Hello, I am

NAVYA B V

Computer Science & Business Systems student with strong interest in Data Science and Machine Learning

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Professional Summary

I am Navya, a Computer Science and Business Systems student with a strong interest in Data Science and Machine Learning. I enjoy analyzing data to derive meaningful insights and building solutions to real-world problems. Alongside my technical skills, I have developed strong managerial and coordination abilities through active involvement in college clubs and event management, where I have led teams, handled communication, and contributed to successful event execution.

Experience

Open to Opportunities

Internships | Projects

Actively seeking internships and project-based opportunities in Data Science, Machine Learning, and Business Analytics. Eager to contribute my analytical skills and technical expertise to impactful real-world challenges.

Core Interests

Data Science

Machine Learning

Data Analytics

Business Analytics

Data Visualization

Automation

Problem Solving

Technical Skills

Programming

Python SQL C C++ Java

Data Analysis & ML

Pandas NumPy Scikit-learn EDA Data Visualization Statistical Analysis DBMS

Tools & Automation

MS Excel Power BI UiPath (RPA) MATLAB Git Linux

Featured Projects

AirLink

Autonomous Airspace Management System

Python Flask Leaflet Machine Learning

Engineered an AI-driven airspace management system using Flask and Leaflet for real-time drone tracking, collision avoidance, and dynamic rerouting. Integrated a machine learning-based flight path optimizer, improving route efficiency by 30% and reducing airspace congestion.

Open Project in GitHub

Supply Chain Management

Comprehensive Management Dashboard

Data Analytics Frontend Dashboard Business Intelligence

Developed a professional-grade Supply Chain Management dashboard to track inventory, logistics, and vendor performance. Utilized data visualization techniques to present actionable business insights, improving operational efficiency and decision-making.

Open Project in GitHub

InstaTrust

Trust & Verification Platform

Python Flask Instaloader Fraud Detection

Built a web-based fraud detection system using Python and Flask to assess Instagram sellers' credibility. Analyzed profile signals and integrated the Google Safe Browsing API to generate a 0–100 trust score, classifying accounts into Trusted, Caution, or Suspicious.

GitHub Link Coming Soon

Achievements & Positions

MATLAB Hackathon — 3rd Prize

Secured 3rd place among 50+ teams by developing a machine learning-based mental health analysis model. Applied statistical analysis on physiological and voice data to identify emotional patterns.

Udbhava - CSBS | Content Lead

Led content and outreach initiatives, analyzing engagement data to increase technical event participation by 40%, and managed communication and coordination for multiple technical and cultural events.

IEDC Content Team Member

Collaborated in organizing innovation and startup events for 150+ participants at DSCE.

CPA Stage Management

Coordinated large-scale events with audiences of 500+, ensuring smooth execution through teamwork.