Ramakrishnan M G Email & Phone Number

Mississauga, On, Ca

Mississauga, On, Ca

Greater Toronto Area, Canada

Toronto, Ontario, Canada

• Responsible for developing cutting edge expertise in Kinaixs’ AI/ML capabilities to translate customer’s business needs into actionable insights that can drive business improvements.• Leading customer to define and implement value metrics and KPIs that will demonstrate visible business success.• Evaluating and measuring models outputs to ensure client requirements are met and drive continuous value.• Delivering ML implementation projects to customers and work product and R&D teams to set up and fine tune models to produce end results, ensuring successful go lives to enable value generation.• Supporting services sales with review and modifications of the statement of works, including project timelines and approaches, implementation plans and deployment concepts for implementation improvements.• Provide planning, strategy, and data science guidance to the larger professional services organization.• Developing and mentoring a team of Business Data Scientists and Technology consultants to groom them into future leaders.• Provide on-going support and thought leadership to customers to continually improve their AI/ML models by demonstrating and delivering value.• Collaborating with cross functional teams of Product Data Scientists, ML directors and customer business and IT to complete ML projects.• Work with Product development and R&D in shaping the product roadmap and provide thought leadership content and points of view on industry trends.

Toronto, Ontario, Canada

• Tasked with interpreting customer business requirements to derive actionable insights utilizing Kinaixs’ AI/ML capabilities.• Tasked with assessing and monitoring model outputs to uphold client specifications and foster continuous value.• Tasked with executing ML implementation projects for clients, collaborating with product and R&D teams to refine models and ensure successful deployment.• Collaborating with cross-functional teams comprising Product Data Scientists, ML directors, and customer business and IT personnel to finalize ML initiatives.• Engaging with Product development and R&D to shape the product roadmap.• Assisting in services sales by reviewing and refining statements of work, including project timelines, approaches, implementation plans, and deployment strategies for enhancement.

Toronto, Ontario, Canada

• Collaborated with solution engineers, analysts, devops engineers, and client managers to facilitate client onboarding onto our Technology platform.• Orchestrated in-depth customer requirement workshops and crafted integration requirement specifications.• Implemented data ingestion pipelines utilizing big data technologies.• Formulated a data validation framework to ensure data quality, leveraging the latest big data technologies.• Established and standardized procedures for delivering new products and capabilities through big data technologies, covering data ingestion, transformation, and analysis.• Designed and standardized processes for Client Data Readiness & Data assessment to facilitate client onboarding to our ML platform.• Created a standardized ‘Data profiling’ methodology to aid in business data validation.• Maintained and enhanced existing production processes while focusing on improving key metrics such as performance, scalability, extensibility, stability, and fault tolerance.• Presented findings and insights to clients using Dashboards (BI tools).• Supported services sales opportunities as a technical leader, collaborating with Account Executives and Client Partners.• Provided guidance and mentorship to Delivery Engineers.

Toronto, Canada Area

Toronto, Canada Area

Mississauga, Ontario, Canada

This project is for PepsiCo Foods Canada division. Currently there are various legacy database data marts existing for business reporting with inconsistent information, and there are more than 10 business departments within the foods division having no automatic provision to share information across these groups. So, customer needs to build enterprise data warehouse to integrate all food division data. This technology keeps data in PepsiCo integrated, and from there departmental data marts need to be created to have single version of truth and also information can be shared across departments. The project scope is to integrate data marts into enterprise data warehouse, build new departmental data marts, change the existing reports to be compatible with new data structures, data feeds into regulatory bodies and third parties, and then retire the legacy applications.Environment:Informatica 9.5.1 /10 , Teradata, Oracle, UNIX, ControlMResponsibilities :Requirements gathering and project setupDevelopment and maintenance of tools like Workflow Generator, IATICA and Table Generation Automation.Development and maintenance of PepsiCo Foods Canada Specific module in Cognizant’s proprietary Tool ‘Platinum’.Resource estimation and Project planning from ETL front.Design discussion with clients and coming up with Technical Design solution.Involved in the development of for data mapping between the source and Enterprise Data warehouse using Informatica PowercenterCode review and coding standard validationAssisting in tuning the performance at both ETL (Informatica) and DB (Oracle/Teradata) endControlM schedule creation and execution monitoring and maintenance support for code in production

