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Senior Consultant Resume


  • Seeking a position that draws upon my over 25 years of analytical, technical, consulting, database, data science, big data, performance and advanced analytics skills and experiences.
  • Tech - savvy
  • Business-focused
  • Result-oriented
  • Innovative


  • Data Analysis
  • Predictive Analytics
  • SQL
  • Tableau
  • SQL, R, Python
  • Data Architecture
  • AWS Cloud
  • Big Data, Hadoop
  • Dashboards


  • Business Leadership
  • SQL, R, Python, SAS, Excel, C, C++, Java, Scala, Linux, Excel(advance), MS Office
  • Database Applications, Customer Marketing Applications, Customer journey analysis - customer campaigns, personalized marketing
  • BI reporting using Tableau and Microstrategy
  • Project Management
  • Business - SWOT analysis, Decision Tree analysis, Task analysis
  • Methodology - Agile, CRISP-DM, Project Management
  • Data Architecture - RDBMS, NoSQL database, Virtualization, Hive, Cassandra, HBase, Hadoop, IoT, Presto, Aster, UDA, QueryGrid, AWS, Cloud, On-premise, Data Lake, Sandbox, Data Integration



Senior Consultant


  • participated in various projects related to both in RDBMS and NoSQL environments collaborated with customer, sales team and internal technical team, architects to review customer issues and requirements to resolve database and performance issues consulted customers on logical and physical data modeling and database ecosystem architecture
  • performed technical analysis and provided best practice and recommendations to customers helped customer in new marketing effort to run a series of campaigns to interact with potential and existing subscribers to promote a new suite of advanced data services captured cross-sell and up-sell opportunities using customer online activities assisted with reviewing Technical Design documents in a release.
  • consulted customers on applications using an ecosystem having HBase and Hive, Hadoop and Kafka spent last three years studying and working on advanced analytics solutions for hypothesis testing, directed(supervised) and undirected(unsupervised) data mining using R, Python and SAS; worked on projects for customer segmentation, clustering, sentiment analysis, network path, typing tool, propensity for upsell and cross-sell, discrete experiments, conjoint analysis, price sensitivity, survival analysis, churn, event-driven path analysis

Product Solution Engineer



  • collecting data from database and data warehouse using SQL for analysis resolved and troubleshooted customer database problems, including client, performance, etc data troubleshooting and analysis worked as Performance COE in Confidential organizations for a year and a half certified in Database Administration, Product Development, SQL, Enterprise Database Design achieved Confidential Master status

Senior Software Engineer



  • participated in software engineering of ETL products and Load, Unload, Data Moving products performed and designed Integration testing, Regression testing, Performance testing, Acceptance testing acquainted with Agile methodology and Waterfall methodology
  • Liaison with test team in India

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