About Me
Final-year Computer Science student specializing in AI & Machine Learning at VIT Bhopal with hands-on experience in Data Analytics and Generative AI. Previously worked as a Data Analytics Intern at TerraPay, where I analyzed large-scale transaction data, built automated reporting pipelines, and developed analytical solutions for business decision-making. Currently focused on building AI-powered applications, LLM workflows, RAG systems, and intelligent automation solutions. Passionate about solving real-world problems through data, machine learning, and software engineering.
Skills & Technologies
Work Experience
Data Analytics Intern
Analyzed over 500K monthly financial transaction records using Python and SQL, implementing automated data quality validation pipelines that improved reporting accuracy by 20%. Collaborated with cross-functional teams to design and optimize ETL pipelines, reducing manual processing efforts by 50% and enabling scalable automated reporting workflows.
Projects
VaaniAI
Developed a multilingual AI healthcare receptionist platform enabling voice-based appointment booking through real-time conversational workflows using FastAPI and browser-based voice interaction.
Brain Tumor Classification
Developed and trained deep learning models including VGG16, ResNet50, and InceptionV3 on a dataset of over 17,000 MRI images for multi-class brain tumor classification, achieving accuracy above 99%.
Hand Sign Recognition System
Built a real-time hand sign recognition pipeline using Python and OpenCV to detect hand gestures and classify sign language alphabets from live video streams.
Education
B.Tech in Computer Science & Engineering
Computer Science