Passionate about leveraging machine learning and data science to solve real-world problems, with expertise in React Native mobile development and academic research.
Bridging the gap between data science and mobile technology
I'm a passionate data scientist and mobile developer with a strong academic foundation in machine learning and artificial intelligence. My journey combines rigorous academic research with practical application development, specializing in React Native mobile solutions.
With expertise in statistical modeling, deep learning, and mobile app development, I bridge the gap between complex data insights and user-friendly applications. I'm committed to creating innovative solutions that make data-driven insights accessible through intuitive mobile interfaces.
ML Projects
Mobile Apps
Years Experience
Building expertise through rigorous academic pursuit
IIT Gandhinagar
Advanced executive program focusing on data-driven decision making, machine learning, and statistical modeling. Comprehensive training in Python, R, big data analytics, and business applications through live projects and industry collaborations.
L. E. College, GTU
Comprehensive foundation in computer science and Information Technology with focus on algorithms, data structures, and software engineering principles.
Comprehensive toolkit for data science and mobile development
Showcasing data science solutions and mobile applications that solve real-world problems
Comprehensive analytics platform analyzing sales and customer behavior from React Native applications using app crash reports, downloads, and active user counts. Features global and country-specific performance analysis with statistical validation and hypothesis testing.
Innovative React Native application designed for deaf, mute, and deaf-mute users featuring offline-first communication with text-to-speech, speech-to-text, and custom chat implementation. Includes secure authentication and accessibility-focused UI design.
Full-featured React Native task management application with user authentication, persistent local storage using Realm DB, and comprehensive CRUD operations. Features task scheduling, bulk actions, and offline-first architecture.
Comprehensive data analysis project examining the impact of social media on Brazilian political campaigns. Features sentiment analysis, temporal event analysis, and correlation studies across multiple social media platforms with statistical validation.
React Native music instrumental application designed with MIDI compliance guidelines. Features audio processing, music composition tools, and real-time audio manipulation capabilities with TypeScript configuration for enhanced development experience.
End module exam solution for Optimization course at IIT Gandhinagar, focusing on applied optimization techniques in business scenarios. Demonstrates advanced mathematical modeling and optimization algorithms for real-world decision making problems.
Comprehensive repository containing detailed solutions to 20 sample questions from Applied Optimization Course in Data Science. Each solution addresses key optimization concepts with practical applications in machine learning and statistical modeling.
News fetching application built with React Native providing real-time news updates with clean UI design. Features category-based news filtering, offline reading capabilities, and optimized performance for mobile platforms.
Solution for Convolve 3.0 data science competition organized by IIT Guwahati. Demonstrates advanced machine learning techniques, feature engineering, and model optimization strategies for competitive data science challenges.
Comprehensive book management application developed during summer internship at Tatvasoft. Features book catalog management, search functionality, and user-friendly interface design with modern mobile development practices.
Growing expertise in data science and mobile development through hands-on experience
Let's discuss opportunities and collaborations