Portfolio of M. Naveen — Aspiring Data Engineer with expertise in Python and SQL, passionate about building scalable data systems and delivering impactful data-driven solutions.
Aspiring Data Engineer with expertise in Python and SQL, seeking to contribute to a reputed IT organization by building scalable data systems and delivering impactful data-driven solutions. Currently pursuing B.Tech in Artificial Intelligence & Data Science at Stella Mary's College of Engineering (2025 - 2029) with an 8.5 CGPA. Technical toolkit includes Python, PostgreSQL, MySQL, SQL, IoT, HTML5, Web Designing, Data Analysis, Git, and Generative AI.
Python, PostgreSQL, MySQL, SQL, Data Pipelines, ETL & ELT, Data Modeling, Data Analysis, Git, HTML5, Web Designing, IoT, MS Excel.
Languages: Tamil, English, Telugu. Hobbies: Exploring New Tech, Coding Small Projects, Cooking.
GitHub Profile LinkedIn ProfileAn interactive mobile application that allows users to write, execute, and experiment with SQL queries in a hands-on environment. Features local query execution, schema visualization, and performance benchmarking.
View ProjectA high-performance application for performing statistical frequency analysis on massive datasets, aiding in distribution pattern recognition, outlier identification, and automated data interpretation.
View ProjectAn intelligent AI-powered student safety and monitoring solution designed to predict and reduce dropout rates in College/University environments, providing real-time data alerts and preventative analytics.
View ProjectA precision utility tool designed to calculate academic cutoff scores across various Tamil Nadu entrance systems with precision, ease, and real-time rank estimation.
View ProjectAn exploratory project integrating Generative AI capabilities to produce intelligent, context-aware responses, natural language data queries, and automated report summarization.
View ProjectA lightweight, offline-capable voice recognition model built to function reliably without internet connectivity, enabling low-latency local AI inference and privacy-first audio command ingestion.
View ProjectArchitectural principles for modern ETL/ELT pipelines: idempotent ingestion, partition schemes, schema evolution, and automated data quality checks.
Read ArticleDeep-dive into query execution plans, B-Tree vs GIN indexes, CTE performance tuning, and optimizing complex join operations on relational databases.
Read ArticleKey learnings from competing in the Data Refinery Contest: handling raw messy streams, feature engineering, and high-throughput data transformations.
View PostHow we leveraged student performance indicators, attendance patterns, and predictive machine learning models to build early warning dropout prevention systems.
Read ArticlePresenting real-time problem solving and data-driven architectures during 24-hour national hackathon challenges.
View PostOptimizing speech recognition models for zero-connectivity environments with lightweight quantization and low memory footprints.
Read ArticleDemonstrating data pipelines and intelligent applications at AI Expo 2k25 with fellow engineers and industry practitioners.
View PostWalkthrough of how SQL Mobile Playground runs queries locally, parses relational syntax, and displays instant execution results.
View DemoEmail: naveen.ai25@stellamaryscoe.edu.in
Phone: +91 6381412882
Location: Erode, Tamil Nadu, India
Portfolio: naveen-portfolio-ebon.vercel.app
LinkedIn: linkedin.com/in/naveen-m
GitHub: github.com/nrnnaveen