methods

oSentiment classifier model to predict reviews

For a global manufacturing company: developed topic models to analyze the transcripts of its call centers

For a giant e-Commerce company, built: an intelligent review engine to automate marketing campaigns utilizing customers’ testimonials and reviews

Wells Fargo, San Francisco, CA Jan’2012 to Jun’2014

Analytic Consultant

Developed a logistic regression predictive model that estimated the probability of the future default of loan applicants using SAS data mining techniques

Gathered requirements and matched business problems with modeling solutions

Provided data driven insights for decision making purposes.

Used SAS ODS for data visualization, maintained dashboards, metrics, and reports

SriSaiSAP Inc, Fremont, CA Jan’2000 to Dec’2011

Managing Consultant - SAP Implementations

Managed a team of FI/CO consultants.

Identified workflow and business process requirements and related solutions over a complete business process including obtaining approvals, documentation, testing and training staff.

Conducted business process evaluations by interviewing internal and external customers to gain technical knowledge of business requirements.

Identified problems, researched alternatives, prepared presentations, drove and implemented solutions for clients.

Customized financial reports, analyzed data and reported vital information to management and business partners.

Prepared end-user documentation and conducted end-user training.

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