Hyderabad Area, India

Targeted Distribution - MillerCoorsProduct level analysis was required to increase the production and distribution of specific brands with higher sale ratio across various Outlets in the US. Using ETL mapping the sale data and product level information and various master data is to be brought into the system and after analyzing the data, specific programs are to be created and the status of these programs are to be tracked Environment:Datastage Server edition, Teradata, SQL server, UNIXResponsibilities:Off-Shore lead for Entire EIM Unit – POC for Data modeling team, ETL team and Testing TeamDeveloping ETL framework to handle exceptions and facilitate Audit managementDeveloping the ETL mappings for extracting Master data from various source systemsTemplate creation for Source to target mapping and Data flow diagramETL code/document reviewDeveloping BTEQ scripts for Data movement from target to Semantic Layer(for downstream)Providing inputs to ETL testing and Functional testing teamExplaining the Logic/Business and providing optimized Queries for the BO Universe (Downstream)Validating report generated in BODeveloping the deployment plan and facilitating UAT and production code movement.Resource estimation and Project planning from ETL front

Hyderabad Area, India

PepsiCo – Weather Based Opportunity AnalysisDescription : Sale of a product is influenced by various factors and weather is definitely one of them. There is a need to analyse the impact of weather on sales and based on that come up with a model to forecast sale for the next week and modify the distribution plan based on the same.Environment:R, R-StudioResponsibilities:Source Data Analysis.Extraction, cleansing and loading of source data from various channels to the datasets within R.Drawing the statistics to confirm the correlation of weather to sales.Identifying the other correlation factors for the sale and removing their dependencies – Regression Analysis.Developing an entry level Predictive Analytical model to forecast sales based on Geography and Weather.Visualization of Forecasted sale and distribution.Providing insights of the model to Reporting team (Business Objects) .

Hyderabad Area, India

End to end involvement for Finacle Operational Data Store (Finacle ODS) product development.Involved in functional analysis of key modules like Accounts ,Trade finance ,Treasury, Loans-Involved in Technical analysis–Worked in designing the various ETL models in the product and downstreamPlayed a key role in tuning the performance in Datastage and DatabaseDeveloped various internal tools to help data modelers, developers and testers and thus increased productivity in the project.Lead the POC team(Team size 5) that developed the mapping for all the batches of ODSLead the design team(Team size 25) for two releases of the productLead the System testing team for multiple releases in the productWorked for Pre-sales team and provided design overview to clients and prospectsPlayed key role in designing, coding, implementation and product deployment for implementationOnsite offshore coordination

Hyderabad Area, India

End to end involvement for Finacle Operational Data Store (Finacle ODS) product development.Involved in functional analysis of key modules like Accounts ,Trade finance ,Treasury, Loans-Involved in Technical analysis–Worked in designing the various ETL models in the product and downstreamPlayed a key role in tuning the performance in Datastage and DatabaseDeveloped various internal tools to help data modelers, developers and testers and thus increased productivity in the project.Lead the POC team(Team size 5) that developed the mapping for all the batches of ODSLead the design team(Team size 25) for two releases of the productLead the System testing team for multiple releases in the productWorked for Pre-sales team and provided design overview to clients and prospectsPlayed key role in designing, coding, implementation and product deployment for implementationOnsite offshore coordination

Worked on a research project 'Swarm intelligence searching technique' and implemented the same using DOTNET framework

B.Tech, Cse

Activities and Societies: Web designing for College cultural events

Education record