Hi, I'm Karthick Raja

I'm a Computer Science student from Chennai who loves working with data. I build analytics dashboards and data-driven tools using Python and SQL.

My Projects Contact Me View Resume Download

Python SQL Power BI Tableau Excel Pandas

About

About Me

I love working with data and building things that are actually useful.

I'm a final-year Computer Science student at Hindusthan Institute of Technology. I enjoy turning raw data into clear results — whether it's a model, a chart, or an app.

I've built end-to-end projects like an API monitoring system, stock market dashboards, and AI audio classifiers. I love learning new things and solving real problems with data and analytics.

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Currently Studying

B.E. Computer Science Engineering

Hindusthan Institute of Technology · 2022–2026

Based In

Chennai, Tamil Nadu, India

Primary Focus

Data Analytics & Business Intelligence

Looking For

Internships · Entry-level Roles · Collaborations

Skills

My Skills

Tools and technologies I use regularly.

Python

Pandas

NumPy

Machine Learning

SQL

Excel

Power BI

Git / GitHub

Deep Learning

Audio ML

Projects

My Projects

Click on a project to see more details.

An end-to-end ETL pipeline for 100K+ API log records with automated validation and data quality checks. Achieved 99.5% data consistency and designed dashboards to analyze SLA, latency, and failure rates with real-time monitoring and incident detection capabilities.

End-to-end ETL pipeline for 100K+ API log records

99.5% data consistency with automated validation

SLA, latency, and failure rate dashboards

Real-time monitoring and 30% faster incident detection

Source Code

A comprehensive portfolio analysis dashboard built entirely in Microsoft Excel — designed to help investors track performance, visualize trends, and make data-backed decisions. Processes 10,000+ rows with advanced formulas and interactive visualizations.

Processed and analyzed 10,000+ rows using pivot tables

VLOOKUP and INDEX-MATCH for smart data consolidation

Interactive dashboard with charts and slicers

40% reduction in reporting time with trend analysis

Source Code

A machine learning model using MFCC-based audio feature extraction to identify and classify bird species from audio recordings. Trained on multiple bird species and deployed as an interactive Streamlit web application for real-time predictions.

MFCC-based audio feature extraction pipeline

Machine learning model trained on multiple bird species

Live Streamlit application for real-time prediction

Improved classification accuracy across species

Live Demo Code

A production-ready full-stack application that leverages LLMs to analyze resumes for ATS compatibility. It scores resumes against Data Analyst role profiles, extracts critical insights from PDFs, and generates intelligent rewrite suggestions.

Intelligent ATS scoring & keyword matching

PDF text extraction logic

AI-powered resume rewrite suggestions

Full-stack React, Express, and MongoDB architecture

Live Demo Source Code

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