About Me
Frontend developer turned Data Science enthusiast[cite: 5]. I specialize in building user-friendly web applications that leverage AI-powered services[cite: 5, 6]. With a Bachelor's in CSIT from Patan Multiple Campus [cite: 10, 11], I focus on creating scalable architectures and data-driven solutions[cite: 21].
Experience
Data Science Intern
Tech Company XYZ | Jan 2023 - Present
Developed machine learning models for predictive analytics, collaborated on data pipelines, and presented insights to stakeholders.
Frontend Developer
Startup ABC | Jun 2021 - Dec 2022
Built responsive web applications using React.js, integrated APIs, and optimized performance for better user experience.
Education
Bachelor of Science in Computer Science and Information Technology
Patan Multiple Campus | 2017 - 2021
Focused on software development, data structures, and emerging technologies.
Data & AI Projects
Predictive Analytics Hub
Integrating AI-generated content with React.js to visualize complex data patterns[cite: 22, 23].
AI Service Booking
Developed a professional interface for service booking using AI-assisted development tools[cite: 22, 24].
Data Management System
Task management app utilizing localStorage for persistent data storage and CRUD operations[cite: 28, 30].
Scalable Edusity Arch
Building scalable architectures for educational data platforms using React routing[cite: 19, 21].
Customer Churn Prediction
Built a machine learning model to predict customer churn using Python, scikit-learn, and pandas. Achieved 85% accuracy with feature engineering and cross-validation techniques.
Sales Dashboard
Created an interactive dashboard using Tableau and SQL to visualize sales data. Implemented real-time updates and drill-down capabilities for better business insights and decision-making.
NLP Sentiment Analysis
Developed a natural language processing application for sentiment analysis on social media data. Used NLTK and TensorFlow to classify text and provide actionable insights for marketing strategies.
Recommendation Engine
Designed a collaborative filtering recommendation system for an e-commerce platform. Utilized matrix factorization techniques and achieved 92% precision in personalized product recommendations.
Achievements
Completed 60 consecutive days of coding with public proof of work on Twitter, demonstrating consistency and advanced problem-solving skills[cite: 33, 34, 36].