TITUS, JINOJ ________________________________________
SUMMARY
- 14+ years of experience in strategic consulting and enterprise implementation in the area of Big Data Analytics, Business performance solutions (Strategy & Performance Measurement, Planning & Forecasting), Data Warehousing & Business Intelligence (BI) and related areas - Master Data Management (MDM), Data Governance and Data Quality.
- A seasoned leader in the application of Big Data and Advanced Analytics, with the responsibility for shaping and delivering solutions across multiple initiatives using agile delivery frameworks.
- Multi-geography experience in US and Canada, working with clients in the Finance, Retail and Manufacturing Industries like Bank of Montreal (BMO), Ciena Corporation, Intercall Inc., Sterling Commerce, 24HR Fitness and Deere & Company. - Demonstrated ability in initiating customer engagements as a consultant, skilled in Analytics Capability Assessment as well as in creating Scorecards, Roadmaps, and business case for engagements. - Skilled in creating Information Architecture Blueprints and Design Specifications for structured and unstructured data-driven business applications. - Successfully implemented comprehensive project management processes to achieve CMMI Level 5 certification (v1.3) in 2012. - Strong leadership and people management skills for motivating, and mentoring multi-disciplined team members to generate high-quality work. - Good exposure in managing projects with Onsite - Offshore model and experienced in managing development teams in US, Canada, India, Mexico, and France. - Excellent Written, Verbal and Interpersonal Communication skills. EDUCATION Master of Management Analytics, Queen’s Smith School of Business, Queen’s University 2015 – 2016 - Analytics Leadership and Project Management, Advanced Analytics Methods, Machine Learning, and Big Data - Third Place in the 2015 IBM Analytics Challenge with a study focused on leveraging IBM Watson for achieving precise customer segmentation with the use of Geo-Tracking technology and classification algorithms. - GPA 4.1/4.3 Bachelor of Technology, Kerala University, India 1998 – 2002 - Computer Science and Engineering with specialization in Distributed Computing SPECIALIZED TRAINING Analytic Insights Foundation Certification, Deloitte 2014 IBM SPSS Modeler and Data Mining Introduction, Deloitte 2015 CONSULTING/TECHNICAL SKILLS Statistical Toolset : R, SAS, IBM SPSS, Watson Analytics Big Data Toolset : IBM BigInsights/BigSQL/BigR, HAWQ, SQOOP, HIVE/HBASE, MongoDB, SPARK Strategic Consulting : Balanced Scorecard, Hyperion Performance Scorecard Planning Tools : Hyperion EPM Suite, Cognos TM1 Databases : Oracle, IBM DB2, IMS-DB, MS SQL Server, Teradata, Hyperion Essbase, IBM Cognos Dynamic Cubes Data Modeling : Sybase Power Designer, Platinum Erwin, Model Right Project Management : Microsoft Project Plan, Team Foundation Serve (TFS) BI Reporting Suites : Cognos BI Suite, SAP Business Objects, OBIEE, Microstrategy, Tableau, Qlikview ETL Tool(s) : Informatica Power Center, Cognos BI, IBM DataStage, SAP/BO Data Integrator PROFESSIONAL EXPERIENCE Manager/Solutions Architect, Deloitte, Toronto, Canada Jul 2014 – Present Big Data Platform: Key leader in delivering the ‘Enterprise Data Lake’ initiative at Deloitte to serve a wide range of workloads and use cases (Big Data integration and advanced analytics POCs). Duration: 5 Months | Budget: $1.2 M | Team: 8 Engineers and 2 data scientists Objective: Agility in enterprise Data Integration (Ingested 40+ sources and delivery to various applications) and enabling a Predictive Analytics sandbox Accomplishments: Building business case, defining the roadmap and project releases with the executive team/Investment Committee, multi-vendor engagement (Request for Proposal, POC execution, evaluation, negotiation and selection), Agile project execution (managing risks/mitigation, Auditing & Error-handling and creation of entity driven semantic layers) and implementation based on the Lambda architecture for multi-latency workloads. …show more content…
Business benefits: Rationalizing the data delivery strategy for enterprise applications, building the foundation for data discovery/analytics, and eliminating the existing data integration platforms to achieve savings of $7M over 3 years
Technology: IBM BigInsights, BigSQL, HIVE, HBASE, BigR, Storm, Kafka, Sqoop, IBM Infosphere/DataStage/IIDR Replication
Advanced Analytics:
Executed POCs to demonstrate the value of a Hypothesis driven framework for Advanced Analytics, leveraging the Big Data Platform at Deloitte. - Talent Diversity Analytics: Built a diversity based Human Capital Leverage Model to identify the drivers of voluntary turnover, actions that drive improved retention, network model to identify connectors and clusters within career levels; Created visualizations to track leading and lagging core metrics for gender movement trends as well as Internal Labor Market Maps. This POC is
SUMMARY
- 14+ years of experience in strategic consulting and enterprise implementation in the area of Big Data Analytics, Business performance solutions (Strategy & Performance Measurement, Planning & Forecasting), Data Warehousing & Business Intelligence (BI) and related areas - Master Data Management (MDM), Data Governance and Data Quality.
