Data Customer

KARTHIKEYAN SUNDARAM

408-***-**** www.linkedin.com/in/skarthi98 *********@*****.***

PROFESSIONAL SUMMARY

Manage multiple projects involving complex Big Data projects, Machine Learning text mining, EDW, Business/behavior intelligence, MDM, data governance, data quality, security & compliances, industry standard best practices

Talent Management – Artful Communicator – Effective Leader – Award winner

Top performance rating throughout the career – Mentored juniors – Managed team size > 15 onshore & offshore.

Strong domain expertise in Financial, E-Commerce, Social, Manufacturing & Healthcare

Heavy hands on experience in Python, NLTK text and Stanford NER and Big data and setting up Kafka clusters

Strong experience in Cloud AWS (Loyal3), Azure (Intuitive Surgical) and Kafka

EDUCATION

Strategic Decision and Risk Management Stanford University

MBA University of Phoenix. Northern California Campus.

EMPLOYMENT HISTORY

Larsen & Toubro Infotech Oct 2016 to present

Principle Solution Architect/Data Scientist, Enterprise Analytics Team for client Intuitive Surgical Inc.

Designed, developed the ML process for the data science & visualization team which includes deep text mining for Da-Vinci Robotic systems. All of our system uses Azure cloud, Azure DW NoSQL

oCategorization and classification customer logs injected from di vinci roborts, and create a customized medical keywords NLP grammar dictionary and thesaurus. Extensive NLTK based WordNet, Stanford based NER was used

oIdentification of PHI information from HIPAA cloud and removal using Stanford NER and NLTK based NER, and stored into Azure blob container.

oNet Promoter score and sentimental analysis for campaigns using Text Blob and NLTK. Also need to find the velocity of rating from 0 to 6 for negative sentiments and rank them.

oClustering of various surgery information that are given to Food and Drug Administration using SVM algorithms

Return Merchandise causation analysis is in POC.

Heavy python hands on is used and various algorithms such as GaussianNB, KNN, Random Forest, Naïve Bayesian, countVectorization were used when creating the models.

Built fully integrated with BI Enterprise Analytics dashboards using Tableau, and Azure NoSQL database with blob containers and azure clusters.

Loyal3 Securities Inc Apr 2015 – May 2016

Principle Solutions Architect/Manager – EDW, Business Intelligence & data science

Delivered scalable, near real time enterprise DW/BI and behavior system using MySQL (later migrated to AWS Dynamo NoSQL), Tableau, Pentaho, python providing significant 80% increase in business decision making process

Managed and monitored day-to-day ETL activities, which includes 30 external API and creation of JSON based micro services for downstream data consumption.

Delivered various executive level dynamic dashboard/KPI metrics which talks about user Acquisitions, Engagements & Monetization based on users, products (IPO and Follow-On), cohorts, NPS, IPO issuer, fraud, stock loyalty index, stock trends, LTV, DRIP and many more

Delivered Operational level dashboards such as visits, visitors, heat maps, average spent time, simple registration, conversions, churns, dormant etc. and many more

Lead the devops team and saved $750K by closing San Francisco/Santa Clara data center and migrate to AWS cloud architecture which includes setting up Kafka instances.

Lead and delivered external portal after IPO launch for customers Kate-Spade, T-Mobile, Virgin American Airlines, Go daddy and many more

Introduced latest technology, out of box features, Docker, python, NLP text mining, 10 node Hadoop/HBase clusters (as POC), and fault tolerant backup & DR systems across AWS California, Oregon and Virginia

Various Hadoop technologies such as Hive, Sqoop, flume and other technologies were used as a part of Hadoop exercises.

EBay Inc. Apr 2010 – Apr 2015

MTS 2 Enterprise Architect– EDW, Big data architecture & Data science

Lead, architect and delivered the Customer DNA subject area, a single source of truth for 140M eBay customers that process 9 to 17 B records per day using Python, 4000 nodes of Hadoop cluster were used. Heavy NLP text mining, Teradata, Micro strategy & Tableau were part of the ecosystem.

Customer DNA delivers information on 150 dimensions from transactions, personalized behaviors such as device dominance, visits, LTV, category flavors, BBOWA with various detailed and summarized scoring using data science algorithms. Internal teams consumes the data to increase revenue and deep analytics

Customer DNA uses 5K nodes of Hadoop out of 40K nodes from eBay Hadoop environment.

Created the eBay’s Meta data management system for 234 subject areas of EDW, to follow the best industry practices, that contains business/technical glossaries, data lineage, data quality, profiling, security & compliance, data governance, naming standards, release process, contacts information, data modeling etc.

Managed and maintained 45 subject areas across 20 cross-functional teams to address day-to-day business operations and enhancements

LinkedIn Inc Sep 2009 – Apr 2010

Sr. Consultant – Data Warehouse & Big Data

Re-architect and designed the new EDW to handle the 50x growth transactions using Oracle, Teradata, Informatica & Micro Strategy to cater deep analytics.

Hourly/Daily KPI indicators, LTV, churn analysis, visits, visitors, time spent, answering polls etc, to provide the pulse of the site to venture capitalists and to top executives

Attended Hadoop conference at Yahoo to learn about the new technology to be used at Linkedin.

PayPal (an eBay Inc.) Apr 2007 to May 2009

Sr. Data Architect – Global Consumer Merchant Service

Designed and architect the Merchant services data mart to cater the needs of 100+M customers for the fast-growing global consumers using Oracle/Teradata, Informatica tools

Supported and handled big customers/partners Chase Payment Tech, Royal Bank of Scotland, South West airlines to cater their day-to-day operations/enhancements via PayPal gateway.

Integrated & delivered button factory, mass mail invoices, subscription, VT into Merchant Service.

Created and delivered various business standards/process driven ETL jobs, MDM, best practices on data quality, business/technical glossaries, naming standards for streamlined releases across GCMS

Podbridge Inc Nov 2006 Apr 2007

Sr. Enterprise Architect, Data Warehouse

Designed, Delivered the new EDW using Postgres, Pentaho ETL tools, MS Sql Reporting, which generates various KPI dashboards, podcast listens, advertisement, subscription of Armstrong & Getty shows, customer churning, conversion rate, peak listens trends.

Worked with external customers/partners Fox, MSNBC, JCPenny, Pepsi to integrate their commercials into podcasting, and generate various summary, detailed metrics/scores that are published in their portal.

Cisco Systems Oct 2005 Oct 2006

Sr. IT Consultant – Customer Insights

Lead and delivered the business requirements of Customer Insights (a part of Campaign management system) to track the campaign launch, leads, fulfillments, promotions, scores for potential sales targets, conversions using Oracle, Informatica tools

Lead the tools consolidation project (migrated to Epiphany lead generation tool) to reduce cost

Sun Microsystems Inc Mar 1996 Oct 2005

Sr. Business Analyst/Data Architect – Sun Aware DW

Lead and worked with cross business teams in consolidating and integrating SMCC DW, Java DW, Sun Micro DW, SunSoft DW into single SunAware EDW using Oracle, Informatica, Business Objects tools.

Created best practices in data modeling standards such as business/technical glossaries across the organization

AWARDS & CONTRIBUTIONS

eBay spot award for the Customer DNA project for Doing the Right Things on handling the PII and sensitive information.

PayPal award for leading and publishing the documentation project for Merchant Technical service.

Cisco Systems award for leading and implementing the tools consolidation project which saved > $5 Million.

Sun Microsystems award for leading, implement the Yugoal system which save > $2 Million

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