Aspiring Data Analyst
Transforming complex data into actionable business insights. Specialized in statistical analysis, data visualization, and predictive modeling to drive strategic decision-making and measurable growth across industries.
Passionate about turning data into insights and building solutions that make a difference
I'm a final-year Electronics and Computer Engineering student at VIT Chennai specializing in data analysis and machine learning. My expertise includes Python, SQL, statistical modeling, and data visualization tools like Power BI.
During internships at MedXAI and Musafir India Trip, I developed predictive models and automated ETL processes for large datasets. I'm passionate about transforming complex data into strategic business insights that drive measurable outcomes.
My certifications and academic scholarships reflect my commitment to continuous learning in the analytics domain. I thrive on solving challenging problems through data-driven approaches and am eager to contribute to impactful technological solutions.
VIT Chennai
2022 - 2026 • CGPA: 8.66
Greenwood Public School, Gwalior
2021 • 97%
Greenwood Public School, Gwalior
2019 • 95.6%
My professional journey and internships
Built and validated forecasting models (Prophet, XGBoost) to predict demand for 20+ destinations. Automated ETL pipelines for 50K+ multi-source records, reducing data preprocessing time by 80%. Conducted in-depth analysis of flight and freight patterns to and from India, uncovering key travel and logistics trends. Translated insights on customer behavior and seasonal demand shifts into strategic recommendations that optimized business growth and operational efficiency.
Developed advanced medical image analysis models leveraging YOLOv8 and TensorFlow to detect and classify abnormalities in healthcare datasets. Optimized model runtime by 20% through performance tuning and efficient pipeline design, enhancing real-time diagnostic capabilities. Contributed to the development of AI-driven healthcare solutions aimed at improving medical diagnosis accuracy and supporting clinical decision-making.
Leadership roles and organizational contributions
Led sustainable development projects generating revenue of ₹2,00,000+ with 35% CAGR. Managed team of 15+ members and coordinated with multiple stakeholders.
Managed events with 30,000+ attendees, handled guest care, and coordinated logistics for major technical and cultural festivals.
Part of the team that organized 10+ events annually with a cumulative footfall of 20,000+. Gained hands-on experience across operations, content creation, design, marketing, and finance.
A showcase of my recent work and side projects
Analyzed 1.5M+ air quality records across India using Python, SQL, and Power BI. Built interactive dashboards and uncovered key trends like evening PM2.5 spikes and winter pollution patterns, providing insights for policymakers.
Recognition and accomplishments in competitions and hackathons
Hackathon
Reached zonal finals in HSBC hackathon, showcasing innovative solutions in fintech domain.
Hackathon
Finalist in Temenos-SRM hackathon, demonstrating expertise in banking technology solutions.
Entrepreneurship Exposition
Secured 4th place nationally in Enactus competition for sustainable development projects.
Professional certifications and academic recognition
Udemy
Comprehensive bootcamp covering data analysis, visualization, and statistical modeling techniques.
Oracle
Certified in Oracle Cloud Infrastructure and AI foundations for modern data platforms.
Oracle
Certified in Oracle Data Platform fundamentals and database management systems.
Udemy
Mastered Google Data Studio for creating interactive dashboards and data visualizations.
IBM
Comprehensive Python programming course covering data structures, algorithms, and data science applications.
Technologies and tools I work with
Let's work together to build something amazing
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