- A seasoned leader in the application of Big Data and Advanced Analytics, with the responsibility for shaping and delivering solutions across multiple initiatives using agile delivery frameworks.
- Multi-geography experience in US and Canada, working with clients in the Finance, Retail and Manufacturing Industries like Bank of Montreal (BMO), Ciena Corporation, Intercall Inc., Sterling Commerce, 24HR Fitness and Deere & Company. - Demonstrated ability in initiating customer engagements as a consultant, skilled in Analytics Capability Assessment as well as in creating Scorecards, Roadmaps, and business case for engagements. - Skilled in creating Information Architecture Blueprints and Design Specifications for structured and unstructured data-driven business applications. - Successfully implemented comprehensive project management processes to achieve CMMI Level 5 certification (v1.3) in 2012. - Strong leadership and people management skills for motivating, and mentoring multi-disciplined team members to generate high-quality work. - Good exposure in managing projects with Onsite - Offshore model and experienced in managing development teams in US, Canada, India, Mexico, and France. - Excellent Written, Verbal and Interpersonal Communication skills. EDUCATION Master of Management Analytics, Queen’s Smith School of Business, Queen’s University 2015 – 2016 - Analytics Leadership and Project Management, Advanced Analytics Methods, Machine Learning, and Big Data - Third Place in the 2015 IBM Analytics Challenge with a study focused on leveraging IBM Watson for achieving precise customer segmentation with the use of Geo-Tracking technology and classification algorithms. - GPA 4.1/4.3 Bachelor of Technology, Kerala University, India 1998 – 2002 - Computer Science and Engineering with specialization in Distributed Computing SPECIALIZED TRAINING Analytic Insights Foundation Certification, Deloitte 2014 IBM SPSS Modeler and Data Mining Introduction, Deloitte 2015 CONSULTING/TECHNICAL SKILLS Statistical Toolset : R, SAS, IBM SPSS, Watson Analytics Big Data Toolset : IBM BigInsights/BigSQL/BigR, HAWQ, SQOOP, HIVE/HBASE, MongoDB, SPARK Strategic Consulting : Balanced Scorecard, Hyperion Performance Scorecard Planning Tools : Hyperion EPM Suite, Cognos TM1 Databases : Oracle, IBM DB2, IMS-DB, MS SQL Server, Teradata, Hyperion Essbase, IBM Cognos Dynamic Cubes Data Modeling : Sybase Power Designer, Platinum Erwin, Model Right Project Management : Microsoft Project Plan, Team Foundation Serve (TFS) BI Reporting Suites : Cognos BI Suite, SAP Business Objects, OBIEE, Microstrategy, Tableau, Qlikview ETL Tool(s) : Informatica Power Center, Cognos BI, IBM DataStage, SAP/BO Data Integrator PROFESSIONAL EXPERIENCE Manager/Solutions Architect, Deloitte, Toronto, Canada Jul 2014 – Present Big Data Platform: Key leader in delivering the ‘Enterprise Data Lake’ initiative at Deloitte to serve a wide range of workloads and use cases (Big Data integration and advanced analytics POCs). Duration: 5 Months | Budget: $1.2 M | Team: 8 Engineers and 2 data scientists Objective: Agility in enterprise Data Integration (Ingested 40+ sources and delivery to various applications) and enabling a Predictive Analytics sandbox Accomplishments: Building business case, defining the roadmap and project releases with the executive team/Investment Committee, multi-vendor engagement (Request for Proposal, POC execution, evaluation, negotiation and selection), Agile project execution (managing risks/mitigation, Auditing & Error-handling and creation of entity driven semantic layers) and implementation based on the Lambda architecture for multi-latency workloads. …show more content…
Business benefits: Rationalizing the data delivery strategy for enterprise applications, building the foundation for data discovery/analytics, and eliminating the existing data integration platforms to achieve savings of $7M over 3 years
Technology: IBM BigInsights, BigSQL, HIVE, HBASE, BigR, Storm, Kafka, Sqoop, IBM Infosphere/DataStage/IIDR Replication
Advanced Analytics:
Executed POCs to demonstrate the value of a Hypothesis driven framework for Advanced Analytics, leveraging the Big Data Platform at Deloitte. - Talent Diversity Analytics: Built a diversity based Human Capital Leverage Model to identify the drivers of voluntary turnover, actions that drive improved retention, network model to identify connectors and clusters within career levels; Created visualizations to track leading and lagging core metrics for gender movement trends as well as Internal Labor Market Maps. This POC is