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Data Scientist

Cary, NC
December 30, 2019

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**** ******** ***** ****, ****, NC 27511 408-***-****

Data Science AI ML

Professional Profile Summary:

More than 20 years of experience in the data world as a data professional with roles in data architecture; data modelling; database applications; data warehousing; data analytics/statistics and data science. The most relevant features of my experience currently are:

Applying AI/ML and statistics to transactional/BI/Web data for predictions

Applying technical and academic knowledge of research methods

Conceptualize AI solutions to solve business problems

Data Governance and Data Quality

Data Architecture of transactional and business intelligence entities and processes

Consult businesses for their AI roadmaps

Technical Skills Exposure:

Area/Skill Description Experience


AI Languages Python

R Machine Learning and Data Mining





Languages SQL, PL/SQL, Power XLS user 20

Data Analytics and statistics Oracle Analytics; SPSS 10 Oracle Applications Development 10.7, 11.x, Oracle ERP Oracle eBusiness Suite 10 Oracle Business Intelligence 9i, 10g 7

Data Architect Model, Erwin, Sybase Power Designer, AutoSys, size and implement database application and data warehouse entities 17

Data Warehousing Features Materialized Views; Partitioned Tables/Indexes; Cubes; Oracle Analytics; Oracle Parallel Processing for Apps 14

Oracle Database 7.x, 8.x, 9.x, 10.x, 11.x 17

MS SQL Server Database 2008 2

MySQL 5.5; 6.0 2

Vertica HP Vertica 1

Database Monitoring Tools OEM, TOAD, SQL Developer 16 SQL (big query) Tuning Analyzer; TKPROF; Statspack, SQL Navigator/TOAD 16 Data Management Tools Oracle imp/exp; SQL*Loader; Excel Gateway; Workflows 15 Project Management Tools CPM/PERT; MS Projects; Oracle Projects 11 OS used for development AWS, Unix on Sun Solaris, Linux; Windows; Mac 10 – 22 AI/ML Solutions Designer Pointed solutions for business problems 15 Business facing Technical Consultant Customer Interactions and selling the product/service ideas 12 Work Experience: Consulting

Zineone San Jose, CA, USA/Mumbai India

Data Scientist 02/2019-date

Build the in-house AI capability to predict various events in customer engagement o Propensity to buy; Abandonment of cart; Price Elasticity; Browse only

Mentor team on AI techniques

MoneyTap Bangalore, India

Data Scientist 11/2017-01/2019

Build AI models to assess credit worthiness and credit fraud

Build NLP models for predicting salary and cash flow of individuals seeking loan

Build statistical model to spread risk/revenue amongst credit providing banks

Hire and mentor team on AI techniques

Bank of America Charlotte, NC, USA

Data Architect/Scientist 06/2014-02/2015

Data Modelling the credit product for the bank

Data Architecture – data science and data quality Tangence San Jose, CA, USA and Noida, India

VP Engineering 12/2012 – 06/2014

Data Model

Successfully launched and stabilised the web/mobile product

Migrated the original start-up product to a scalable database model Product Development

Implemented and owner of Agile Kanban style of SDLC Consultant

Propietor 1/2008 – 12/2012

Data Analytics/ML

Predictive Analytics and Business Statistics on business transactional data o Health Insurance Claims data – the analytics revealed areas of high cost and what to do, using events and diagnosis (ICD9), ADL and after event services data from the electronic health record o Hotel Chains – the reservations data was used to predict periods of low demand using ADR and RevPAR which helped reallocate channel efforts

o Hospital EMR data – the analytics revealed patterns of readmission and NND, and what to do using diagnosis, MSDRGs and physician data from the electronic medical record o On-line University Admission – developed predictive analytics to forecast future class size based on velocity of leads through different stages

o Emergency Room data – the study pointed to when and how the ER beds could become available again o Other Industries served – Media, on-line Advertising, Steel, Sports, Hair, Movies, start ups

Enabled businesses transition step-by-step towards analytics

Collaborate with owners/stakeholders on execution of analytic projects Data Architecture

Implemented Data WareHouse models on customer data to enable higher analytics

Implemented Data Quality process for customer database entities Work Experience: Corporate

Oracle Corporation, Redwood Shores, CA 6/1997 – 12/2007 Senior Technical Leader 2006 – 2007

Implemented and enforced Oracle Applications Coding Standards

Mentor for tuning performance of high volume data and Analytics Development Manager 2003 – 2006

Built and led team to deliver Performance SLA of the tech-stack for Oracle Projects Suite

Delivered Analytic Reporting of Performance Issues through automated testing and issue logging Team Lead 1997 – 2002

Architect of Data Warehouse and Business Intelligence modules for Project Forecasting and Analytics

Developed expertise in data structures for handling high volume data and complex queries

Deployed Data Governance for Data Quality, ETL Controls and Change Management

Hand-picked for product development of the integration product between i2 Technologies and Oracle ERP Kaku Associates, Inc., Santa Monica, CA

Transportation Engineer 6/1995 – 6/1997

Studied traffic scenarios up to 20 years into the future using Discrete Choice Model simulations

Collaborated with governments agencies – LA DOT, HI DOT – to tune their traffic simulation models Work Experience: Research

University of California, Berkeley, CA

Graduate Researcher 1/1992 – 5/1995

Data Analytics/Statistics

Extensively researched census data (time series) using SAS leading to publication of statistical models Education:

PhD. Candidate Transportation Engineering, (Minor: Economics) University of California, Berkeley

ME Civil Engineering, University of California, Berkeley 1/1993 – 5/1995

MS Transportation Science, University of California, Berkeley 1/1992 – 12/1992

BTech Civil Engineering, Indian Institute of Technology, Delhi 7/1985 – 5/1989 Publications (co author):

The Air Quality Impacts of Urban Highway Capacity Expansion: Traffic Generation and Land Use Change

Freeway Expansion and Land Development: An Empirical Analysis of Transportation Corridors

Electric bus operation and evaluation in California

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