Ramakrishnan M G Email & Phone Number
@infosys.com
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Who is Ramakrishnan M G? Overview
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Ramakrishnan M G is listed as Manager, Innovation and Data Science Services at Kinaxis, a company with 2111 employees, based in Mississauga, Ontario, Canada. AeroLeads shows a work email signal at infosys.com and a matched LinkedIn profile for Ramakrishnan M G.
Ramakrishnan M G previously worked as Manager, Innovation & Data Science Services at Kinaxis and Senior Business Data scientist at Kinaxis. Ramakrishnan M G holds B.Tech, Cse from Amrita School Of Engineering.
Email format at Kinaxis
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AeroLeads found 1 current-domain work email signal for Ramakrishnan M G. Compare company email patterns before reaching out.
About Ramakrishnan M G
15+ years of experience leading and building data-driven solutions across various roles. Proven track record of success in data engineering, data architecture, ETL development, data science, and team leadership. Currently managing a team of talented data scientists and innovators, focused on driving business growth through cutting-edge solutions.Key Skills:Data Engineering (ETL, Data Pipelines, Cloud Platforms)Data Architecture (Big Data, Scalable Systems)Data Science (Machine Learning, Statistical Analysis)Team Leadership & MentorshipInnovation & Problem-Solving
Ramakrishnan M G's current company
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Ramakrishnan M G work experience
A career timeline built from the work history available for this profile.
Manager, Innovation & Data Science Services
Current
Senior Business Data Scientist
- 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.
Business Data Scientist
- 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.
Senior Delivery Engineer
- 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.
Senior Delivery Engineer
Delivery Engineer
Etl Lead / Senior Associate
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.
Etl Lead / Senior Associate
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.
Data Analyst
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.
Senior Systems Engineer
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.
Systems Engineer
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.
Intern
Worked on a research project 'Swarm intelligence searching technique' and implemented the same using DOTNET framework
Colleagues at Kinaxis
Other employees you can reach at kinaxis.com. View company contacts for 2111 employees →
Hridesh Singh
Colleague at Kinaxis
Chakia, Uttar Pradesh, India, India
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TS
Tom Stevens, Mba
Colleague at Kinaxis
Toronto, Ontario, Canada, Canada
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IK
Ilakkiya Kumarasamy
Colleague at Kinaxis
Chennai, Tamil Nadu, India, India
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MD
Martin Dube
Colleague at Kinaxis
Ottawa, Ontario, Canada, Canada
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SK
Saran Kumar Thirunavukkarasu
Colleague at Kinaxis
India, India
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MI
Michael Iannarelli
Colleague at Kinaxis
Mississauga, Ontario, Canada, Canada
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JH
Jeri Herod-Parham
Colleague at Kinaxis
Mesa, Arizona, United States, United States
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ZS
Zara Saliba
Colleague at Kinaxis
Canada, Canada
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권
권오철
Colleague at Kinaxis
South Korea, Korea, Republic Of
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BT
Basavaraj Tadahal
Colleague at Kinaxis
Cork, County Cork, Ireland, Ireland
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Ramakrishnan M G education
B.Tech, Cse
Education record
Frequently asked questions about Ramakrishnan M G
Quick answers generated from the profile data available on this page.
What company does Ramakrishnan M G work for?
Ramakrishnan M G works for Kinaxis.
What is Ramakrishnan M G's role at Kinaxis?
Ramakrishnan M G is listed as Manager, Innovation and Data Science Services at Kinaxis.
What is Ramakrishnan M G's email address?
AeroLeads has found 1 work email signal at @infosys.com for Ramakrishnan M G at Kinaxis.
Where is Ramakrishnan M G based?
Ramakrishnan M G is based in Mississauga, Ontario, Canada while working with Kinaxis.
What companies has Ramakrishnan M G worked for?
Ramakrishnan M G has worked for Kinaxis, Rubikloud Technologies, Cognizant, Cognizant Technology Solutions, and Infosys.
Who are Ramakrishnan M G's colleagues at Kinaxis?
Ramakrishnan M G's colleagues at Kinaxis include Hridesh Singh, Tom Stevens, Mba, Ilakkiya Kumarasamy, Martin Dube, and Saran Kumar Thirunavukkarasu.
How can I contact Ramakrishnan M G?
You can use AeroLeads to view verified contact signals for Ramakrishnan M G at Kinaxis, including work email, phone, and LinkedIn data when available.
What schools did Ramakrishnan M G attend?
Ramakrishnan M G holds B.Tech, Cse from Amrita School Of Engineering.
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