I build data-driven solutions that transform raw datasets into meaningful insights through analytics, machine learning, interactive dashboards, and AI-powered data quality systems.
I'm a Computer Science graduate with a passion for transforming raw data into meaningful business insights. I enjoy solving real-world problems through analytics, machine learning, business intelligence, and data quality engineering.
My work focuses on developing practical solutions—from interactive dashboards and predictive models to AI-powered data quality systems—that help organizations improve data reliability and make confident, data-driven decisions.
I believe analytics is most valuable when it delivers measurable business impact, not just visualizations. Every project I build aims to solve a genuine business challenge using clean, reliable, and actionable data.
Building dashboards and reports that support business decision-making.
Improving data reliability through profiling, validation, anomaly detection, and quality assessment.
Developing predictive models using NLP, classification algorithms, and feature engineering.
Creating interactive Power BI dashboards and KPI-driven analytics solutions.
An intelligent data quality platform that automates data profiling, detects quality issues, and generates actionable recommendations to improve data reliability before analysis and machine learning.
Poor data quality leads to inaccurate reporting, unreliable dashboards, and ineffective machine learning models. AI Data Quality Guardian helps organizations identify data issues early by automatically profiling datasets, calculating quality metrics, detecting anomalies, and providing intelligent recommendations for data improvement.
This application is designed for local deployment using Docker Compose. The complete source code, setup guide, and documentation are available in the GitHub repository.
A selection of projects demonstrating data analysis, machine learning, business intelligence, and predictive analytics using real-world datasets.
Interactive Power BI dashboard analyzing remote, hybrid, and on-site workforce trends to uncover productivity, engagement, and business insights.
NLP-powered analytics solution that detects deceptive user interface patterns, maps them to consumer protection regulations, and visualizes insights through Power BI.
Machine learning solution that identifies fraudulent online reviews using Natural Language Processing, feature engineering, and classification models.
Developed a fraud detection model using machine learning to identify suspicious financial transactions through behavioral and transaction pattern analysis.
Technologies and tools used for data analysis, business intelligence, machine learning, and data quality solutions.
Jyothi Engineering College, Kerala
Graduated 2025Interested in discussing opportunities, collaborating on projects, or learning more about my work? Feel free to reach out.