Projects
A curated collection of my projects across applied machine learning, generative AI, data visualization, and cloud-native development — including open-source contributions and research work.
Smart CSV Toolkit
⭐ Featured ProjectInteractive Streamlit app for cleaning and analyzing CSVs with metadata inference, ML-readiness scoring, LLM-powered suggestions, and interactive decision trees. Includes visualization, audit logging, and modular backend design.
Autoencoder Optimization for Anomaly Detection
⭐ Featured ProjectResearch project and IEEE publication benchmarking deep autoencoders against shallow anomaly detection algorithms using ADBench datasets. Designed optimized autoencoders and evaluated performance across domains.
SpeakMind
⭐ Featured ProjectConversational AI mental health assistant leveraging Hugging Face models, LangChain, and NLP pipelines. Provides context-aware dialogue, empathetic responses, and journaling features.
Data Analytics Dashboard
Collection of dashboards for sales, marketing, and financial data using Python, Power BI, and Excel. Includes customer segmentation, sales performance analysis, and visualization for decision-making.
RentBoat
Full-stack online boat rental system with booking, payments, and availability tracking. Developed as part of academic work with front-end, backend, and database integration.
AB Lab
End-to-end A/B testing toolkit in Python with a Streamlit interface. Enables researchers, data scientists, and product teams to design, simulate, and analyze experiments with statistical rigor.
CompeteDS
Open-source platform to help data scientists stay informed and engaged. Provides curated Kaggle competitions, resources, and automation tools for active learners.