Vallen2608

Vallen Dsouza

Vallen Dsouza

πŸš€ Aspiring Software Engineer | Full-Stack Developer | Data Analyst

πŸ”­ About Me:
Hi! I'm Vallen, a highly motivated developer passionate about creating innovative and user-focused solutions. With expertise in full-stack development, data analysis, and artificial intelligence, I am driven to bridge the gap between complex technologies and intuitive user experiences. I thrive on solving challenging problems, exploring new tools, and continuously learning to stay ahead in this dynamic tech world.

Through internships, projects, and hackathons, I've honed my technical skills and gained hands-on experience in building scalable applications, analyzing large datasets, and delivering impactful solutions. Whether it's automating tasks, crafting seamless user interfaces, or deriving meaningful insights from data, my focus is always on delivering excellence.

πŸ’‘ Key Skills:

  • Languages: HTML, CSS, JavaScript, Python, Java
  • Frameworks & Libraries: React.js, Node.js, Express.js, Flask, MongoDB, WebRTC (Socket.io), Bootstrap, TailwindCSS
  • Tools & Technologies: Git, GitHub, Matplotlib, Pandas, NumPy, Streamlit
  • Areas of Expertise: Full-stack development, Data analysis, NLP, and AI-powered solutions

🎯 Professional Experience:

  1. Data Analysis Intern @ Aider Ventures

    • Conducted month-over-month profit analysis for Coco's Restaurant, automating report generation.
    • Performed sales-to-purchase ratio analysis for 300+ shops at Galaxy Enterprises, delivering actionable insights.
    • Automated month-over-month analysis workflows, increasing efficiency and reducing processing time.
  2. Research Intern @ Nienna Labs

    • Collaborated on a finance insights platform to help non-expert users gain meaningful financial knowledge.
    • Benchmarked AI models, including ChatGPT, Microsoft Co-Pilot, and Notebook LM, to evaluate accuracy, clarity, and efficiency.
    • Developed a robust system integrating OCR and PyMuPDFllm4 for processing PDF data, providing clear answers to user queries with a voice-enabled interface.

🎯 Notable Projects:

  • Wanderlust:
    An end-to-end platform for listing and reviewing properties.

    • Enabled property owners to add, edit, and remove listings with detailed descriptions and images.
    • Integrated a location-based search feature for enhanced user experience.
    • Tech Stack: EJS, Express.js, MongoDB, Node.js
  • Virtual Boardroom Simulator:
    A real-time video conferencing tool with collaborative features.

    • Implemented video/audio controls, chat, screen sharing, and meeting link integration.
    • Enhanced functionality with a collaborative whiteboard and security measures.
    • Tech Stack: React.js, Node.js, Express.js, Socket.io
  • NLP Web Text Summarizer:
    A user-friendly platform for summarizing text using AI models.

    • Features customizable summarization length, voice-based queries, and a clean UI.
    • Tech Stack: Flask, HTML, CSS

πŸ† Achievements & Certifications:

  • Winner: Hackverse 5.0 by NITK in the EdTech Domain
  • Participant: Smart India Hackathon 2024 and Parul HackVerse 2025
  • Certifications:
    • Full Stack Developer (Issued by [Certifying Organization])
    • AI Tools Workshop

🌟 What I’m Exploring:
I am currently diving deeper into advanced NLP models, exploring innovative AI-driven data solutions, and experimenting with real-time processing techniques for interactive applications.

🌱 Future Goals:

  • Enhance my understanding of scalable backend architectures.
  • Contribute to impactful open-source projects.
  • Build solutions that positively influence and empower communities worldwide.

πŸ“« Let’s Connect:

Projects

E Wastify

Close the Loop: Recycle Your Electronics for a Greener Tomorrow.HTML, CSS, JavaScript, KINDE

EduByte

Where Learning Takes FlightFirebase, TypeScript, Nodejs, nextjs, PocketBase, GeminiPro, Codellama 70B instruct

Skills

Python
Node.js
React.js
Socket.IO
Full Stack

Experience

  • Aider Ventures - Data Analysis Intern (Remote)
    June 2024 - Present

    Conducted sales data analysis using Python and Matplotlib to identify key trends and insights. Provided actionable recommendations to improve business strategies, helping the company optimize sales performance across multiple stores.

  • Nienna Labs - Research Intern
    June 2024 - October 2024

    Collaborated on a project to create a finance insights platform designed for users with limited financial knowledge.
    Conducted model testing using RBI’s June 2024 report on parameters such as accuracy, contextual clarity, and efficiency.
    Evaluated and benchmarked models like ChatGPT, Microsoft Co-Pilot, and Notebook LM, determining Microsoft Co-Pilot as the most suitable for user needs.
    Built a custom model using a combination of OCR tools and PyMuPDFllm4 to extract graphs, images, and text from PDFs.
    Developed a user-friendly web interface hosted on Streamlit, enabling users to upload PDFs, ask questions, and receive both text and voice-based answers.
    Enhanced accessibility by integrating a voice query feature and optimized the system for large PDF files.