Summary
Overview
Work History
Education
Skills
Accomplishments
Personal Information
Timeline
Generic
NANDAKISHORE KULKARNI

NANDAKISHORE KULKARNI

Bangalore

Summary

Dynamic Senior Analytics Specialist at Philips with expertise in machine learning engineering and team leadership. Achieved significant operational efficiency by integrating GenAI LLM automation and architecting scalable data pipelines. Passionate about transforming data into actionable insights, driving data-driven decision-making, and enhancing system reliability through innovative solutions.

Overview

15
15
years of professional experience

Work History

Senior Analytics Specialist

Philips
Bangalore
04.2021 - Current
  • Directed global engineering team to architect and execute comprehensive enterprise data strategy.
  • Integrated GenAI LLM-based automation into workflows, enhancing system reliability and operational efficiency.
  • Designed scalable data pipelines and ETL architectures to strengthen analytics and facilitate data-driven decision-making.
  • Implemented AI-powered observability frameworks using Grafana and Kubernetes for proactive failure detection.
  • Led predictive maintenance initiatives with meta-model frameworks to minimize system downtime.
  • Developed LLM-driven effort estimation solution, automating requirement engineering to streamline workloads.
  • Architected full-stack observability framework for AI image recognition, improving system transparency and reliability.
  • Engineered automated operational workflows and high-impact executive dashboards, transforming raw enterprise data into actionable insights.

Technology Lead

Infosys
04.2015 - 04.2021
  • Architected and deployed machine learning and NLP solutions across retail and beverage sectors, enhancing predictive accuracy and analytics capabilities.
  • Led adoption of cloud-native BI and ML platforms, strengthening enterprise analytics infrastructure for data-driven decision making.
  • Developed demand forecasting model for B2B beverage sector, achieving recognition as intellectual property.
  • Built ML-based order management solution, improving operational efficiency for global retailer.
  • Integrated machine learning insights into client workflows, enhancing service delivery and operational performance.
  • Designed ML-driven order classification system for global retail client, increasing processing accuracy and efficiency.
  • Created demand forecasting and classification models, establishing a recognized solution for B2B beverage domain.
  • Optimized operational processes through strategic implementation of machine learning technologies.

Member Technical Staff

Oracle
12.2011 - 04.2015
  • Developed scalable data warehousing solutions that increased business intelligence accessibility for stakeholders.
  • Engineered Oracle BI Applications (CRM) through design of optimized ETL processes and enterprise dashboards, enhancing data-driven insights.
  • Automated ETL monitoring and validation workflows, increasing data accuracy and reporting reliability.
  • Delivered interactive reports and visualization solutions that facilitated informed decision-making across the enterprise.

Education

PG Diploma - Data Science

IIIT
Bangalore
08-2018

Masters of Engineering - Software Systems

Birla Institute Of Technology And Science, BITS
Pilani, Rajasthan
12-2011

Skills

  • Machine learning development
  • Data visualization and analysis
  • Statistical analysis techniques
  • Forecasting methods
  • ETL workflows
  • Grafana monitoring solutions
  • Architectural solutions design
  • Process efficiency improvement
  • Python and SQL coding
  • Requirements gathering and analysis
  • Adaptability and problem-solving skills
  • Leadership and team communication
  • Scalable pipeline development
  • Machine learning applications
  • Strategic data management
  • Predictive maintenance strategies
  • Data storage solutions
  • Business intelligence tools
  • Forecasting demand trends
  • Communication effectiveness in teams
  • Technical writing skills
  • Automation of workflows

Accomplishments

  • Predictive Maintenance Model - helped identify equipment failures before production, reducing downtime.,

    Data Analytics Automation - created a unified data view for better insights and efficiency.,

    Requirement Engineering Improvements - reduced time to complete processes from multiple days to a few hours.

Personal Information

Date of Birth: 11/01/86

Timeline

Senior Analytics Specialist

Philips
04.2021 - Current

Technology Lead

Infosys
04.2015 - 04.2021

Member Technical Staff

Oracle
12.2011 - 04.2015

PG Diploma - Data Science

IIIT

Masters of Engineering - Software Systems

Birla Institute Of Technology And Science, BITS
NANDAKISHORE KULKARNI