Sunanda Kumar Ghosh

About Sunanda Kumar Ghosh

With over 5 years in Data Science and MLOps and over 10 years in IT industry, I bring extensive expertise in delivering end-to-end machine learning solutions, optimizing cloud resources, and developing advanced ETL pipelines. I specialize in using ML models for predictive analytics and operational efficiency, particularly within cloud and containerized environments. My recent focus has been on Kubernetes optimization and cloud migration, working across platforms like AWS, Azure, and Kubernetes with tools such as XGBoost, Holt-Winters, and Spark for machine learning pipelines.Recent Projects and Key Achievements:1. Kubernetes Optimization via Spark ETL and ML PipelinesDeveloped robust ETL and ML pipelines in PySpark for container optimization within Kubernetes environments. Leveraging models like XGBoost and Holt-Winters, I forecasted crucial K8s metrics, enabling effective container optimization recommendations.Tools & Technologies: Python, PySpark, ElasticSearch, MongoDB, MySQL, Docker, EKS, Jenkins, Prometheus, Thanos, S3.Service Identification with LLMs for DiscoveryLed the creation of service identification and application bundling rules by utilizing advanced techniques like few-shot and zero-shot learning. I collaborated with discovery teams to build AI-driven insights from process names and path data.Tools & Technologies: Python, OpenAI GPT-4, Few-Shot Learning, GPT Fine-Tuning.2. Cloud Migration from AWS SageMaker to Azure MLSpearheaded a complex SageMaker to Azure ML migration for a major Mexican banking client, where I recreated and validated ML pipelines, ensuring seamless integration with Azure ML and Docker for reproducibility.Tools & Technologies: Python, Azure ML, AWS SageMaker, S3, Azure Data Lake, MongoDB.3.SageMaker Optimization for Resource EfficiencyDeveloped and deployed a scoring mechanism using WISE to optimize SageMaker jobs, significantly enhancing the performance and cost-efficiency of training, processing, and transform jobs.Tools & Technologies: Python, WISE Scoring, Boto3, S3, MongoDB.Core Skills:Programming & ML Libraries: Python (Pandas, Scikit-Learn, PySpark, XGBoost), SQL, NLTK, Statsmodels.Cloud & DevOps Platforms: AWS (SageMaker, EKS, S3), Azure (ML, Synapse Analytics, DevOps), GCP, Docker, Jenkins, Prometheus, Thanos.Machine Learning Expertise: Predictive Modelling, Time Series Forecasting, NLP, Hyperparameter Tuning, Model Interpretability (SHAP), Bayesian Optimization.MLOps & CI/CD: Design and implement CI/CD pipelines, ETL integration, pipeline optimization, monitoring, and debugging.

Experience

1. Sr Mlops Consultant

   Capgemini Invent

   Nov 2025 — Present · Mumbai, IN

Education

• Great Lakes Institute of Management

  PGP - Data Science and Business Analytics, Data Science, Machine Learning, Statistics, Deep Learning

  2020 — 2021

• Kendriya Vidyalaya

  Foundation degree, Mathematics and Computer Science

  1997 — 2009

• Kalinga Institute of Industrial Technology (KIIT), Bhubaneswar

  Bachelor of Technology (B.Tech.), Electrical and Electronics Engineering

  2009 — 2013

• Birla Institute of Technology and Science, Pilani

  Master of Technology - MTech, Artificial Intelligence and Machine Learning

• IIM Lucknow IPMX (One Year MBA)

  Master of Business Administration - MBA, Business Administration and Management, General

Skills

• Microsoft Word
• Microsoft Office
• Cobol
• Ibm Db2
• C
• Programming
• Ims Db/Dc
• Mainframe
• Sql
• Teamwork
• Team Management
• Job Control Language (Jcl)
• English
• Microsoft Excel
• Powerpoint
• Windows
• Db2
• Html
• Core Java
• Testing
• Management
• Jcl
• Java
• Leadership
• C++