Vinamratha Kuttagul-Veeresh

Operations Associate

Atlanta, United States17 yrs 3 mos experience
AI ML PractitionerAI Enabled

Key Highlights

  • Led cloud-native data platform architecture on Azure.
  • Achieved $5M in cost savings through inventory optimization.
  • Improved data-driven decision-making by 30%.
Stackforce AI infers this person is a Data Analytics and Engineering professional with expertise in cloud-native solutions.

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Skills

Core Skills

Data Solution ArchitectureTechnical LeadershipCloud-native ArchitectureData EngineeringData ScienceAnalytics

Other Skills

AzureData ArchitectureDataLake360ObservabilityDeveloper WorkflowsArticulationAzure Synapse AnalyticsData MigrationTechnical ExecutionSARIMAForecastingPredictive AnalyticsData WarehousingInformation TechnologyLarge Language Models (LLM)

About

Confident and driven data analytics professional with expertise in creating effective customer-focused solutions to solve business problems. Demonstrated track record to deliver end-end data pipeline and analytic frameworks providing actionable and impactful insights. Proven ability to clearly communicate plans, status and results at an executive level.

Experience

17 yrs 3 mos
Total Experience
3 yrs 8 mos
Average Tenure
2 yrs 8 mos
Current Experience

Ncr atleos

Data Engineering & Analytics Manager

Sep 2023Present · 2 yrs 8 mos · Hybrid

  • Leading a team of data engineers and architects across data ingestion, transformation, and analytics delivery.
  • Architected and deployed a cloud-native data platform on Azure, supporting 100+ TB of data and 50+ batch and real-time pipelines and enabling data processing in medallion architecture.
  • Defined and executed data strategy in collaboration with C-suite, increasing data-driven decision-making by 30% and reducing redundant work across the company by 45%.
  • Owning enterprise data platform architecture across ingestion, lakehouse, analytics, governance, and AI enablement.
  • Designed and implemented a cloud-native, multi-workspace lakehouse architecture supporting 100+ TB of data and 50+ batch and streaming pipelines.
  • Defined enterprise reference architecture for ingestion, transformation, semantic modeling, and reporting using Azure Fabric, Power BI, and Synapse.
  • Architected and delivered DataLake360 (central admin and observability platform) to streamline developer workflows, reduce manual operations, and increase platform transparency.
  • Established platform reliability practices including data recency dashboards, pipeline health monitoring and alerting, and anomaly detection patterns.
  • Led production adoption of Generative AI utilities for SDLC acceleration (code generation/conversion, optimization, and operational automation), improving delivery speed by 40%.
  • Drove cost-optimized architecture decisions and workload tuning, reducing compute utilization by 50% and storage costs by 20%, enabling ~$1.7M annual savings.
  • Partnered with executive stakeholders to align platform roadmap and modernization priorities with enterprise business outcomes.
Data Solution ArchitectureTechnical Leadership

Ncr corporation

3 roles

Data Engineering and Analytics Lead

Jul 2021Sep 2023 · 2 yrs 2 mos

  • Led strategic migration of Services & Supply Chain Data pipelines from on-premise Teradata and Hadoop to Azure Synapse Analytics, adopting a modern, cloud-native architecture that provided Business access to a self-service and analytics enabled data platform and supported reduced infrastructure costs by 2M USD annually.
  • Executed a multi-faceted and enterprise-wide data lake separation during company split, managing intricate legal, security, functional, and infrastructure requirements to ensure compliance, data integrity, and uninterrupted business operations.
  • Led cross-functional teams of data analysts and engineers to build an end-to-end analytics pipeline (on-prem and cloud) for supply line management and material planning, improving on-time delivery by 8%.
  • Accelerated migration from a legacy planning tool to an enterprise visualization platform, ensuring a seamless transition for business users and achieving $1.7M in annual contract savings.
  • Managed stakeholder relationships and coordinated between different IT teams, balancing competing priorities to keep programs on schedule and aligned with customer requirements.
Technical LeadershipArticulationData Engineering

