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In-depth breakdown of projects — Pradip Kale
┌────────────────────────────────────────┐
│ YOUR EXPERT PORTFOLIO (3 Projects) │
└───────────────────┬────────────────────┘
│
┌────────────────────────────┼────────────────────────────┐
│ │ │
▼ ▼ ▼
┌──────────────────┐ ┌──────────────────┐ ┌──────────────────┐
│ PROJECT 1 │ │ PROJECT 2 │ │ PROJECT 3 │
├──────────────────┤ ├──────────────────┤ ├──────────────────┤
│ Domain: │ │ Domain: │ │ Domain: │
│ Data Engineering │ │ Predictive │ │ Real-Time │
│ & Core Analytics │ │ Modeling │ │ Automation │
└──────────────────┘ └──────────────────┘ └──────────────────┘
Total Users
Total Posts
Total Views
Uptime
Tech Stack: Node.js, Express, Supabase, EJS, JavaScript
Features: User Authentication, Real-time Chat, Content Management, Cognitive Testing
A comprehensive ideology analysis platform fostering critical thinking through interactive content and community engagement.
Status: Live & Active
Tech Stack: React, Node.js, MongoDB, Stripe API
Features: Product Catalog, Shopping Cart, Payment Integration, Admin Dashboard
Full-featured e-commerce solution with secure payment processing and inventory management.
Status: Development
Tech Stack: Vue.js, Express, PostgreSQL, Socket.io
Features: Real-time Updates, Team Collaboration, Progress Tracking, File Sharing
Collaborative project management tool with real-time synchronization and team communication features.
Status: Completed
Tech Stack: PHP, Laravel, MySQL, Bootstrap
Features: Course Management, Student Portal, Quiz System, Progress Analytics
Educational platform for online learning with interactive courses and assessment tools.
Status: Completed
Tech Stack: Python, Pandas, Plotly, Streamlit
Data Sources: Web Analytics, User Interactions, Performance Metrics
Interactive dashboard analyzing user engagement patterns and platform performance metrics for IAMCALLING.
Insights: 25% increase in user retention identified
Tech Stack: Python, Scikit-learn, NLTK, TensorFlow
Techniques: NLP, Sentiment Analysis, Classification Algorithms
Machine learning model to analyze and categorize political ideologies from user-generated content.
Accuracy: 87% classification accuracy achieved
Tech Stack: R, ggplot2, Shiny, SQL
Analysis: Trend Analysis, Forecasting, Customer Segmentation
Comprehensive sales data analysis with predictive modeling and interactive visualizations.
Impact: 15% improvement in sales forecasting accuracy
Tech Stack: Python, BeautifulSoup, Selenium, Tableau
Methods: Web Scraping, Data Cleaning, Statistical Analysis
Automated data collection and analysis system for market trends and competitor analysis.
Output: Weekly market intelligence reports
Skills: JavaScript, Node.js, Express, React, Vue.js
Experience: 3+ years
Specialized in building scalable web applications with modern technologies and best practices.
Expertise: Supabase, PostgreSQL, MongoDB, MySQL
Projects: Multiple production databases
Designed and implemented efficient database schemas for complex applications.
Technologies: CSS3, Bootstrap, Mobile-First Design
Focus: User Experience & Accessibility
Created mobile-responsive interfaces that work seamlessly across all devices.
BCA Graduate specializing in Web Development & Full-Stack Applications.
Email: kalepradip135@gmail.com
LinkedIn: linkedin.com/in/pradip-kale
Instagram: @pradip_kale___