π Aspiring Software Engineer | Full-Stack Developer | Data Analyst
π 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.
π‘ Key Skills:
π― Professional Experience:
Data Analysis Intern @ Aider Ventures
Research Intern @ Nienna Labs
π― Notable Projects:
Wanderlust:
An end-to-end platform for listing and reviewing properties.
Virtual Boardroom Simulator:
A real-time video conferencing tool with collaborative features.
NLP Web Text Summarizer:
A user-friendly platform for summarizing text using AI models.
π Achievements & Certifications:
π What Iβm 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.
π± Future Goals:
π« Letβs Connect:
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.
Collaborated on a project to create a finance insights platform designed for users with limited financial knowledge.
Conducted model testing using RBIβs 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.