Senior Data Scientist

Promoted

Jul 2019Jun 2021 · 1 yr 11 mos

  • Full Stack Data Scientist linking business needs to analytical solutions. Proficient in complete data science life cycle of data mining, exploration, analysis, programming, model deployment, visualization and stakeholder communication.
  • Leading an 8-person team of data analysts, engineers and data scientists providing end-to-end solutions enabling cross functional analytics focused on supply chain operational insights and customer satisfaction metrics
  • Built quick to market demand forecasting and inventory prediction analytics and scaled them into production environment.
  • Hand-picked to guide evaluation of new analytics technologies that integrate decision management systems with the enterprise data analytics pipeline facilitating remote resolution and dispatch avoidance programs.
  • Developed and deployed a SARIMA-based forecasting model to project on-hand inventory, scaling it to production and enabling global inventory optimization—resulting in $5M in cost savings.
  • Developed, deployed and presented to the ELT multiple analytical projects related to Global workforce engagement during COVID, Real Estate consolidation opportunities post COVID, and IT tools utilization that supported uninterrupted Business operations during the pandemic.
  • Created Accounts Payable spend forecasting dashboard providing clear visibility to upcoming spend that enabled improved management of cash flow and on time payments to suppliers.
  • Managed program business stakeholder relationships and cross-dependent ITS teams competing priorities to keep program on schedule and meeting customer needs.
ArticulationTechnical ExecutionData ScienceAnalytics

Data Scientist

May 2018Jul 2019 · 1 yr 2 mos

  • Led 6 member Data Analytics team to:
  • Deliver descriptive and predictive analytics to facilitate service of thousands of customers and delivering on contractual SLAs worldwide for Global Field and Remote Services
  • Design and develop analytical model to predict supply chain lead times to ensure date fidelity and meet customer commitments directly improving NPS scores.
Technical ExecutionData Science

Georgia state university - j. mack robinson college of business

2 roles

Graduate Assistant

Nov 2017May 2018 · 6 mos

  • Worked on a research model to analyze if the existing Amazon review system is efficient in consumer decision making and modeled alternate approach to rate product at feature level than product level to eliminate self-selection and biased reviews.
  • Teaching assistant for Java and DBMS.

Masters Student

Aug 2017Jul 2018 · 11 mos

  • Masters student for degree in MSIS - Big Data and Analytics. Developed and enhanced skills in Python, R, Hadoop, Spark, Data Modeling, Machine Learning.

Family

New to Motherhood Pause

Sep 2014Jul 2017 · 2 yrs 10 mos

  • A period in time that made me stronger, wiser, more empathetic, more resilient - an all around better individual.

Kaynes technology india pvt limited

3 roles

Technical Delivery Lead

Sep 2011Aug 2014 · 2 yrs 11 mos

  • Actively interfaced with vendors and senior management for order expediting, capacity planning, and material forecasting to ensure on time delivery. Maintained compliance with critical safety and quality standards.
  • Designed and implemented analytical dashboards to track key business metrics and provide actionable insights decreasing operating cost by 8% and increased sales by 13% over a period of 15 months.

Delivery Lead & Analyst

Promoted

Dec 2009Aug 2011 · 1 yr 8 mos

  • Led new customer realtionship management, requirements, partnered with cross-functional teams to forecast delivery, helped scale the team.
  • Analyzed supply-chain, inventory, operations, sales data of projects; reduced delivery time by 9%, increased profit by 11%.
  • Awarded ‘Achievement of Excellence’ for increasing top and bottom line of business unit and excellent CRM.

Manufacturing Engineer

Sep 2008Nov 2009 · 1 yr 2 mos

  • Develop new analytics dashboards, processes and designs to streamline the manufacturing of high-tech electronic products for Railways.
  • Analyzed line stoppage patterns, built analytical dashboards to identify high-lead time vs high value components in bill of materials to enable supply chain team to negotiate better deals with vendors and carry enough inventory to prevent manufacturing delays.
  • Designed data migration from Excel to SQL Server; gathered requirements for ERP implementation, database design and reports generation.

Education

Georgia State University - J. Mack Robinson College of Business

Master of Science - MS — Big Data and Analytics

Jan 2017Jan 2018

Visvesvaraya Technological University

Bachelor of Engineering - BE — Information Science/Studies

Jan 2004Jan 2008

Georgia State University

Master's degree — Computer/Information Technology Administration and Management

Aug 2017Jul 2018

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