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Cloud, Data & AI Engineer

Cloud, Data & AI Engineer with experience building data and machine-learning solutions, from data pipelines to cloud-based AI systems.

Since January 2026, I have been a Guest Professor / Intervenant at SKEMA Business School, teaching postgraduate Python, Machine Learning, NLP, Generative AI, Cloud Engineering, MLOps, and production systems.

Let's Talk!

About

Professional profile

Cloud, Data & AI Engineer

I build Python backend services, REST APIs, data pipelines, and cloud-native applications for production systems.

Based in Paris, France

Current role Guest Professor / Intervenant — Python, Data, AI & Cloud

Languages English · French · Tamil

Since , I have taught postgraduate Python, Machine Learning, NLP, Generative AI, Cloud Engineering, MLOps, and production systems at SKEMA Business School.

LinkedIn GitHub
Portrait of Sugumaran Balasubramaniyan

Experience

  • Professor (Data Analytics & BI)

    SKEMA Business School, Paris, France

    – Present

    • Lead instructor for Data Analytics, Business Intelligence, and SQL courses using Power BI, Python, and machine learning.
    • Design hands-on projects for data pipelines, machine-learning models, and dashboards.

  • Data / AI Engineer (Freelance)

    The Validate, Paris, France

    –

    • Architected AWS data pipelines using Glue, Lambda, and S3 for analytical use cases.
    • Implemented MLflow-based model governance and versioning on AWS SageMaker.

  • Data Analyst / Engineer

    Joubert Associés, Paris, France

    –

    • Designed executive Power BI dashboards and optimized SQL queries.
    • Planned and executed A/B testing for marketing campaigns.

  • Data Analyst / Engineer

    Capgemini Technology Services, Chennai, India

    –

    • Automated ETL pipelines with AWS Glue and Python for AI and machine-learning workflows.
    • Implemented MLflow-based model governance and versioning with AWS SageMaker.

  • Data Analyst

    Infosys, Chennai, India

    –

    • Performed risk-management analysis for Citizens Bank using Python and statistical modeling.
    • Mentored junior analysts on Python and SQL practices.

  • Analyst

    Arimalytics, Puducherry, India

    –

    • Built predictive models for manufacturing inventory requirements and machine-failure forecasting.

Education

  • MSc Data Science & AI Strategy

    emlyon business school, Paris, France

    –

  • Exchange: Data Science, IoT, Big Data Analytics

    McGill University, Montréal, Canada

    –

  • Master of Business Administration

    Pondicherry University, India

    –

  • Bachelor of Technology

    Pondicherry University, India

    –

</Certs>

  • AWS Machine Learning Engineer Associate

    Amazon Web Services

    • Credential covering machine learning engineering on AWS.
    • Covers model development, deployment, and operations concepts.

  • AWS Cloud Practitioner

    Amazon Web Services

    • Credential covering foundational AWS cloud concepts.
    • Covers AWS services, pricing, and shared responsibility concepts.

  • Databricks AI Agents

    Databricks Academy

    • Credential covering AI agent concepts on Databricks.
    • Covers agent workflows, prompts, and tool use.

  • Snowflake Data Warehousing

    Snowflake University

    • Credential covering Snowflake data warehousing concepts.
    • Covers data modeling, queries, and data sharing features.

  • AWS GenAI Practitioner

    Amazon Web Services

    • Credential covering generative AI concepts on AWS.
    • Covers foundation models and responsible AI concepts.

  • Dataiku ML Practitioner

    Dataiku Academy

    • Credential covering machine learning workflows in Dataiku.
    • Covers visual modeling and model evaluation concepts.

  • Dataiku Developer

    Dataiku Academy

    • Credential covering Dataiku development concepts.
    • Covers plugins, recipes, and external data connections.

  • Atlassian Agile Project Management Professional

    Atlassian Academy

    • Credential covering agile project management concepts.
    • Covers planning, backlogs, and team collaboration workflows.

  • Microsoft Power BI Data Analyst Associate (PL-300)

    Microsoft

    • Credential covering data preparation and modeling in Power BI.
    • Covers DAX, reporting, and dashboard concepts.

  • NVIDIA Certified Professional: Agentic AI

    NVIDIA

    • Credential covering agentic AI system concepts.
    • Covers large language models, tools, and evaluation concepts.

