Turning data into insights & ideas into impactful applications
BCA (Hons) student at K.R. Mangalam University with 8.6/10 GPA, training to become an AI & Data Science Engineer
Full-stack developer building responsive web applications with modern frameworks and seamless user experiences
Transforming raw data into actionable insights through statistical analysis, machine learning, and data visualization
Creating impactful applications that bridge the gap between complex data and real-world business solutions
Training in AI & Data Science engineering to develop intelligent systems and predictive analytics models
Passionate about turning innovative ideas into scalable applications that solve meaningful problems
Data science and development technologies I use to build intelligent solutions
AI-powered applications showcasing data science and full-stack development

Comprehensive Power BI dashboard analyzing global development trends using World Bank's World Development Indicators dataset. Features 1,000+ socio-economic indicators across 200+ countries with interactive visualizations, dynamic DAX calculations, and advanced data modeling for tracking GDP, population, life expectancy, and environmental metrics.

Interactive, insight-driven Power BI dashboard built using real-world clinical data from Kaggle. Objective: To identify and visualize key risk factors contributing to heart disease using a combination of clinical data analysis, Python preprocessing, and advanced DAX logic.

AI-powered air quality prediction platform using machine learning models to forecast AQI levels. Features real-time data visualization, interactive dashboards, and predictive analytics for environmental monitoring.

Modern responsive website with appointment prediction system and patient analytics dashboard. Features optimized UI/UX and data-driven insights for clinic management.

Sustainable e-commerce platform with intelligent product recommendation system, environmental impact analytics, and responsive design. Integrated ML-based user behavior analysis.
Data science and development certifications showcasing expertise growth
Microsoft • 2024
Core concepts and applications of generative AI and large language models
Stanford/Coursera • 2024
Comprehensive ML algorithms, supervised and unsupervised learning techniques
IBM • 2023
Python programming for data science using Pandas, NumPy, and ML libraries
Google • 2024
Neural networks, TensorFlow, and deep learning model development
Trainity • 2024
Database design, optimization, and data warehousing for ML applications
Be10x • 2024
Advanced statistics, hypothesis testing, and predictive modeling
Great Learning • 2024
Modern React development and full-stack web application deployment
Ready to discuss your next project? I'd love to hear from you.