Hi, I'm Karthick Raja

Reduced weekly sales reporting time by 12 hours and improved sales conversion by 15% through real-time UAE emirate-level tracking. Built a 5-page Power BI dashboard with KPIs tracking quotation value, win/pending opportunities, win rate, customer performance, product demand, steel volume, and UAE emirate-level activity.

Analyzed $2.3M revenue and $286K profit across 9,994 orders, enabling data-driven decisions that improved customer retention and YTD performance. Designed a Star Schema and developed 20+ DAX measures covering revenue growth, profit margin, average order value, and customer retention.

Identified ₹4.87B in transaction value and 150K+ transactions, enabling the bank to optimize fee structures and reduce high-failure segments by 25%. Built Power Query ETL pipelines and SQL validation workflows using joins, CTEs, aggregations, and window functions.

Analyzed .3M revenue and profit across 9,994 orders, enabling data-driven decisions that improved customer retention and YTD performance. Designed a Star Schema and developed 20+ DAX measures covering revenue growth, profit margin, average order value, and customer retention.

A Power BI dashboard analyzing sales, profitability, customer behavior, and regional performance across retail operations. Features drill-through reports, KPI cards, dynamic filtering, and time-intelligence calculations to support data-driven business decision-making.

An interactive Power BI dashboard designed to monitor and analyze SLA, latency, and failure rates from 100K+ API log records. Features real-time monitoring and incident detection capabilities to improve system reliability.

A comprehensive Data Analytics and Business Intelligence portfolio on GitHub, showcasing Power BI dashboards, SQL analytics, Python-based data processing, ETL workflows, KPI reporting, and interactive BI solutions across Banking, Retail, Customer Analytics, and IoT domains.

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.

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.

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.

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.

A full-stack web application to streamline and manage the entire job search process. Track applications across companies with status updates (Applied, Phone Screen, Interviewing, Offer, Rejected), priority levels, contacts, follow-up dates, and notes — all in one place. Features CSV export, smart filtering by status and region, and a clean dark-mode dashboard UI.