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About

I am Sebastin Naveen Kumar, a B.Tech in Mechanical Engineering graduate from SSM Institute of Engineering and Technology, Dindigul, class of 2025. With 6+ months of hands-on experience in data analytics and business intelligence, I have worked on projects such as manufacturing machine failure prediction and supply chain analytics, leveraging skills in SQL, Python, Power BI, and Tableau. I have also completed internships at Green Connect Pvt Ltd, SV Engineers Pvt Ltd, and Southern Railways (Info-Tech), where I focused on data validation, ETL pipelines, and data modeling. My strongest skills include data ingestion, API integration, and predictive analytics, and I am eager to take on a Data Analyst role where I can apply my technical expertise and contribute to data-driven decision-making.

Experience

  1. Data & Quality Intern

    Green Connect Pvt Ltd

    Nov 2024 – Dec 2024 · Salem

    Performed data validation and ETL on 1000+ records; modeled data relationships in quality gap analysis; coordinated data flows between systems.

  2. Production Data Intern

    SV Engineers Pvt Ltd

    Jan 2024 – Feb 2024 · Dindigul

    Cleaned, validated, and modeled production data; engineered data pipelines for inventory and quality metrics; achieved 15% improvement in data accuracy.

  3. Systems Intern

    Southern Railways (Info-Tech)

    Jun 2023 – Jul 2023 · Madurai

    Analyzed system control-flow logic; documented data relationships in train braking/acceleration systems; translated technical workflows for stakeholders.

Education

  1. SSM Institute of Engineering & Technology

    BE Mechanical Engineering

    2021 – 2025 · Grade: 7.9

Projects

  • Manufacturing Machine Failure Prediction & Data Modeling Dashboard

    • SQL
    • Python
    • Pandas
    • NumPy
    • Scikit-learn
    • Power BI
    • DAX

    Designed and engineered data model representing 10,000+ machine records with 15+ interconnected predictive features. Built predictive analytics pipeline with SQL data extraction, Python ETL (Pandas/NumPy), and Scikit-learn ML model. Deployed interactive Power BI dashboard with DAX measures, risk categorization, and entity-relationship visualizations.

  • Supply Chain Analytics — Data Ingestion & Optimization

    • SQL
    • Python
    • Power BI
    • DAX

    Built ETL pipeline ingesting supply chain data via SQL queries and APIs. Performed data modeling to structure logistics KPIs and carrier performance relationships. Deployed Power BI dashboard enabling demand forecasting and inventory optimization.

Certifications

  • Artificial Intelligence Certification

    Programming Hub · 2024

  • Master Program in Data Analytics

    2026

  • Python

    2022

  • SAP HANA MM

    2025

Achievements

  • Artificial Intelligence Certification

    2024

    Artificial Intelligence Certification

  • Master Program in Data Analytics

    2026

    Master Program in Data Analytics (in progress)

  • Python Certification

    2022

    Python Certification

  • SAP HANA MM Certification

    2025

    SAP HANA MM Certification

Sebastin naveen kumar

B.Tech Mechanical Engineering graduate from Ssm Institute of Engineering and Technology, Dindigul

Trichy

About

I am Sebastin Naveen Kumar, a B.Tech in Mechanical Engineering graduate from SSM Institute of Engineering and Technology, Dindigul, class of 2025. With 6+ months of hands-on experience in data analytics and business intelligence, I have worked on projects such as manufacturing machine failure prediction and supply chain analytics, leveraging skills in SQL, Python, Power BI, and Tableau. I have also completed internships at Green Connect Pvt Ltd, SV Engineers Pvt Ltd, and Southern Railways (Info-Tech), where I focused on data validation, ETL pipelines, and data modeling. My strongest skills include data ingestion, API integration, and predictive analytics, and I am eager to take on a Data Analyst role where I can apply my technical expertise and contribute to data-driven decision-making.

Experience

Education

Projects

Skills

Certifications

Achievements

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