  • NVIDIA Certified Associate: Generative AI LLMs

    NVIDIA

    • Credential covering large language model concepts.
    • Covers transformer architectures and generative AI techniques.

  • Databricks AI Agent Fundamentals

    Databricks Academy

    • Credential covering foundational AI agent concepts.
    • Covers Databricks tools, retrieval, and structured outputs.

  • AWS Solutions Architect

    Amazon Web Services

    • Credential covering AWS architecture design.
    • Covers secure, resilient, and performance-aware cloud solutions.

  • Databricks Platform Architect

    Databricks

    • Credential covering Databricks platform architecture concepts.
    • Covers workspace, data, and governance concepts.

  • Databricks Advanced MLOps

    Databricks

    • Credential covering MLOps concepts on Databricks.
    • Covers model lifecycle, deployment, and monitoring concepts.

  • NVIDIA Accelerated Data Science Professional

    NVIDIA

    • Credential covering accelerated data science workflows.
    • Covers GPU-accelerated data processing and machine learning concepts.

  • Dataiku ML/MLOps & Generative AI Practitioner

    Dataiku

    • Credential covering machine learning, MLOps, and generative AI concepts.
    • Covers Dataiku workflows for data and model lifecycle activities.

  • AWS Generative AI Practitioner

    Amazon Web Services

    • Credential covering generative AI concepts on AWS.
    • Covers foundation models and responsible AI considerations.

Languages

  • English

    Fluent

  • French

    Professional

  • Tamil

    Native

</Skills>

Tech Stack

  • Python
  • PyTorch
  • R
  • Scala
  • Azure-SQL
  • MySQL
  • Redis
  • PostgresSQL
  • GITHUB
  • HuggingFace
  • GIT
  • Anaconda
  • Apache-Spark
  • Apache-Airflow
  • Apache-Hadoop
  • Apache-Cassandra
  • Apache-Kafka
  • AWS
  • Azure
  • GCP
  • Power-BI
  • Tableau
  • NumPy
  • Pandas
  • Scikit-learn
  • Matplotlib
  • Plotly
  • Streamlit
  • Flask
  • Docker
  • Kubernetes
  • TensorFlow
  • HTML5
  • CSS3
  • JavaScript
  • React
  • Node.js
  • MongoDB
  • GraphQL
  • Confluence
  • Jira
  • Excel
  • FastAPI
  • OpenCV
  • Databricks
  • Snowflake
  • Dataiku
  • MLflow
  • LangChain
  • LangGraph
  • n8n

Projects

Personal or academic project summaries. They use public, illustrative datasets and do not represent client work.

Illustration for a patient mortality and readmission prediction project

Patient Mortality & Readmission Prediction

Academic machine-learning project exploring multimodal prediction from structured and unstructured healthcare data.

View case study
Illustration for a customer churn prediction project

Customer Churn Prediction

Personal classification project using telecom customer data to explore retention-oriented model features.

View sourceView case study
Illustration for a heart stroke prediction project

Heart Stroke Prediction

Personal classification project using public health indicators to explore stroke-risk prediction.

View sourceView case study
Illustration for a sentiment analysis project

Sentiment Analyzer

Personal NLP project comparing transformer and traditional machine-learning approaches for text sentiment classification.

View sourceView case study
Illustration for a sleep disorder prediction project

Sleep Disorder Prediction

Personal classification project exploring lifestyle and health features related to sleep disorders.

View sourceView case study
Illustration for an IEEE-CIS fraud-detection project

Fraud Detection using R

Personal analysis of the public IEEE-CIS fraud-detection competition data using ensemble methods.

View sourceView case study
Illustration for a Databricks data-analysis project

Big Data Analysis using Databricks

Personal distributed-data project using Apache Spark and Delta Lake in Databricks.

View sourceView case study
Illustration for a medical cost prediction project

Medical Cost Prediction

Personal regression project exploring health-insurance cost features with Python and scikit-learn.

View sourceView case study

Professional approach

Portfolio content is limited to CV-aligned experience, education, languages, credentials, and clearly labelled personal or academic projects.

Writing and public work

Publication

The Validate

A personal publication about AI, machine learning, MLOps, and related engineering practice.

Read the publication →
Code

Public project code

Source repositories for the personal and academic projects described on this site.

Explore GitHub →

Contact