I'm a 4th-year Computer Science Engineering student at IEM Kolkata with a stellar 9.87 GPA and a passion for creating innovative tech solutions! From building AI-powered applications to analyzing complex datasets, I love turning ideas into reality through code.
- π Final Year CSE Student at Institute of Engineering & Management, Kolkata
- π Academic Topper - Ranked 1st in 2nd Year, 8th in 1st Year
- π NPTEL Achiever & Domain Scholar (Top 0.5% in Jan-June 2025)
- πΌ 3 Industry Internships completed (VECC, Accenture, TEMS-Tech)
- π Published Research on Gen-AI in Software Development
- π Multiple Hackathon Winner (SIH-2024, IIITD Tech Crisis, and more!)
π SWE Summer Intern @ VECC - Kolkata (May'25 - June'25)
- Built network security applications serving 50+ users
- Implemented Python cryptography and OS threading for enhanced security
- Developed socket connectivity solutions for secure data transfer
π Technical Project Intern @ Accenture (Apr'24 - May'24)
- Improved system interoperability by 15% through optimized API integration
- Reduced data transfer latency by 30% using advanced middleware
- Conducted technical client meetings for system optimization
β‘ Project Management Trainee @ TEMS-Tech (Oct'24 - Dec'24)
- Managed Agile documentation for multiple projects
- Achieved 95% issue resolution within 24 hours
- Ensured uninterrupted project delivery through efficient management
π 92% User Satisfaction Rate | 50+ Active Users
An intelligent full-stack application that revolutionizes interview preparation with AI-powered simulations and personalized feedback.
π οΈ Tech Stack: React.js β’ Python β’ Flask β’ MySQL
β¨ Features: Real-time AI feedback β’ Performance analytics β’ Personalized recommendations
π Impact: Helped 50+ users improve their interview skills
β‘ 1.2s Average Response Time | 1000+ Document Pages
Revolutionary AI application enabling natural language conversations with multiple PDF documents for enhanced productivity.
π οΈ Tech Stack: Python β’ LangChain β’ ChromaDB β’ Streamlit β’ PyQt5
β¨ Features: Multi-document querying β’ Real-time chat β’ Vector database integration
π Impact: Supports 100+ concurrent users with lightning-fast responses
π 95% Data Accuracy | 100K+ Records Analyzed
Comprehensive data analysis platform providing actionable insights from global COVID-19 data trends.
π οΈ Tech Stack: Python β’ Pandas β’ NumPy β’ Matplotlib β’ Seaborn β’ SQL
β¨ Features: Interactive visualizations β’ Trend analysis β’ Predictive modeling
π Impact: Generated 10+ actionable visual reports for decision making
π― Advanced ML Pipeline | Statistical Analysis
Machine learning project analyzing survival factors with comprehensive data preprocessing and predictive modeling.
π οΈ Tech Stack: Python β’ Scikit-Learn β’ Pandas β’ Statistical Analysis
β¨ Features: EDA β’ Feature engineering β’ Multiple ML algorithms β’ Model evaluation
π Impact: Achieved high accuracy in survival prediction with detailed insights
π° 15% Revenue Growth Identified | 12 Regions Analyzed
Data-driven sales analysis platform uncovering growth patterns across multiple product lines and geographical regions.
π οΈ Tech Stack: Python β’ Pandas β’ Matplotlib β’ Seaborn β’ SQL
β¨ Features: Regional analysis β’ Growth pattern identification β’ Revenue optimization
π Impact: Contributed to 15% increase in quarterly revenue through insights
π Comprehensive EDA | Pattern Recognition
Advanced exploratory data analysis platform for the classic Iris dataset with modern visualization techniques.
π οΈ Tech Stack: Python β’ Jupyter β’ Pandas β’ Seaborn β’ Statistical Analysis
β¨ Features: Interactive visualizations β’ Pattern identification β’ Statistical insights
π Impact: Enhanced understanding of classification algorithms through detailed EDA
- π₯ Ranked 1st in 2nd Year Academic Curriculum
- π Ranked 8th in 1st Year Academic Curriculum
- β GPA: 9.87/10 (Up to 6th Semester)
- π NPTEL Domain Scholar - Top 0.5% (Jan-June 2025)
- π Minor in Computer Programming - IIT Madras (Grade: AA)
- π₯ Top 50/1100 - IIITD Tech Crisis Challenge by Unstop
- π― Top 50/650 - Smart India Hackathon (SIH-2024)
- π Top 100/1400 - Pixel Palettes by Manipal University
- π Published Research Paper on Gen-AI in Software Development
- π 30% Improvement in decision-making accuracy through AI tools
- β‘ 60% Reduction in data processing time across 5 software teams
- ποΈ 90% Adoption Rate across software development teams
class CurrentFocus:
def __init__(self):
self.learning = [
"Advanced LangChain Applications",
"Agentic AI Frameworks",
"Cloud Architecture Patterns",
"System Design at Scale"
]
self.building = [
"Next-gen AI Interview Platform",
"Multi-modal Document Analysis Tool",
"Real-time Data Analytics Dashboard"
]
self.goals_2025 = [
"Contribute to 10+ Open Source Projects",
"Complete Advanced AI/ML Certifications",
"Launch SaaS Product",
"Mentor 50+ Junior Developers"
]
- π― I believe data tells stories, and I love being the translator!
- π Problem-solving is my superpower - I've resolved 95% of project issues within 24 hours
- π Always excited about the latest in AI and emerging technologies
- π Continuous learner with multiple certifications across platforms
- π€ Love mentoring and sharing knowledge with the developer community
- β Fueled by coffee and curiosity about how things work
β¨ "Code is like humor. When you have to explain it, it's bad." - Cory House β¨
Made with β€οΈ by Swastik Chattopadhyay | β Star my repos if you find them interesting!