Data Customer Service

Sundar Rama

*** **** ** ****** **** Sunnyvale CA 94087 P: 408-***-**** ***********@*****.***

Senior Research Data Scientist / Advanced Analytics Leader

PROFILE SUMMARY

High-performing professional in providing Big Data Science & Analytics research

Experienced in statistical, econometric, and quantitative data analysis techniques

Skilled in developing digital transformation strategy and implementable roadmap

Strong data science skills in modeling and developing machine learning algorithms

23 years of IT experience in delivering E2E analytics for digitally challenging enterprises

Exceptional project management and delivery experience in various data research projects

Expert in end-to-end framework for data discovery, transformation, modeling, and management

CORE COMPETENCIES

Top tier (Big 3) consulting experience in business development

Expert in developing complex mathematical models for big data analysis

Strong work experience in transforming big data into decision making analytics

Experienced in solving complex problems utilizing data, processes and technology

Managed eight projects, ~25 resources, 200-450 KPI driven analytics and generated $15M-30M

ACCOMPLISHMENTS

Engineered supply chain spend analytics using various statistical models

Executed a digital strategy and enabled multi-channel digital capabilities

Developed data models to translate zettabytes of data into decision making facts

Managed and delivered state of the art data processing solution for manufacturing sectors

Prevented ~$50M loss by delivering data management and predictive analytics solution

FUNCTIONAL EXPERTISE

Classification analysis

Enterprise digital strategy

Machine learning algorithms

Digital transformation strategy

Advanced data research & Analytics

Statistical analysis

Explorative analysis

CHAID, C&RT, QUEST

Correlations and prediction

Data mining and Predictive Intelligence

TECHNICAL EXPERTISE

Hadoop, HDFS, MapReduce

ANOVA, Bayesian probability

Scala, Spark, python, R, PyCharm

Mathematica, Statistica, GnuPlot

MongoDB, NoSql, Pig, Hive, HBase

Mahout, Recommender Architecture

Yarn, Zookeeper, Oozie, Sqoop, Flume

IBM Watson Analytics

Pentago ETL and analytics

Java, Ruby, C/C++, PL/SQL

InfoSphere MDM, DB2, WMQ

MDM, Fusion, ODI, Siebel UCM

Octave, Scala /SCP/Eclipse IDE

PROFESSIONAL EXPERIENCE

ABB Ltd - Senior Data Scientist Feb 2015 - Present

Responsible for defining and delivering analytics on big data generated by massive parallel processing computing devices, sensors, telematics. Key accomplishments are:

Created statistical models for Machine Learning Systems

Developed digital strategy for IoT digital transformation project

Processed sensor streaming data into business insights to plan, and predict futures

Developed complete digital roadmap for 5 years digital transformation and analytics activities

Capgemini LLC - Information Management Lead Dec 2012 - Feb 2015

Collaborated with Oshkosh Corporation CIO & team to improve business performance, identify key issues, cost saving opportunities and presented data analytics PoC to the CIO & team.

Delivered customer analytics and location intelligence

Analyzed terabytes of structured and unstructured data using big data technology1

Delivered spend analysis and data enrichment solution for manufacturing industries

Architected end to end data analysis processes for warranty, item customer and supplier data

Defined data lineage model between supply chain, logistics, purchasing and fulfillment processes

Level Three - Enterprise Data Lead Sep 2011 - Nov 2012

Responsible for defining data strategy and delivering business insights, predictive analysis. Developed and delivered a single collaborative environment for data analysts and business users.

Transformed multiple set of business scenarios to implementable modules

Designed data ingestion techniques for real time and batch processes using hadoop

Designed solution to monitor quality control processes and learn predicting problems

Performed statistical analysis using programs such as R, Pig, Python and other big data tools

Implemented analytics for large volume of structured and unstructured data using HDFS clusters

Ernst & Young LLP - Senior Manager Jan 2010 - Aug 2011

Responsible for developing a strong data management team and managed day-to-day expectations with executives and project sponsors. Key accomplishments are:

Designed statistical analysis for high volume transactional data

Developed a strong MDM team and data analysis methodologies

Defined data analysis processes using enterprise data for predictive analytics

Accenture LLC - Management Executive Jun 2006 - Dec 2009

Led data management team and delivered data flows, security & compliance KPIs, business intelligence solution, large data warehouse solution, and methodologies including data quality enrichment and governance.

Defined process to identify, classify and analyze large volume of retail data

Delivered data visualization and decision making project using big data technology

Acted as an advocate between business and IT leaders and consolidated business processes

IBM Corporation - Principal Architect Dec 2000 - Jul 2006

Responsible for analyzing customer information, and transforming customer data into 360 view insights. In addition, these insights are visually to the business using visual analytics.

Analyzed, profiled and converted data from 21 applications and integrated with MDM

Implemented near real time customer analytics architecture for more than 300TB data

Implemented three data transformation projects using real-time conversion techniques

Covansys Inc. - Project Delivery Lead Feb 1998 - Nov 2000

Extensively worked in various business intelligence analytics, and data intelligence projects. Key accomplishments are:

Delivered data analysis platform that perform data science on large volume of data

Architected data processing model for large financial transaction datasets (American Express)

Delivered end-to-end data transformation and data flow process for an AP/AR financial system

A. P. Moller Maersk Group - Regional Lead – Systems Feb 1994 - Jan 1998

Designed financial reporting system and consolidated financial data across the 26 systems and measured 248 decision driving KPI by utilizing various mathematical algorithms. Delivered applications using multithread JAVA, C, Cython, python, S (now it is ‘R’), and C++ code to analyze millions of item, customer, and revenue and geo spatial information.

Physical Research Laboratory - Research Scientist Sep 1992 - Jan 1994

Studied satellite collected data from NASA, radio telescopes around the world, and researchers in over a decade. Processed astronomical amounts of data and developed mathematical models using advanced statistical methods. Performed numerical analysis on various statistics & probability model s. (List of data tools used: Mathematica®, Statistica, GnuPlot, Octave-, IRAF – Astronomical data analysis software)

Classified astronomical objects based on multivariable analysis using satellite collected data

Built classification and regression trees for predicting space objects and observation data

EDUCATION

Master of Science (M.S.) 1990 - 1992

Bachelor of Science (B.S) 1986 - 1989

Graduate in Information Technology 1992 - 1994

INDUSTRIES SERVICED

Gas and Oil, Manufacturing, Logistics & Transportation, Research & Development, Insurance, Banking, Retail, Media, Communication, Media & High Tech, Pharmaceuticals, Healthcare, Financial Services.

CSR – Customer Service Rep, RT- Real time, ESB – Enterprise Service Bus, IoT – Internet of Things, BDMA – Big Data Management and Analytics, DTS – Digital Transformation Strategy, CHAID - Chi-Square Automatic Interaction Detector, MDM – Master Data Management, C&RT - Classification and Regression Trees, QUEST - Quick, Unbiased, Efficient Statistical Trees; IRAF – Image Reduction and Analysis Facility (Astronomical data analysis), NASA – National Aeronautics and Space Administration, HDFS – Hadoop Distributed File System, R – R programming language, TB- Terabytes, AP-Account payable, AR – Account Receivable, PoC – Proof of Concept, ANOVA – Analysis Of VAriations, KPI – Key Performance Indicators, E2E – End to End;

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