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Ganesh

Ganesh

Data Scientist | AI/ML Engineer | AI & Cloud Specialist

Talent
ChennaiMember since August 20, 2026
PythonCNNLSTMDeep LearningNLPML PipelinesRAG (Retrieval-Augmented Generation)LLM DeploymentFastAPIFlaskPandasStatistical ModelingFeature EngineeringPower BIGitGitHubCI/CD PipelinesDeploymentCross-functional Collaboration
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PythonCNNLSTMDeep LearningNLP

About

Results-driven Data Scientist with 1+ year of industry experience in ML engineering, cloud AI, and end-to-end data pipelines. Proficient in Python, TensorFlow, AWS (SageMaker, Bedrock), and RAG/LLM deployment. Hands-on experience with FastAPI, CI/CD pipelines, MLflow, and Power BI. Proven ability to deliver scalable, production-grade data science solutions through cross-functional collaboration.

Experience

Analyst at Avasoft (2025-08 – 2026-08)

  • Built and deployed end-to-end ML pipelines using AWS SageMaker (Training Jobs, Endpoints, Pipelines) for production model lifecycle management.
  • Designed and implemented RAG (Retrieval-Augmented Generation) pipelines using AWS Bedrock models for enterprise AI applications.
  • Developed and exposed ML model APIs using FastAPI, enabling real-time inference for business applications.
  • Automated deployment workflows via CI/CD pipelines (GitHub Actions) for model versioning, testing, and production release.
  • Leveraged AWS Bedrock Data Automation for intelligent document processing and unstructured data extraction.
  • Built Power BI dashboards and reporting solutions to communicate model performance and business KPIs to stakeholders.
  • Managed infrastructure and deployments through IDP (Internal Developer Platform) for streamlined team workflows.
  • Applied statistical modeling and feature engineering to predictive models, driving measurable improvements in business outcomes.
  • Mentored junior analysts on ML best practices and contributed to team knowledge-sharing initiatives.

Data Analyst Intern at Syncorb (2025-02 – 2025-04)

  • Processed and structured large-scale Tamil Nadu demographic datasets using Pandas with multi-level indexing, ensuring data integrity and format consistency.
  • Optimized data manipulation and aggregation pipelines, enabling efficient reporting and data-driven decision-making.

Program Developer Intern at Jazaa (2023-06 – 2023-11)

  • Developed a face recognition system using Python, OpenCV, and AWS to identify returning customers via CCTV, automating customer engagement workflows.
  • Integrated a computer vision pipeline with cloud infrastructure for real-time detection at scale.

Education

B.Tech in Artificial Intelligence & Data Science – B.S. Abdur Rahman Crescent Institute of Science & Technology (2021 – 2025)

Skills

Data ScientistAI/ML EngineerAI & Cloud Specialist

Reviews

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